{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Fuzzing in the Large\n", "\n", "In the past chapters, we have always looked at fuzzing taking place on one machine for a few seconds only. In the real world, however, fuzzers are run on dozens or even thousands of machines; for hours, days and weeks; for one program or dozens of programs. In such contexts, one needs an _infrastructure_ to _collect_ failure data from the individual fuzzer runs, and to _aggregate_ such data in a central repository. In this chapter, we will examine such an infrastructure, the _FuzzManager_ framework from Mozilla." ] }, { "cell_type": "markdown", "metadata": { "button": false, "new_sheet": false, "run_control": { "read_only": false }, "slideshow": { "slide_type": "subslide" } }, "source": [ "**Prerequisites**\n", "\n", "* This chapter requires basic knowledge on testing, e.g. from the [Introduction to testing](Intro_Testing.ipynb).\n", "* This chapter requires basic knowledge on how fuzzers fork, e.g. from the [Introduction to fuzzing](Fuzzer.ipynb)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "import fuzzingbook_utils" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "import Fuzzer" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Synopsis\n", "\n", "\n", "To [use the code provided in this chapter](Importing.ipynb), write\n", "\n", "```python\n", ">>> from fuzzingbook.FuzzingInTheLarge import \n", "```\n", "\n", "and then make use of the following features.\n", "\n", "\n", "The Python `FuzzManager` package allows for programmatic submission of failures from a large number of (fuzzed) programs. One can query crashes and their details, collect them into buckets to ensure thay will be treated the same, and also retrieve coverage information for debugging both programs and their tests.\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Collecting Crashes from Multiple Fuzzers\n", "\n", "So far, all our fuzzing scenarios have been _one_ fuzzer on _one_ machine testing _one_ program. Failures would be shown immediately, and diagnosed quickly by the same person who started the fuzzer. Alas, testing in the real world is different. Fuzzing is still fully automated; but now, we are talking about _multiple_ fuzzers running on _multiple_ machines testing _multiple_ programs (and versions thereof), producing _multiple_ failures that have to be handled by _multiple_ people. This raises the question of how to manage all these activities and their interplay." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "A common means to coordinate several fuzzers is to have a central _repository_ that collects all crashes as well as their crash information. Whenever a fuzzer detects a failure, it connects via the network to a _crash server_, which then stores the crash information in a database." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from graphviz import Digraph" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "%3\n", "\n", "\n", "\n", "Crash Database\n", "\n", "\n", "Crash Database\n", "\n", "\n", "\n", "Fuzzer 1\n", "\n", "Fuzzer 1\n", "\n", "\n", "\n", "Crash Server\n", "\n", "Crash Server\n", "\n", "\n", "\n", "Fuzzer 1->Crash Server\n", "\n", "\n", "\n", "\n", "\n", "Crash Server->Crash Database\n", "\n", "\n", "\n", "\n", "\n", "Fuzzer 2\n", "\n", "Fuzzer 2\n", "\n", "\n", "\n", "Fuzzer 2->Crash Server\n", "\n", "\n", "\n", "\n", "\n", "Fuzzer 3\n", "\n", "Fuzzer 3\n", "\n", "\n", "\n", "Fuzzer 3->Crash Server\n", "\n", "\n", "\n", "\n", "\n", "Fuzzer 4\n", "\n", "Fuzzer 4\n", "\n", "\n", "\n", "Fuzzer 4->Crash Server\n", "\n", "\n", "\n", "\n", "\n", "Fuzzer 5\n", "\n", "Fuzzer 5\n", "\n", "\n", "\n", "Fuzzer 5->Crash Server\n", "\n", "\n", "\n", "\n", "\n", "Fuzzer 6\n", "\n", "Fuzzer 6\n", "\n", "\n", "\n", "Fuzzer 6->Crash Server\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "g = Digraph()\n", "server = 'Crash Server'\n", "g.node('Crash Database', shape='cylinder')\n", "for i in range(1, 7):\n", " g.edge('Fuzzer ' + repr(i), server)\n", "g.edge(server, 'Crash Database')\n", "g" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "The resulting crash database can be _queried_ to find out which failures have occurred – typically, using a Web interface. It can also be _integrated_ with other process activities. Most importantly, entries in the crash database can be linked to the _bug database_, and vice versa, such that bugs (= crashes) can be assigned to individual developers." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "In such an infrastructure, collecting crashes is not limited to fuzzers. Crashes and failures occurring in the wild can also be automatically reported to the crash server. In industry, it is not uncommon to have crash databases collecting thousands of crashes from production runs – especially if the software in question is used by millions of people every day." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "What information is stored in such a database? \n", "\n", "* Most important is the _identifier_ of the product – that is, the product name, version information as well as the platform and the operating system. Without this information, there is no way developers can tell whether the bug is still around in the latest version, or whether it already has been fixed.\n", "\n", "* For debugging, the most helpful information for developers are the _steps to reproduce_ – in a fuzzing scenario, this would be the _input_ to the program in question. (In a production scenario, the user's input is not collected for obvious privacy reasons.) \n", "\n", "* Second most helpful for debugging is a _stack trace_ such that developers can inspect which internal functionality was active in the moment of the failure. A _coverage_ map also comes in handy, since developers can query which functions were executed and which were not.\n", "\n", "* If general failures are collected, developers also need to know what the expected behavior was; for crashes, this is simple, as users do not expect their software to crash.\n", "\n", "All of this information can be collected automatically if the fuzzer (or the program in question) is set up accordingly. " ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "In this chapter, we will explore a platform that automates all these steps. The _FuzzManager_ platform allows to\n", "\n", "1. _collect_ failure data from failing runs,\n", "2. _enter_ this data into a centralized server, and\n", "3. _query_ the server via a Web interface.\n", "\n", "In this chapter, we will show how to conduct basic steps with FuzzManager, including crash submission and triage as well as coverage measurement tasks." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Running a Crash Server\n", "\n", "[FuzzManager](https://github.com/MozillaSecurity/FuzzManager) is a tool chain for managing large-scale fuzzing processes. It is _modular_ in the sense that you can make use of those parts you need; it is _versatile_ in the sense that it does not impose a particular process. It consists of a _server_ whose task is to collect crash data, as well as of various _collector utilities_ that collect crash data to send it to the server." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Setting up the Server\n", "\n", "To run the examples in this notebook, we need to run a _crash server_ – that is, the _FuzzManager_ server. You can either\n", "\n", "1. Run your own server. To do so, you need to follow the installation steps listed under \"Server Setup\" on the [FuzzManager](https://github.com/MozillaSecurity/FuzzManager) page. The `FuzzManager` folder should be created in the same folder as this notebook.\n", "\n", "2. Have the notebook start (and stop) a server. The following commands following commands do this automatically. They are meant for the purposes of this notebook only, though; if you want to experiment with your own server, run it manually, as described above." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "We start with getting the fresh server code from the repository." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "import os\n", "import shutil" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "if os.path.exists('FuzzManager'):\n", " shutil.rmtree('FuzzManager')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cloning into 'FuzzManager'...\r\n", "remote: Enumerating objects: 395, done.\u001b[K\r\n", "remote: Counting objects: 100% (395/395), done.\u001b[K\r\n", "remote: Compressing objects: 100% (252/252), done.\u001b[K\r\n", "remote: Total 9537 (delta 223), reused 282 (delta 135), pack-reused 9142\u001b[K\r\n", "Receiving objects: 100% (9537/9537), 4.70 MiB | 6.97 MiB/s, done.\r\n", "Resolving deltas: 100% (6297/6297), done.\r\n" ] } ], "source": [ "!git clone https://github.com/MozillaSecurity/FuzzManager" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[33mYou are using pip version 19.0.2, however version 19.1.1 is available.\r\n", "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\r\n" ] } ], "source": [ "!pip install -r FuzzManager/server/requirements.txt > /dev/null" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "!cd FuzzManager/server; python ./manage.py migrate > /dev/null" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We create a user named `demo` with a password `demo`, using [this handy trick](https://stackoverflow.com/questions/6244382/how-to-automate-createsuperuser-on-django)." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "!(cd FuzzManager/server; echo \"from django.contrib.auth import get_user_model; User = get_user_model(); User.objects.create_superuser('demo', 'demo@fuzzingbook.org', 'demo')\" | python manage.py shell)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We create a token for this user. This token will later be used by automatic commands for authentication." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "import subprocess\n", "import sys" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "result = subprocess.run(['python', 'FuzzManager/server/manage.py', 'get_auth_token', 'demo'], \n", " stdout=subprocess.PIPE,\n", " stderr=subprocess.PIPE)\n", "err = result.stderr.decode('ascii')\n", "if len(err) > 0:\n", " print(err, file=sys.stderr, end=\"\")" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "'32b747be30a59160c9dd57c338b12c1d63fd2fe5'" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "token = result.stdout\n", "token = token.decode('ascii').strip()\n", "token" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "assert len(token) > 10, \"Invalid token \" + repr(token)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "The token is stored in `~/.fuzzmanagerconf` in our home folder." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "'/Users/zeller/.fuzzmanagerconf'" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "home = os.path.expanduser(\"~\")\n", "conf = os.path.join(home, \".fuzzmanagerconf\")\n", "conf" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "fuzzmanagerconf = \"\"\"\n", "[Main]\n", "sigdir = /home/example/fuzzingbok\n", "serverhost = 127.0.0.1\n", "serverport = 8000\n", "serverproto = http\n", "serverauthtoken = %s\n", "tool = fuzzingbook\n", "\"\"\" % token" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "with open(conf, \"w\") as file:\n", " file.write(fuzzmanagerconf)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from pygments.lexers.configs import IniLexer" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from fuzzingbook_utils import print_file" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[34m[Main]\u001b[39;49;00m\n", "\u001b[36msigdir\u001b[39;49;00m = \u001b[33m/home/example/fuzzingbok\u001b[39;49;00m\n", "\u001b[36mserverhost\u001b[39;49;00m = \u001b[33m127.0.0.1\u001b[39;49;00m\n", "\u001b[36mserverport\u001b[39;49;00m = \u001b[33m8000\u001b[39;49;00m\n", "\u001b[36mserverproto\u001b[39;49;00m = \u001b[33mhttp\u001b[39;49;00m\n", "\u001b[36mserverauthtoken\u001b[39;49;00m = \u001b[33m32b747be30a59160c9dd57c338b12c1d63fd2fe5\u001b[39;49;00m\n", "\u001b[36mtool\u001b[39;49;00m = \u001b[33mfuzzingbook\u001b[39;49;00m\n" ] } ], "source": [ "print_file(conf, lexer=IniLexer())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Starting the Server\n", "\n", "Once the server is set up, we can start it. On the command line, we use\n", "\n", "```sh\n", "$ python FuzzManager/server/manage.py runserver\n", "```\n", "\n", "In our notebook, we can do this programmatically, using the `Process` framework introduced for [fuzzing Web servers](WebFuzzer.ipynb). We let the FuzzManager server run in its own process, which we start in the background." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from multiprocessing import Process" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "import subprocess" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "def run_fuzzmanager():\n", " def run_fuzzmanager_forever():\n", " proc = subprocess.Popen(['python', 'FuzzManager/server/manage.py', 'runserver'],\n", " stdout=subprocess.PIPE,\n", " stdin=subprocess.PIPE,\n", " stderr=subprocess.STDOUT,\n", " universal_newlines=True)\n", " while True:\n", " line = proc.stdout.readline()\n", " print(line, end='')\n", " \n", " fuzzmanager_process = Process(target=run_fuzzmanager_forever)\n", " fuzzmanager_process.start()\n", "\n", " return fuzzmanager_process" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "While the server is running, you will be able to see its output below." ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "fuzzmanager_process = run_fuzzmanager()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "import time" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "time.sleep(2)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Logging In\n", "\n", "_FuzzManager_ can now be reached on the local host using this URL. To log in, use the username `demo` and the password `demo`. In this notebook, we do this programmatically, using the _Selenium_ interface introduced in the [chapter on GUI fuzzing](GUIFuzzer.ipynb)." ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "fuzzmanager_url = \"http://127.0.0.1:8000\"" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from IPython.display import display, Image" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from fuzzingbook_utils import HTML, rich_output" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from GUIFuzzer import start_webdriver # minor dependency" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "For an interactive session, set `headless` to `False`; then you can interact with `FuzzManager` at the same time you are interacting with this notebook." ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "gui_driver = start_webdriver(headless=True, zoom=1.2)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "gui_driver.set_window_size(1400, 600)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "gui_driver.get(fuzzmanager_url)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "This is the starting screen of `FuzzManager`:" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We now log in by sending `demo` both as username and password, and then click on the `Login` button." ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "username = gui_driver.find_element_by_name(\"username\")\n", "username.send_keys(\"demo\")" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "password = gui_driver.find_element_by_name(\"password\")\n", "password.send_keys(\"demo\")" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "login = gui_driver.find_element_by_tag_name(\"button\")\n", "login.click()\n", "time.sleep(1)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "After login, we find an empty database. This is where crashes will appear, once we have collected them." ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Collecting Crashes\n", "\n", "To fill our database, we need some crashes. Let us take a look at `simply-buggy`, an example repository containing trivial C++ programs for illustration purposes." ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cloning into 'simply-buggy'...\r\n", "remote: Enumerating objects: 22, done.\u001b[K\r\n", "remote: Counting objects: 100% (22/22), done.\u001b[K\r\n", "remote: Compressing objects: 100% (16/16), done.\u001b[K\r\n", "remote: Total 22 (delta 9), reused 15 (delta 6), pack-reused 0\u001b[K\r\n", "Unpacking objects: 100% (22/22), done.\r\n" ] } ], "source": [ "!git clone https://github.com/choller/simply-buggy" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "The make command compiles our target program, including our first target, the *simple-crash* example. Alongside the program, there is also a configuration file generated." ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "clang++ -fsanitize=address -g -o maze maze.cpp\r\n", "clang++ -fsanitize=address -g -o out-of-bounds out-of-bounds.cpp\r\n", "clang++ -fsanitize=address -g -o simple-crash simple-crash.cpp\r\n" ] } ], "source": [ "!(cd simply-buggy && make)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Let's take a look at the `simple-crash` source code. As you can see, the source code is fairly simple: A forced crash by writing to a (near)-NULL pointer. This should immediately crash on most machines." ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from fuzzingbook_utils import print_file" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[37m/*\u001b[39;49;00m\n", "\u001b[37m * simple-crash - A simple NULL crash.\u001b[39;49;00m\n", "\u001b[37m *\u001b[39;49;00m\n", "\u001b[37m * WARNING: This program neither makes sense nor should you code like it is\u001b[39;49;00m\n", "\u001b[37m * done in this program. It is purely for demo purposes and uses\u001b[39;49;00m\n", "\u001b[37m * bad and meaningless coding habits on purpose.\u001b[39;49;00m\n", "\u001b[37m */\u001b[39;49;00m\n", "\n", "\u001b[36mint\u001b[39;49;00m \u001b[32mcrash\u001b[39;49;00m() {\n", " \u001b[36mint\u001b[39;49;00m* p = (\u001b[36mint\u001b[39;49;00m*)\u001b[34m0x1\u001b[39;49;00m;\n", " *p = \u001b[34m0xDEADBEEF\u001b[39;49;00m;\n", " \u001b[34mreturn\u001b[39;49;00m *p;\n", "}\n", "\n", "\u001b[36mint\u001b[39;49;00m \u001b[32mmain\u001b[39;49;00m(\u001b[36mint\u001b[39;49;00m argc, \u001b[36mchar\u001b[39;49;00m** argv) {\n", " \u001b[34mreturn\u001b[39;49;00m crash();\n", "}\n" ] } ], "source": [ "print_file(\"simply-buggy/simple-crash.cpp\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "The configuration file generated for the the binary also contains some straightforward information, like the version of the program and other metadata that is required or at least useful later on when submitting crashes." ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[34m[Main]\u001b[39;49;00m\n", "\u001b[36mplatform\u001b[39;49;00m = \u001b[33mx86-64\u001b[39;49;00m\n", "\u001b[36mproduct\u001b[39;49;00m = \u001b[33msimple-crash-simple-crash\u001b[39;49;00m\n", "\u001b[36mproduct_version\u001b[39;49;00m = \u001b[33m83038f74e812529d0fc172a718946fbec385403e\u001b[39;49;00m\n", "\u001b[36mos\u001b[39;49;00m = \u001b[33mlinux\u001b[39;49;00m\n", "\n", "\u001b[34m[Metadata]\u001b[39;49;00m\n", "\u001b[36mpathPrefix\u001b[39;49;00m = \u001b[33m/Users/zeller/Projects/fuzzingbook/notebooks/simply-buggy/\u001b[39;49;00m\n", "\u001b[36mbuildFlags\u001b[39;49;00m = \u001b[33m-fsanitize=address -g\u001b[39;49;00m\n" ] } ], "source": [ "print_file(\"simply-buggy/simple-crash.fuzzmanagerconf\", lexer=IniLexer())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Let us run the program! We immediately get a crash trace as expected:" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AddressSanitizer:DEADLYSIGNAL\r\n", "=================================================================\r\n", "\u001b[1m\u001b[31m==60957==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000001 (pc 0x00010b3e4e78 bp 0x7ffee481b4a0 sp 0x7ffee481b470 T0)\r\n", "\u001b[1m\u001b[0m==60957==The signal is caused by a WRITE memory access.\r\n", "==60957==Hint: address points to the zero page.\r\n", " #0 0x10b3e4e77 in crash() simple-crash.cpp:11\r\n", " #1 0x10b3e4efa in main simple-crash.cpp:16\r\n", " #2 0x7fff65c683d4 in start (libdyld.dylib:x86_64+0x163d4)\r\n", "\r\n", "==60957==Register values:\r\n", "rax = 0x0000000000000001 rbx = 0x0000000000000000 rcx = 0x0000000000000001 rdx = 0x0000100000000000 \r\n", "rdi = 0x0000000000000000 rsi = 0x0000100000000000 rbp = 0x00007ffee481b4a0 rsp = 0x00007ffee481b470 \r\n", " r8 = 0x0000000000000000 r9 = 0x0000000000000000 r10 = 0x0000000000000000 r11 = 0x0000000000000000 \r\n", "r12 = 0x0000000000000000 r13 = 0x0000000000000000 r14 = 0x0000000000000000 r15 = 0x0000000000000000 \r\n", "AddressSanitizer can not provide additional info.\r\n", "SUMMARY: AddressSanitizer: SEGV simple-crash.cpp:11 in crash()\r\n", "==60957==ABORTING\r\n" ] } ], "source": [ "!simply-buggy/simple-crash" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Now, what we would actually like to do is to run this binary from Python instead, detect that it crashed, collect the trace and submit it to the server. Let's start with a simple script that would just run the program we give it and detect the presence of the ASan trace:" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "import subprocess" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "cmd = [\"simply-buggy/simple-crash\"]" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Yay, we crashed!\n" ] } ], "source": [ "result = subprocess.run(cmd, stderr=subprocess.PIPE)\n", "stderr = result.stderr.decode().splitlines()\n", "crashed = False\n", "\n", "for line in stderr:\n", " if \"ERROR: AddressSanitizer\" in line:\n", " crashed = True\n", " break\n", "\n", "if crashed:\n", " print(\"Yay, we crashed!\")\n", "else:\n", " print(\"Move along, nothing to see...\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "With this script, we can now run the binary and indeed detect that it crashed. But how do we send this information to the crash server now? Let's add a few features from the _FuzzManager_ toolbox." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Program Configurations\n", "\n", "A `ProgramConfiguration` is largely a container class storing various properties of the program, e.g. product name, the platform, version and runtime options. By default, it reads the information from the `.fuzzmanagerconf` file created for the program under test." ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from FTB.ProgramConfiguration import ProgramConfiguration" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "('simple-crash-simple-crash', 'x86-64')" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "configuration = ProgramConfiguration.fromBinary('simply-buggy/simple-crash')\n", "(configuration.product, configuration.platform)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Crash Info\n", "\n", "A `CrashInfo` object stores all the necessary data about a crash, including \n", "\n", "* the stdout output of your program\n", "* the stderr output of your program\n", "* crash information as produced by GDB or AddressSanitizer\n", "* a `ProgramConfiguration` instance" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from FTB.Signatures.CrashInfo import CrashInfo" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Let's collect the information for the run of `simply-crash`:" ] }, { "cell_type": "code", "execution_count": 51, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "cmd = [\"simply-buggy/simple-crash\"]\n", "result = subprocess.run(cmd, stderr=subprocess.PIPE, stdout=subprocess.PIPE)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "['AddressSanitizer:DEADLYSIGNAL',\n", " '=================================================================',\n", " '==60963==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000001 (pc 0x00010f4dce78 bp 0x7ffee0723460 sp 0x7ffee0723430 T0)']" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stderr = result.stderr.decode().splitlines()\n", "stderr[0:3]" ] }, { "cell_type": "code", "execution_count": 53, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stdout = result.stdout.decode().splitlines()\n", "stdout" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "This reads and parses our ASan trace into a more generic format, returning us a generic `CrashInfo` object that we can inspect and/or submit to the server:" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Crash trace:\n", "\n", "# 00 crash\n", "# 01 main\n", "# 02 start\n", "\n", "Crash address: 0x1\n", "\n", "Last 5 lines on stderr:\n", " r8 = 0x0000000000000000 r9 = 0x0000000000000000 r10 = 0x0000000000000000 r11 = 0x0000000000000000 \n", "r12 = 0x0000000000000000 r13 = 0x0000000000000000 r14 = 0x0000000000000000 r15 = 0x0000000000000000 \n", "AddressSanitizer can not provide additional info.\n", "SUMMARY: AddressSanitizer: SEGV simple-crash.cpp:11 in crash()\n", "==60963==ABORTING\n" ] } ], "source": [ "crashInfo = CrashInfo.fromRawCrashData(stdout, stderr, configuration)\n", "print(crashInfo)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Collector\n", "\n", "The last step is to send the crash info to our crash manager. A `Collector` is a feature to communicate with a CrashManager server. Collector provides an easy client interface that allows your clients to submit crashes as well as download and match existing signatures to avoid reporting frequent issues repeatedly." ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from Collector.Collector import Collector" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We instantiate the collector instance; this will be our entry point for talking to the server." ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "collector = Collector()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "To submit the crash info, we use the collector's `submit()` method:" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "collector.submit(crashInfo);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Inspecting Crashes\n", "\n", "We now submitted something to our local FuzzManager demo instance. If you run the crash server on your local machine, you can go to http://127.0.0.1:8000/crashmanager/crashes/ you should see the crash info just submitted. You can inquire the product, version, operating system, and further crash details." ] }, { "cell_type": "code", "execution_count": 58, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "gui_driver.refresh()" ] }, { "cell_type": "code", "execution_count": 59, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "If you click on the crash ID, you can further inspect the submitted data." ] }, { "cell_type": "code", "execution_count": 60, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "crash = gui_driver.find_element_by_xpath('//td/a[contains(@href,\"/crashmanager/crashes/\")]')\n", "crash.click()\n", "time.sleep(1)" ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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rq7Vz505t2LBBH374ofXYfAdIx48f19atW7Vz584L+rmJLtcGDhwowzD07LPP1nmZs2fPqlu3bjIMQ6+//nqT74MBUqCQDZDmzJmjDRs26MYWd+jG2yL0i4jW+mXru9U5ZaTa9xmsdr9NVmyvAerQZ5CKnv3/JEl//+Kgvvz3UX393ffqev8E3WHEqcWv26pb2mjdfHtLdUzsow0bNjTLN5UbO0Dq2bOnNZgIdn5qaqq1gsw8ra7BkHmfZWVlTbqcy3V+gDR16lSVlZXJ6/XaVr6aIiIirOFOly5d6hwg+e4Gy1xJGGzXRy7XuZVT/ls0+V+nsrIy4BvKQ4cOtc73eDy24z54vd6AlUl5eXnWeRUVFdbP6buSrbCw0Lp83759bYOs5cuX2/7du3dv67KRkZHW4y4oKLA9Lt/n2Ul8h0GFhYUaOnSoEhIS6vyASUhIqHOAZH44Nea4I16vV4sWLbLeC+Zw1Dx+j7lCs6qqSlVVVdZKPXPlqTlQNQd0AwYMkMt1boBkPufm826+n/r27Wvdv7ly1OPxWLtidLvd1hDJPL+8vFylpaXWe9GJu8MaNGhQSIdIY8eOldfrVWZmZp2X8d/Sy/zsKC0tVXFxsfV4Fi5caA1ZzOfYXPbM/++74rpjx47W67JkyRJrWTOPjbJw4UJ5PB5VVVWppKREJSUlSkxM1MSJE+X1etWtWzfb41y0aJFteFteXq6lS5daQ+Nly5apU6dOatu2rfV4ysvLrfudNm2a9d423wOLFy9WeXm5qqqqNGvWrLC//v4aGiBlZWUFPa++n6WgoEAejyfoFy1iYmJUUlJiWy6Li4sv6vW877775PV6rWFTXctj586d67xv//eo/2tcVlYmj8ejmJiYBj9XnOTBBx+0XrPBgwcHnN+9e/c6X3/DMILeZrABkvlZPHXqVOv5rKysVEVFhTwej5YuXWrt5tZ8DcrLy60vf3g8HmtQYy7vvrd/1113yev1Wr9L/N+Dubm51t895t8S5vvHHCA1tNzWt8xfTp/xAAAACK+LHSA9++yzcrvdOn78eL2X+/TTTwO+4Lxy5Up988031mU+++wzVVZWBuwKb8OGDdZlzCHQRx99ZLuM2bvvvhuwjvDJJ5+0Xff5558PuI9169Zd0M9PdDl1/Phxa/d05iC2rqZNmybDMFRaWtrk+2nuAVLr1q3rXS+YnZ0d9s9WfyEbIM2ePVvvvPOOfvlrQzff0Ua3/Lqdbru7gzoMuF/GvUPVqlN3RXVJUtteQ7T9n/s0smCFjn57XLWSMhculXvtG2qb1F8t7mqv1nFddUtEa3Xq1V/vvPPOZTdACqZ3797Wffp/k7cxlzNXAk+bNs22It//+uYK5rKyMkVFRdU5QEpPT9eUKVNsP785KPJ6verfv3/Q01esWGH7Zn96erq1QjrYG3zu3Lm24UD79u2twZDv4KZdu3bWffge26Ft27bW7fsf98kcLixatEhRUVHWQrhkyZKAQZg5QDIVFBQ4fveFvsMgwzAUFRWlli1bqlOnTkG1bNmyzgHSsGHD5PV6NXbs2EYvGyNGjLCdHhkZaduya+DAgfJ6vXrwwQdt71Hf59V3hZ85QMrLy7OGTomJifJ6vdYurmJiYlRVVaWysjLrPWseLyQ3N1cu17kVnv5bojl5xWIoh0itW7e2VqAvXbo06HFQfFfOt27dWh6PxzZ4NbcK8T22nPkZ57tsmyuefV9P3y3OIiMjVVVVpYULF1qnLV68OGCXZ00ZIJnvD/+fx3ewERERYQ2JoqOjdf/99we8XyMiIhx53LeGBkgzZszQtGnTbMv1hAkTAp4TX8nJydbK+cceeyzo7uU8Hk/QXdhdyOvpP0BqaHkMdt/+AyTzywNDhw4NeIwNfa44yaRJkwKW4VatWmnq1Knq0KGDxo0bV+fr77/VrMl/gBQdHW0NisxhjbmMlJeX254b83e3uSWRy3XumFlVVVXWbZpbDvXr18+6zJQpU2xDMN8BUufOnQOGy127dg0YIDW03LpcdS/zl9tnPAAAAMLnYgdIH3zwgfVl6W3btgW9zOnTp1VZWanKykr9+c9/1hdffKE//vGPcrvd+v3vf29d7sSJE1q9erXWr1+vw4cPa/PmzQEDInMIZA6C9uzZo3/961+Szg2gzMeyY8cOHT58WFu2bNGuXbsCrvvCCy9oz5492rx5szXYqmt3XkRXSqdOnVKHDh1kGIY++uijei87YcIEGYah4uLiJt9Pcw+QXK7z6zqC8V0n7xQhGyA98sgjevvtt3XDbRG67qZf6fpbbteNt0eqXe/BahETr1tat9Wt0TG6vV2cZi6p0pmzZ7X+43/o+A+nJEl3dOmpmyJa68ZbblNM70G69saf6e4u3fT222/rt7/9bch/cPNFmT17tmbOnBnAfLFCMUBq1aqV9U3c+lYE1nc53wFSq1atrJU1vrsccrlc1nBmzJgx9Q6Q6mLe/4QJE6zT6hosmcyBje+Kx/qYK9F8Vx6b9xHseTZXZM+bN886zVyJ6fV61alTJ9vlzWGJ1+u1VpD6DpDqO36Uk/gOgwYMGKC4uDhFR0drxIgRysjIsBkxYoSio6PrHCCZWzb4HhelvmWjvt36RUZGqnv37kpOTra9LmPGjJHX61VJSYlt6y+TuUKxY8eOAe+50tJS221Mnz5dvXr1Uq9evayhqjlwNLcgy83NDbgtp7qQIZLvgMdXRESEZs2aZX0GuN1u29YOvivnza1MfFcgmwNo35X1Xq9Xjz76qO1+zMFPsC1b4uPj1bt3b1VUVNgGtaEYIPnvYtH8A9l8P/Tq1UsLFy6U1+u1lgtzuO0/9HSaxgyQfD97zevU93vD5To3eDV3b2iu3PddNuoaIF3I6+k/QGpoeWzMAKm+3cQ29LniJEOGDLG9BnFxcWrRooV69uyp2bNnW1t2+qusrKzzd7S59U1ZWZk1gPF6vcrKyrI9n15v4BcEzNfGf9lbunSp9Z5r27ZtwO/v8vJy27LpO0AyPz9879/lcmnBggW2AVJDy615P8GW+cvxMx4AAADhcbEDpNraWq1bt876+7Wqqkp//vOfbbf3l7/8RW63W6+++qrtuubgpr77Nrdw+v777yWdHwI9/vjjAZddtWqV3G639u/fH/S2zOu+/PLLttNffvllud1ubd++vdE/N9HlWlpamgzDkMfjqfMyp06dUqdOnWQYhp577rkm38elGCDdeeed1vpuX2PGjGnS7fTv37/O9Uz+/91+MUI2QJo5c6beeustXf+rFrrmxl/o2ptu0Q233C6jT4p+dnukWnXqrptbRevmO9poYsFSVb34hn5X+az2HPy3zpw9qwemz9V1N92ia376c3V/IEs/+sm1imzTTm+99Za1q5VQamjlrbl7uFAMkMxvV69YsaLeffjXdznfAZLLdX4Fi++wwPxmsMfjUURERKMHSFFRUeratat69uxpDYN8tyaqb7jjcp07joG5gq++57xDhw7WsXX8b89c8ebxeAKOu2IeJN53Jap5LKiKigolJSXZmK+Z13t+aybfAZL5jWin8x0GTZkyRb169VJsbKzy8vKCio2NrXOAZD7nDz30UKOWDd9hnWnEiBG23RCaKzJ9d4s3ffp0a7BRXl5uG1KYKzn9b3fFihXWUG/GjBl1LpPmN9KjoqL06KOPWqcXFxcHHIvJiZoyRGroWEjm85CVlWXtkso8Tk6wlfOVlZUaM2aMhg8fHnSXVV6vV3PmzLGdNmrUKHm9XmulfWJiovX54Pv6h3KA5L/7TJer/uNImct3enq6Nfx2u90h/SUZSs01QDK1b9/e2r2Y7xYiwYY4F/p6+g+QGloeGzNAqqqqqvPYbS5X/Z8rTmL+DjZ5PB7l5OSoa9euio2N1ZIlSzRp0iSNGjVKjzzyiPWere/LF+YAadGiRSooKNDMmTOVkJAQ8Hx6vd6AvxvMXQH63+acOXPk9XrVuXNnuVznvqRh/u41d33ru8s633+bWzD6/11mfnabA6TGLLd1LfOX62c8AAAALr2LHSCZffXVV3rhhResQdLjjz9uDX3MXcatWrVKf/jDHyzm7uoOHTpk3c6RI0e0fv16vfTSS3ruuees/0Y1tw4yh0BvvvlmwGOoqqqqd6W4ed0dO3bYTt+2bZvcbrc2btx4Uc8B0eVQRUWFDMNQt27d9Pe//z3g/NraWs2fP1+GYahz5846duxYk+/jUgyQXK7gx0huzBf//QUbIoV6vVjIBkg5OTlat26drvvl7frfG36ma278ha676Ra1jOmsG37l0r2Tc/UzVyv9zNVKy9b+WU++tl7JEx/Ri+9+oPScPK15+31d87Ob9ONrr9cNv3Lpuptv1c233q5169bpN7/5TchfJN9B0fTp0wOYuwG62AGS79YwdW1R0JjL+Q+QzK0/qqqqrGMPmSuF8vPz5XK56h0gDRw40FppFGwFT7ABUl0/o7l1i7kViSk6Olo5OTlasWJF0JVJvs9py5YtrctMmTLFOj0pKck63Xd3XcEWsmDMBcZ3gOT0Xdf5vifqW6nalOvEx8dbK+Ias2z4H3PFPHbHihUrlJycbBtQ+h9XqVWrVpo0aZK1ctRclvxXGpt8B0jmrpMefPBBtW3b1sb/GFvt27fX7NmzrT+ynLjLMn+NGSI1Znjky1w+zeXD/3k2dxNoLnMFBQUBW3IEe839B0jmt7GGDx9u7U7KfwVwfQMk393juVznVm77D5CCHY/M4/GooqIi4P3Qtm3bgMump6dbW1dMnz497K+3v+YeIJnMLyOYxw0LNsS50NfTf4Bkqmt5bMwAyTzeWX0/U12fK07SokUL27H8fE2dOlXt27e3XT4yMlJlZWVBj5fk+zr5HwPJX12freYQxv+z0/z92aZNG7lcLg0fPtz6DJk9e7a8XvuWor6fD+bxiVJTU223aX6pwxwgNWa5rWuZb+g9BQAAAJhCNUAyO3nypNasWSO326233npL0vktg7xerx5//PEA5gDJ3BLI7Xb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"text/plain": [ "" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Since `Collector`s can be called from any program (provided they are configured to talk to the correct server), you can now collect crashes from anywhere – fuzzers on remote machines, crashes occurring during beta testing, or even crashes during production." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Crash Buckets\n", "\n", "One challenge with collecting crashes is that the _same crashes occur multiple times._ If a product is in the hands of millions of users, chances are that thousands of them will encounter the same bug, and thus the same crash. Therefore, the database will have thousands of entries that are all caused by the same one bug. Therefore, it is necessary to identify those failures that are _similar_ and to group them together in a set called a _crash bucket_ or _bucket_ for short." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "In _FuzzManager_, a bucket is defined through a _crash signature_, a list of predicates matching a set of bugs. Such a predicate can refer to a number of features, the most important being\n", "\n", "* the current _program counter_, reporting the instruction excuted at the moment of the crash;\n", "* elements from the _stack trace_, showing which functions were active at the moment of the crash.\n", "\n", "We can create such a signature right away when viewing a single crash:" ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Clicking the red `Create` button creates a bucket for this crash. A _crash signature_ will be proposed to you for matching this and future crashes of the same type:" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "create = gui_driver.find_element_by_xpath('//a[contains(@href,\"/signatures/new/\")]')\n", "create.click()\n", "time.sleep(1)" ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "gui_driver.set_window_size(1400, 1200)" ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/png": 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wFwLSv//970gpRalUiu+++27WxgEAAAAAAEUkIOUTkDLMhYAUEXH16tVYtGhRpJTijz/+mNWxAAAAAABAkQhI+QSkDHMlIEVE7Nu3L1JKcezYsdkeCgAAAAAAFIaAlE9AyjCXAtJXX30VKaX4+eefZ3soAAAAAABQGAJSPgEpw1wMSEePHp3toQAAAAAAQGEISPkEpAxzKSAdO3YsUkrxxhtvzPZQAAAAAACgMASkfAJShrkUkMbHx6O5uTlSSlFfXx/Xrl2b7SEBAAAAAMC8JyDlE5AyzKWAFBFx//796O7ujjfffDOuX78+28MBAAAAAIB5T0DKJyBlmGsBCQAAAAAAmFkCUj4BKYOABAAAAAAAxSYg5ROQMghIAAAAAABQbAJSPgEpg4AEAAAAAADFJiDlE5AyCEgAAAAAAFBsAlI+ASmDgAQAAAAAAMUmIOUTkDIISAAAAAAAUGwCUj4BKYOABAAAAAAAxSYg5ROQMsyngNTb2xtXrlyJiIgzZ85Ef3//LI+o1ujoaPT09MTQ0FDcu3cvenp64saNG9M+/8aNG9HT0xNjY2MxNDQUPT09MTo6+gxHPH2ffvpppJTi8uXLT3Te+fPno6en54nO2b9/f6SUHnve4OBgpJRi165dT3T9Z6m/vz9+/fXXiIi4fPly9Pb2zvKIAAAAAAAEpMcRkDLMp4CUUooVK1ZERESpVIrW1tbqvps3b8apU6dma2gREXHixIlIKcXHH38cPT09kVKK7du3T/v8Dz74IFJK0dvbGzt37oyU0qw/U8Xu3bsjpRTnz5+f9jn379+Purq6SCnF0NDQtM/717/+FSml+OWXX3KPGxgYiJRS7Ny5c9rXftZaWlqiVCpFRMTy5cur/xsAAAAAYDYJSPkEpAzzKSDV1dXF2rVrIyKivr4+Vq9eXd334YcfxtKlS2draBER0dfXFyml6OjoiN9++y1SSrFv375pn793795IKcXg4GB88cUXTzXj51l5moDU1dUVKaUnjjzzOSCtWrUqGhoaIiJizZo1sWDBglkeEQAAAACAgPQ4AlKG+RSQmpqaYvPmzRER0dzcHJs2bYqIiKGhoVi4cGEsXLgwTp8+HadPn46BgYE4ffp0DA8PT7rOzZs34/Tp03Hnzp0YHBysLot36dKl6OzsjFOnTsXY2FjmGMbHx6Onpye++eabOHv2bM17u3XrVqSU4siRIzE6OhoppTh06FD1vP3790dfX9+Uz9fZ2RkppRgbG4vDhw9HSilGRkZqjhkZGYkTJ07EgQMHoru7O/7444+IiLhz50516bSxsbH4/vvvo6urq3regwcP4syZM3Ho0KH46aefYmJiInMMV65cic7Ozjh//nzNsz0ckO7evRtHjx6NEydOTPksEX/OwGloaIiWlpZqVMly/fr1OHz4cPz4449x9+7dKQPSyMhIdHd3R1dXV/z++++ZAWlwcLAa3W7evBkHDx6MkydP1lynr68vOjs74+TJk1P+nad6D4/bv2HDhli0aFFERLz55puxcOHC3HcEAAAAAPA8CEj5BKQM8ykgLVu2LHbs2BERfy4Vtm3bthgaGqrOcnn49//+3/+LlFKsX79+0nVeffXVSCnF1atXo62tLZqbm2PVqlU15zc0NMS5c+dqzjtz5kw0NDTUHNfS0hK3bv3593jw4EHNsnMppTh+/HhERHz33XeRUsqdJdXd3V1d8uzkyZORUqrZ/+9//ztKpVLN/ZcvXx4R/wk8x44dqx5TV1cXERG//vprLFiwoOa8urq6OHDgQPXaP//8c9TX19ccUyqV4scff6y5/ptvvllzzIIFC2LPnj2TnuX333+PlFK89dZb8fnnn0dKKf7v//5v0nGVpfoevucrr7wyKSAdPXo0yuVyzbFvvPHGpIDU1tYWL7/8cuzatat6XGWm2vDwcLS2tk76O585c2ba7+Fx+9vb26tLK27fvj1aWlqm/HsDAAAAADwvAlI+ASnDfApIx44di/7+/oiIOH78ePT19cWDBw9ieHg4GhsbY/HixTE8PBzDw8Nx//79WLZsWZRKpbh37171GmNjY1EqlWLZsmUR8WdwqISEPXv21Cwf19zcXD1vfHw86uvro66uLvbt2xeXLl2KLVu2TIpUnZ2d1VlDBw8ejDt37kRExMWLF6NcLsdbb7015fPdvn07Dh48GBERd+/ejc7Ozuq+X3/9NVJK0dTUFN3d3TE4OBjff/99dXZNJfCUSqV4880349y5c9XZTqOjo7Fu3bro6OiIwcHBOHz4cJTL5WpgivhzScD6+vrqrK2jR4/Gtm3bqjN0Hr7+O++8E+fOnYvDhw9Xg9qj3zjatm1bpJTiwoULMTIyEqVSKf7rv/5r0t+zEtUuXboUQ0NDNeGnEpDu3r0bpVIp6urq4tixY3H37t3o6uqqBqVHA1JlnHv37o2+vr4YGBiIiKhGwvb29ujv74+9e/dGqVSKxsbGuH///rTew+P2X7x4sRoNL126lBnNAAAAAACeNwEpn4CUYT4FpDxNTU2TZvd89dVX1W8SVRw4cCBSSvGvf/0rIv4THCqzhioq2yvLtFWWVfv4449rjqsElGf9/iqzcioB7VGVwPPSSy9N63qVWViV2FUul2PJkiVTLulWuf6HH35Ys3379u2RUoqff/65uu3BgwdRX19fXcrt4fHfvXu3uq3yjh9dqm758uU12/fs2ZP5raOPPvpoyoC0devWmmOvXr0aKaVYsWJFzfZ169bV/J0f9x4etx8AAAAAYC4SkPIJSBmKHJDGx8ejXC7XRJXly5dHqVSK0dHRiPhPcHj0+SvRohKa3nrrrUgpxSuvvBIbN26s/irLmVVmuTwrzc3N0djYOOX+SuD59NNPM/dfu3Ytvvzyy2hvb49NmzbF4sWLa2YOffDBB9Ul6bZv3x43b97MvH53d3fN9h9++CFSStWZUxF/LjeXUopXX301jh49GkePHq3O1np4ubuFCxdGqVSqzv6pqESpSkDatGlTZuSrLPOXFZAe/dZU5ZtSy5Ytq/n7LV26tObv/Lj38Lj9AAAAAABzkYCUT0DKUOSAFPGf8NPf3x/Dw8ORUorXXnutur+tra363aGH/fzzz5FSil27dkVExOrVqyOlFIsXL46lS5dO+j3rgLRgwYKaGT2PqgSeR7/bFBHx4YcfVpd1W7ZsWaxevTqampomLT139OjRaGlpqS4h995771X/XUx1/R9//HFSQKpEnKzfw8sC1tXVxZIlSyaNd9++fTUBqfLux8fHa47r7+/PDEjlcnnKazY0NGT+/Q4dOjSt9zCd/QAAAAAAc42AlE9AylD0gFSJDO3t7dVZRQ9/l6YSOx5dkqwyC+arr76KiIi33347Ukrx/fffP9sHmcKiRYsipVTzPaeHVQLP+fPna7b39fVFSikaGxtrnnHt2rWZ3y6KiDh79mw1kFSed6rrPxqQhoaGIqUUbW1tcfr06Zrf+vXrI6UUp0+fjoipZ1Xt2LGjJiBVIuCjYz116tS0A9L3338fKaV4++23M99flqz38CT7AQAAAADmCgEpn4CUoSgBaenSpVFfX5+57+WXX47GxsZ4+eWXo6GhoWZfJSB1dnbWbK+EgUow6ezsjJRSrF279qnHODg4OGm5tumqxJfvvvsuc/9Ugee7776LlFJs3769um1sbCxKpdKUAaky1pRSvPnmm7nXfzQgVb5L9HCkq6jErNdffz0iItasWRMppbh48WLNcZV3XwlIle9PPbo8X2U5uekEpOvXr1dnID2JR9/Dk+5/2MDAwKRnBQAAAAB4HgSkfAJShqIEpMoybR988EGcPHmyZkm5AwcOVJcb27ZtW815lYBULpfj008/jZ9//rn6zZ3ly5dXj3vw4EH1u0EbNmyIrq6u2Lt3b7z22muxbt26x46v8r2elStXPtXzXblypTrOPXv2xMGDB2PLli3x0UcfRcTUgWdsbCzK5XI0NDREZ2dn7Nmzp/ocDweklpaW+Mc//hHHjh2Lw4cPx6pVqyKlFB0dHbnXfzQgNTQ05EaapUuXRqlUinv37sXZs2erUaezszM+//zzWLZsWXVslYA0NjYWCxYsiFKpFLt3746DBw9WxzfdgBTxn1lkra2tceDAgdi/f39s2rQplixZEhMTE9N6D4/bn6ehoSF3FhkAAAAAwLMiIOUTkDIUJSD99ttv0draWo0Kn3zySXXf+Ph4lMvlSCnF4OBgzXltbW1RX18fW7durc7KqYSe27dv1xx7+/bt6qyZh3/TmX1y/PjxSVHqSZ04caL67aLKN422bNkSEVMHnoiIL774IhobG6vntbS0xMGDByOlFMPDwxERNe+u8q2ih2Pb4wJSV1dXNZLt2LFjymeozCbav39/RER0dXVFXV1d9b6NjY2xf//+SClFT09P9byLFy9Gc3Nz9bhyuRydnZ1RKpWqES0iPyBNTEzEjh07av7OKaVYunRp9d//497D4/ZPZXR09C///QEAAAAAnpaAlE9AylCUgFRx8+bN+O2332qep7JkW0tLy6TjHw4OExMTcfXq1UnfQ3pU5biBgYEYHx+f9tj6+vpmZPbJyMhIzQyr6RoYGIjR0dEp94+OjsbFixfjzp07f2V4T2VwcLAas/Lcvn37qZ79UdeuXYsrV65kvo/HvYeneU/d3d2RUooDBw489ZgBAAAAAJ6WgJRPQMpQtICUZfv27ZnfOYrIn7ECM2Xbtm1RV1f3RMERAAAAAGCmFMIJeAAAIABJREFUCEj5BKQMRQ1IN27ciC+//DI2b95cXWos6xkFJJ6H33//fUZmTgEAAAAAPA0BKZ+AlKGoAemXX36pfitn7dq1U/6f9wISAAAAAABFJyDlE5AyFDUgRfz5viYmJnKPGR8fn5HvEgEAAAAAwFwlIOUTkDIUOSABAAAAAAAC0uMISBkEJAAAAAAAKDYBKZ+AlEFAAgAAAACAYhOQ8glIGQQkAAAAAAAoNgEpn4CUQUACAAAAAIBiE5DyCUgZBCQAAAAAACg2ASmfgJRhPgWk3t7euHLlSkREnDlzJvr7+2fkuuvXr49yufzY4/bv3x8ppejp6ZmR+86Ev/JObty4ET09PTE2NhZDQ0PR09MTo6OjMzKu4eHh+Pbbb6OrqyuGh4f/8vX6+vqqz/m095uYmIhff/019u/fH729vTExMVGz/1m+DwAAAACA2SQg5ROQMsyngJRSihUrVkRERKlUitbW1hm57quvvhqlUumxx/3rX/+KlFL88ssvM3LfmfBX3skHH3wQKaXo7e2NnTt3RkopTp069ZfHVHlPD/8+//zzp7rWxMREvP3225FSipaWlqe+3/DwcCxatKjmmObm5rh582b1mGf1PgAAAAAAZpuAlE9AyjCfAlJdXV2sXbs2IiLq6+tj9erVM3Ld+RyQ/so72bt3b6SUYnBwML744otIKcXly5cfe97p06fj3r17mft+/fXXSCnFkiVL4ty5c3Hx4sVobW2NlFKcPHly2mOL+HNG0LJly6rBJysgTfd+K1eujJRSfPrpp3Ht2rX497//HSmlmuD2tO8DAAAAAGCuE5DyCUgZ5lNAampqis2bN0dERHNzc2zatKlm/+joaJw8eTK++eab6O3tnfI6ly5dis7Ozvjll19ifHx8yoB0/fr1OHz4cPz4449x9+7dzIB04cKFGBoaioiI/v7+OHDgQM0ycuPj49HT0xPffPNNnD17NvM9P3jwIHp6euLQoUMxODj4RPvz3snRo0eju7t7yvfQ2dkZKaUYGxuLw4cPR0opRkZGpjy+p6cnVqxYESmluHHjRuYxGzdurEaYipGRkUgpxZo1ayLiz+Xozpw5M+ncq1evxunTp2NsbCwiIlatWhWlUimOHDkSzc3NmQFpOvcbGhqKlFKsW7eu5tx33303Ukpx9erVp3ofAAAAAADzhYCUT0DKMJ8C0rJly2LHjh0REdHS0hLbtm2r7uvo6IhSqVSzRFljY2OcP3++eszo6GisWrWq5piGhoZ4+eWXJwWkyhJmlV+pVIpXXnllUkAql8uxdevWaGtrqx772WefRcSf3yRqaGiouU5LS0vcuvWfv9+uXbsmjbuuri5u3749rf1TvZPR0dHq8ZUg86ju7u7qc588eTJSSpnH9fT0xPLly6vLvn3zzTdT/ntpamqK5ubmSdtbW1ujrq4uIiLeeeedSClFR0dHdf/AwECUSqVobm6O8fHxiIi4du1aXLp0qXrdrIA0nfsdPHgwUkrR1dVVc8ypU6cipRR79+59ovcBAAAAADDfCEj5BKQM8ykgHTt2rDq75/jx49HX11fd19PTExs3boxvv/02fv/999i9e3eklGLVqlXVY95///1IKcXGjRvjxo0bcfXq1Vi9enU1ED18n5RSLF26NC5duhRDQ0Oxa9euapB5NCCVSqWor6+Pb7/9Nvr6+uL27dsxPj4e9fX1UVdXF/v27YtLly7Fli1bIqUU69evj4iIy5cvV79h1N/fH4ODg/H111/Hnj17prU/7508ePAgmpqaYtGiRVO+z9u3b8fBgwcjIuLu3bvR2dlZs//hcPTSSy/F999//9i/UV1dXaxcuXLS9tdffz1SSjExMRHj4+PR3NwcpVIpBgYG4sGDB7Fs2bIolUrVYPSoqQLSdO63Z8+eSCnFuXPnao6pzEx67733pvU+AAAAAADmKwEpn4CUYT4FpCdVX18fCxcurP53JfZMTExUt42NjVW3V1RmEz36raNKTHk0IKWUJi0VV1nu7uOPP67ZXpmR9ODBgzh//nw1aGV53P5nqfKsy5cvjxMnTkz7vJRSvPrqq5O2V5aLqyz3d+nSpSiVSvHyyy/H//7v/0ZKKfbt2zfldacKSNO5X3t7e6SUYmBgoOaY+/fvR0opXn/99Wk/HwAAAADAfCQg5ROQMhQpIJ07dy727dsX7777bmzcuDEWLFgQDQ0NEfHnjJKUUrS2tk46r6WlpSYgLVy4MEqlUty/f7/muO3bt2cGpLq6uknv76233oqUUrzyyiuxcePG6q++vr4mZrS0tFSXhuvo6Ji03Nzj9j8rixcvjpRSLFmyJPbv319dVu5xHv720MM2b94cKaW4efNmddu+ffuqs7qyZhE9LC8gPe5+H374YWZAGh8fj5RSvPHGG9N6NgAAAACA+UpAyicgZShCQBofH4+VK1dGSikWLFgQra2t8V//9V9RLperAam/vz9SSvHuu+9OOn/16tU1Aamuri6WLFky6bhK8Hg0ILW1tWVeM6UUixcvjqVLl076VWLG2NhYfPLJJ9WZSeVyuWbptMftf5ZOnjxZnY1VLpdjy5YtMTg4mHvOggULYsWKFZO2r1+/ftI3hYaHh6sBqbJ03FSmCkjTud8///nPSClFb29vzTHXr1+PlFK8//77ufcGAAAAAJjvBKR8AlKGIgSkTz/9NFJKsW7duprtDQ0N1YA0Ojo65XJlra2tNQGpubk5GhsbJx23Y8eOaQekt99+O1JK0/puUMWRI0eqM5Tu3LnzxPuflYGBgdi8eXOUSqXqbKHR0dHMY5csWVJ95w9bvHhxLFiwoGZbJfpVvhV169bU/66nCkjTud8PP/wQKaXo6OioOebo0aOPXToPAAAAAKAIBKR8AlKGIgSkynJlp06dqm47ceJEpJRq4kJ9fX0sWLCgZmm6kZGRKJVKNQFpzZo1kVKKixcv1tynspzcdAJSZ2dnpJRi7dq1T/QslW8nHTp06Kn2P+zWrVtx9+7dJ7p/nj/++CN2794dDQ0N1W8ZPerjjz+OlFL09PRUt125cmXSUnGV2Vzbt2+P06dPP3YZu6kC0nTuNz4+HuVyOZYvX15z7quvvhoppbh+/fr0XgAAAAAAwDwlIOUTkDIUISD98ssvkVKK5cuXx5EjR6K9vb06U+fhgLR79+7qcYcPH47t27dXl4Z7OCCdPXu2em5nZ2d8/vnnsWzZsupya9MJSA8ePKh+R2jDhg3R1dUVe/fujddee606U+rMmTOxcuXK+PLLL+PEiROxf//+aG5ujlKpFAMDA4/dn2d8fDxKpVKUy+VJ33J6loaHh6NcLseCBQvin//8Z3R0dFTf8a+//hoREX19fVEqlWLp0qUxMTEREVH9TtFUs4GmCkjTuV9ERHt7e3WWWldXV/ztb3+LlFKsWrXqGbwFAAAAAIC5RUDKJyBlKEJAioj429/+FuVyuRp5Nm7cGFu3bq0JSA8ePIj333+/uhRbJSa1t7fXBKSIiK6urqirq6se19jYGPv3758022WqgBQRcfv27epspod/b775ZkREXL58OZqbm2v2tbS0RFdX17T256kEpFKpFOPj40/4Nv+ac+fORVNTU3XM9fX18eOPP1b3VyLY1atXq9smJiZiyZIlk7ZXTBWQpnO/ioeX4UspxerVq2NsbGwGnhgAAAAAYG4TkPIJSBmKEpAi/owQly9ffuyMm8px9+7de+w1BwcHY3h4+C+P6+rVqzEwMJAZc27evBkXLlyYMvQ8bv9UBgcHp1xq7nkYHh6OGzduzKn7Vf72zzuqAQAAAADMJgEpn4CUoUgBCQAAAAAAmExAyicgZRCQAAAAAACg2ASkfAJSBgEJAAAAAACKTUDKJyBlEJAAAAAAAKDYBKR8AlIGAQkAAAAAAIpNQMonIGUQkAAAAAAAoNgEpHwCUgYBCQAAAAAAik1AyicgZRCQAAAAAACg2ASkfAJSBgEJAAAAAACKTUDKJyBlEJAAAAAAAKDYBKR8AlKGuRCQRkZGYmRkZNbuDwAAAAAARSYg5ROQMsyFgPTDDz9ESilaWlrip59+mrVxAAAAAABAEQlI+QSkDHMhII2MjMS+ffuiXC5HqVSK8fHxWRsLAAAAAAAUjYCUT0DKMBcCUsU777wTKaU4f/78bA8FAAAAAAAKQ0DKJyBlmEsBac+ePZFSit7e3tkeCgAAAAAAFIaAlE9AyiAgAQAAAABAsQlI+QSkDHMpIHV1dUVKKT777LPZHgoAAAAAABSGgJRPQMowlwLSvXv3oqmpKcrlcqxZsyYGBwdne0gAAAAAADDvCUj5BKQMcykgRUR89NFHkVKKlFKcOnVqtocDAAAAAADznoCUT0DKMJcC0oULFyKlFG1tbXH9+vXZHg4AAAAAABSCgJRPQMowlwLSZ599FimlOHbs2GwPBQAAAAAACkNAyicgZZhLAWnPnj2RUore3t7ZHgoAAAAAABSGgJRPQMowlwLS3//+dwEJAAAAAABmmICUT0DKMJcCUktLS6SUfP8IAAAAAABmkICUT0DKMBcC0unTp6Ouri5SSrFhw4ZZGwcAAAAAABSRgJRPQMowFwLShQsXYsuWLfHLL7/M2hgAAAAAAKCoBKR8AlKGuRCQAAAAAACAZ0dAyicgZRCQAAAAAACg2ASkfAJSBgEJAAAAAACKTUDKJyBlEJAAAAAAAKDYBKR8AlIGAQkAAAAAAIpNQMonIGUQkAAAAAAAoNgEpHwCUgYBCQAAAAAAik1AyicgZRCQAAAAAACg2ASkfAJShmcdkO7duxc9PT3V35UrV57JfQAAAAAAgGwCUj4BKcOzDki9vb2RUqr+Fi9e/EzuAwAAAAAAZBOQ8glIGZ51QBobG4tz587FuXPnoqGhQUACAAAAAIDnTEDKJyBleJ7fQGpqahKQAAAAAADgOROQ8glIGQQkAAAAAAAoNgEpn4CUQUACAAAAAIBiE5DyCUgZBCQAAAAAACg2ASmfgJRBQAIAAAAAgGITkPIJSBkEJAAAAAAAKDYBKZ+AlEFAAgAAAACAYhOQ8glIGQQkAAAAAAAoNgEpn4CUQUACAAAAAIBiE5DyCUgZBCQAAAAAACg2ASmfgJRBQAIAAAAAgGITkPIJSBmedUC6fPlytLa2Rmtra5RKJQEJAAAAAACeMwEpn4CU4VkHpKtXr0ZbW1v1t2XLlmdyHwAAAAAAIJuAlE9AyvA8l7ADAAAAAACePwEpn4CUQUACAAAAAIBiE5DyCUgZBCQAAAAAACg2ASmfgJRBQAIAAAAAgGITkPIJSBkEJAAAAAAAKDYBKZ+AlEFAAgAAAACAYhOQ8glIGQQkAAAAAAAoNgEpn4CUQUACAAAAAIBiE5DyCUgZ/mpA+v3332dsLAAAAAAAwMwTkPIJSBn+akBasmRJLFiwIDZt2hTj4+MzNi4AAAAAAGBmCEj5BKQMfzUgnTp1KlavXh0ppdi5c+eMjQsAAAAAAJgZAlI+ASnDTHwDaWRkJFJK0dbWNmPjAgAAAAAAZoaAlE9AyjATASkioq6uLlasWDFDowIAAAAAAGaKgJRPQMogIAEAAAAAQLEJSPkEpAwzFZCam5tjwYIFMTExMUMjAwAAAAAAZoKAlE9AyjBTAemf//xnpJRiyZIlsW/fvhkaHQAAAAAA8FcJSPkEpAwzFZD6+/tj0aJFkVKK1tbWGRodAAAAAADwVwlI+QSkDDMVkNra2iKlFD/99FPcv39/hkYHAAAAAAD8VQJSPgEpw0wFpLq6uli2bNkMjQoAAAAAAJgpAlI+ASnDTAakFStWzNCoAAAAAACAmSIg5ROQMsxUQCqXywISAAAAAADMQQJSPgEpw0wEpBMnTkRKKf77v/97xsYFAAAAAADMDAEpn4CU4a8GpLVr10ZKKVJKMTg4OGPjAgAAAAAAZoaAlE9AyvBXA9L27dujo6Mjbt2auTEBAAAAAAAzR0DKJyBlmKlvIAEAAAAAAHOTgJRPQMogIAEAAAAAQLEJSPkEpAwCEgAAAAAAFJuAlE9AyiAgAQAAAABAsQlI+QSkDAISAAAAAAAUm4CUT0DKICABAAAAAECxCUj5BKQMAhIAAAAAABSbgJRPQMogIAEAAAAAQLEJSPkEpAwCEgAAAAAAFJuAlE9AyiAgAQAAAABAsQlI+QSkDAISAAAAAAAUm4CUT0DKICABAAAAAECxCUj5BKQMAhIAAAAAABSbgJRPQMogIAEAAAAAQLEJSPkEpAwCEgAAAAAAFJuAlE9AyiAgAQAAAABAsQlI+QSkDAISAAAAAAAUm4CUT0DKICABAAAAAECxCUj5BKQMAhIAAAAAABSbgJRPQMogIAEAAAAAQLEJSPkEpAwCEgAAAAAAFJuAlE9AyiAgAQAAAABAsQlI+QSkDAISAAAAAAAUm4CUT0DKICABAAAAAECxCUj5BKQMAhIAAAAAABSbgJRPQMogIAEAAAAAQLEJSPkEpAwCEgAAAAAAFJuAlE9AyiAgAQAAAABAsQlI+QSkDAISAAAAAAAUm4CUT0DKICABAAAAAECxCUj5BKQMAhIAAAAAABSbgJRPQMogIAEAAAAAQLEJSPkEpAwCEgAAAAAAFJuAlE9AyiAgAQAAAABAsQlI+QSkDAISAAAAAAAUm4CUT0DKICABAAAAAECxCUj5BKQMAhIAAAAAABSbgJRPQMogIAEAAAAAQLEJSPkEpAwCEgAAAAAAFJuAlE9AyiAgAQAAAABAsQlI+QSkDAISAAAAAAAUm4CUT0DKICABAAAAAECxCUj5BKQMAhIAAAAAABSbgJRPQMogIAEAAAAAQLEJSPkEpAwCEgAAAAAAFJuAlE9AyiAgAQAAAABAsQlI+QSkDAISAAAAAAAUm4CUT0DKICABAAAAAECxCUj5BKQMAhIAAAAAABSbgJRPQMogIAEAAAAAQLEJSPkEpAwCEgAAAAAAFJuAlE9AyiAgAQAAAABAsQlI+QSkDAISAAAAAAAUm4CUT0DKICABAAAAAECxCUj5BKQMAhIAAAAAABSbgJRPQMogIAEAAAAAQLEJSPkEpAwCEgAAAAAAFJuAlE9AyiAgAfx/9u7+xYr7bvz/H3VgYUEIiCAiIhJEUUKCS0lE/UoQq0V6Y71actPU5kqacMUmSk1MYqxaxNooQazxo62pRk2yu3GLdq2uZl1XXXe92V1f3x9kJufsvnc8GjcdJ48HDDRzZufmzPv4wzw7MwAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAAAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGoTkIoJSAkCEgAAAAAAVJuAVExAShCQAAAAAACg2gSkYgJSgoAEAAAAAADVJiAVE5ASBCQAAAAAAKg2AamYgJQgIAEAAAAAQLUJSMUEpAQBCQAAAAAAqk1AKiYgJQhIAAAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAAAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGoTkIoJSAkCEgAAAAAAVJuAVExAShCQAAAAAACg2gSkYgJSgoAEAAAAAADVJiAVE5ASBCQAAAAAAKg2AamYgJQgIAEAAAAAQLUJSMUEpAQBCQAAAAAAqk1AKiYgJQhIAAAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAAAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGoTkIoJSAkCEgAAAAAAVJuAVExAShCQAAAAAACg2gSkYgJSgoAEAAAAAADVJiAVE5ASBCQAAAAAAKg2AamYgJQgIAEAAAAAQLUJSMUEpAQBCQAAAAAAqk1AKiYgJQhIAAAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAAAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGoTkIoJSAkCEgAAAAAAVJuAVExAShCQAAAAAACg2gSkYgJSgoAEAAAAAADVJiAVE5ASBCQAAAAAAKg2AamYgJQgIAEAAAAAQLUJSMUEpAQBCQAAAAAAqk1AKiYgJQhIAAAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAAAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGoTkIoJSAkCEgAAAAAAVJuAVExAShCQAAAAAACg2gSkYgJSgoAEAAAAAADVJiAVE5ASBCQAAAAAAKg2AamYgJQgIAEAAAAAQLUJSMUEpAQBCQAAAAAAqk1AKiYgJQhIAAAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAAAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGoTkIoJSAkCEgAAAAAAVJuAVExAShCQAAAAAACg2gSkYgJSgoAEAAAAAADVJiAVE5ASBCQAAAAAAKg2AamYgJQgIAEAAAAAQLUJSMUEpAQBCQAAAAAAqk1AKiYgJQhIAAAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAAAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGoTkIoJSAkCEgAAAAAAVJuAVExAShCQAAAAAACg2gSkYgJSgoAEAAAAAADVJiAVE5ASBCQAAAAAAKg2AamYgJQgIAEAAAAAQLUJSMUEpAQBCQAAAAAAqk1AKiYgJQhIAAAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAAAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGoTkIoJSAkCEgAAAAAAVJuAVExAShCQAAAAAACg2gSkYgJSgoAEAAAAAADVJiAVE5ASBCQAAAAAAKg2AamYgJQgIAEAAAAAQLUJSMUEpAQBCQAAAAAAqk1AKiYgJQhIAAAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAD51YcaAAAgAElEQVQAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGoTkIoJSAkCEgAAAAAAVJuAVExAShCQAAAAAACg2gSkYgJSgoAEAAAAAADVJiAVE5ASBCQAAAAAAKg2AamYgJQgIAEAAAAAQLUJSMUEpAQBCQAAAAAAqk1AKiYgJQhIAAAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAAAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGoTkIoJSAkCEgAAAAAAVJuAVExAShCQAAAAAACg2gSkYgJSgoAEAAAAAADVJiAVE5ASBCQAAAAAAKg2AamYgJQgIAEAAAAAQLUJSMUEpAQBCQAAAAAAqk1AKiYgJQhIAAAAAABQbQJSMQEpQUACAAAAAIBqE5CKCUgJAhIAAAAAAFSbgFRMQEoQkAAAAAAAoNoEpGICUoKABAAAAAAA1SYgFROQEgQkAAAAAACoNgGpmICUICABAAAAAEC1CUjFBKQEAQkAAAAAAKpNQComICUISAAAAAAAUG0CUjEBKUFAAgAAAACAahOQiglICQISAAAAAABUm4BUTEBKEJAAAAAAAKDaBKRiAlKCgAQAAAAAANUmIBUTkBIEJAAAAAAAqDYBqZiAlCAgAQAAAABAtQlIxQSkBAEJAAAAAACqTUAqJiAlCEgAAAAAAFBtAlIxASlBQAIAAAAAgGrr7PxaQCogICUISAAAAAAAUF2bN78br776v3Hr1i0BaQICUoKABAAAAAAA1bR587vxwgsvxsDAgDuQCghICQISAAAAAABUTxaPbty44R1I9yEgJQhIAAAAAABQLfXxaHBwMHbv/ouAVEBAShCQAAAAAACgOsbGoxdeeDE++mibgFRAQEoQkAAAAAAAoBpS8Wjz5ndjZGREQCogICUISAAAAAAA8PibKB6Njo56B9J9CEgJAhIAAAAAADzeiuLRkSN/j/Xrfxe3bt0SkCYgICUISAAAAAAA8Pi6Xzxatuz/i//3/w4LSAUEpAQBCQAAAAAAHk/NxKPDh4/E6OioR9gVEJASPvvss7h582YlTjAAAAAAAPxQNBuP7t69G729l2NoaEhAmoCAlPDVV19Ff39/JU4wAAAAAAD8EDxIPNq8+d149dX/jf7+/vjqq68e2T4ISCUyGQHp0qVL8dVXX8Xo6OgjWycAAAAAADA5vv76dLz66v/GjRs3IiJi9+6/xLZtf8qv87/11oY4cuTvcffu3bh8uS9eeOHFuH79enz11VfR29v7yPZDQCqRyQhIEffuQuro6Ijr16/HyMhI3L1712QymUwmk8lkMplMJpPJZDKZTCZTSafR0dGm/ntkZCSuXbsW7e3t8fXXXz/StiAglcjdu5MTkCIizp8/H8ePH4/PPvvMZDKZTCaTyWQymUwmk8lkMplMJlNFps8//zwuXrz4yLuCgFQikxmQAAAAAAAAmiUglYiABAAAAAAAlIGAVCICEgAAAAAAUAYCUokISAAAAAAAQBkISCUiIAEAAAAAAGUgIJWIgAQAAAAAAJSBgFQiAhIAAAAAAFAGAlKJCEgAAAAAAEAZCEglIiABAAAAAABlICCViIAEAAAAAACUgYBUIgISAAAAAABQBgJSiQhIAAAAAABAGQhIJSIgAQAAAAAAZSAglYiABAAAAAAAlIGAVCICEgAAAAAAUAYCUokISAAAAAAAQBkISCUiIAEAAAAAAGUgIJWIgFRsZGQkbt26Fbdu3Xpk67x9+3bcunUrhoeH77vs6OjoQ2/n7t27+b5/Xz+2Bzm2qhsYGIhr1/yuxhoeHo5bt27FnTt3vpftTcZvGAAAAACYHAJSiTwOAam7uzv27t0be/fujX379iUHzpEjR/JlTp069ci2vX379qjValGr1eL8+fOPZJ1PPPFE1Gq1WLlyZeFymzZtilqtFs8999xDbef8+fP5vm/fvv2h1vGgmj22Kmtvb49p06bl331ra+sjHZOPu5UrV0atVosnnnjie9neZPyGAQAAAIDJISCVyGQFpJGRkbh69Wp0dXXF8ePH4+jRo+Om48ePR1dXV/T39xfeabNx48b8AnCtVouTJ082fD44ONjw+fLlyx/ZcdRffD537twD/e3evXtj/fr1cfXq1Yb5WWRZsWJF4d+vWLEiDxAPoz4gbdu27aHW8aCaPbZmvf322/GHP/zhkazr+5Kdt2xqaWn53u62+W/68ssvY/369fHll18WLvffDEgP+htOmeh3DQAAAAB8dwJSiUxWQOrv748vvvgiPv300/jb3/6WnA4ePBiHDh2KkydPFl6MHRuQXnnllYbPd+3aVbqANDIyElOmTEn+XbORpa+vL7Zu3Rr/+te/HmrfH/eA1NXVFbVaLaZMmfII9uz709LSErVaLRYvXhwjIyPR39//396l78WyZcuiVqvFRx99VLjc4xyQin7XAAAAAMB3JyCVyGQFpDNnzsQ//vGP6O7ujmvXrsXQ0NC46fr16/Hvf/87jh49GmfOnJlwXWMD0vTp0xs+X7x48YQBqaenJ7Zv3x6rV6+OGTNmxNNPPx3vvfdeXL58OV/m8OHD0dbWFhs2bIgLFy7EmjVrYsaMGXHo0KHkxecrV67E0qVLo62tLdasWTNufwcHB2PdunX5382fPz/a2tpi586dEfFtZFmzZk28+eabMXfu3Jg1a1asXbu2IaRt3Lgx2traYvXq1fm8r7/+Ol5//fVYuHBhzJkzJ9atWxd79uxJvt+lPiC999578dOf/jRmzZoVixYtisOHDzd8R21tbdHW1hafffbZuO2PPcajR4/G8uXLY+bMmbFgwYJ4+eWX48SJEw3HVh+QPvzww3z9f//73yPi3rh7//33o62tLaZPnx7PPPNMfPTRR/k/ChcuXIiFCxfm+5/9fXt7+7jjjLj32LhNmzbFkiVLYtq0abF8+fJx30tvb29s3rw5Fi9eHDNnzoxVq1bFhx9+GL29vcl1NjN26g0NDcUf/vCHfJ+nTZsWbW1tsWvXrsIxFnFvzLzyyiuxYMGCmDFjRixZsiSOHj3asP6rV6/GmjVrYubMmbFo0aLYv39//O///m++jYc5l0eOHIlly5bFjBkzYv78+bF+/foYGhoa93effPJJ7Ny5M5555pl8/06fPp2fy23btjX8Ptva2uLFF19Mfk9ZQJo2bVp8/PHH8fTTT8fs2bPjV7/6Vdy8eTNf7vnnn4+2trbYsmVLPi/7Htva2hrC3ODgYKxfvz6eeuqpmDFjRqxYsSLefffduHXr1gP9hou+j/v9rgEAAACA705AKpHJCkidnZ1x6tSp+z66686dO/HFF19ER0fHhMtkAWn69On5xdvu7u6IuHfRPpv35JNPjgtIY+NT/cX9LC5kF5inTJnS8O6aI0eOjLv4fOPGjZg9e3b+aLJU0HjjjTeS28zunMoiS2r6xS9+ka9n7J0aly5dyu9uqZ9aW1vj9u3b4/ajPiClpuPHj0dExOnTp/N5f/nLX/K/zx7FVn+nyAcffJBc1wcffNBwbFlAqr87bOXKlfmPfuxj3rJp7dq1ERHx1FNPJT/PgstYzz77bHL57F1Mo6OjMXfu3OQyEz1yrZmxU+/gwYMTnveiMTY0NNQwr37661//mu//zJkzJzyXv/vd7x74XG7dujW5rlmzZsXw8HBEfDsGW1tbxy2Xhdxjx44l1zN37tzk95qtMzUtWrQoXy7b5k9/+tN8Xn2oyt5nNNH3N2XKlBgdHW36N3y/7+N+v2sAAAAA4LsTkEpksgJSe3v7hHeLjN1+e3t7UwEpuwukVqvF22+/HRERe/bsiVqtFvPmzcs/qw9IN2/ejLVr18bu3bvj3Llz8etf/zq/8Hvs2LGIaHzEVbaddevW5XegZPPPnDnTcFfM2DtEMj09PfHb3/42X27Pnj1x7NixuHTpUkQ0BqTly5fHrl278gvgra2t+fugxgakHTt25H+3devWOHfuXPzpT3+KrVu3JvejPiC1tLTEH//4x3j55Zfzec8++2xENB8dBgYG8oDV2toamzdvjn379sWaNWtiYGCg4dhWrlwZBw4cyNfb1taWR4n64JB9z/V3dvznP/+J06dPx6JFi/J9P3bsWBw7diwGBweTx9rR0REvvfRSHDx4MM6ePRsLFizI1zcyMhI9PT35f69atSouXrwY+/fvL7z438zYqXft2rWGY1uxYkUcO3Zs3DgaO8bqw8SuXbuiu7s73/+pU6dGRMQnn3ySLzNnzpzYtm1bwzE+aEC6ceNGfi4XLFgQ3d3dDbFvx44dDWOwVrsXaHft2hVtbW35vNOnT8eNGzfi448/zue9/PLLcezYsQkfvVi/zueeey527twZM2bMyOdl/240G5Bef/31fN6SJUviwIEDsXHjxvx30cxvuJnv436/awAAAADguxOQSmSyAlJHR0fTAamjo6OpgDRt2rR477338mAU8e17VzZt2pRfGB77DqRz587Fnj17YuPGjbF27dpxF9jrLzCPfcRX/WdLlizJ//e+ffsKj6s+9kz0DqT6R/G99dZb+fLZhfexAak+TrS0tMQLL7wQFy9enHAf6gNS/WPwsjtZsncLNRsd/vnPf+bLbdiwIbnN7Niefvrp/IL83LlzGx5N9vvf/z5fzxtvvBFbtmxpiACffPJJRET8+Mc/btjP+zl16lTs2LEj3n777YbIcfny5RgeHm4IOMuWLYtTp07dd533Gzsp2TLr16/P5xWNsWzctrS0xJYtW2LLli3x/PPP58sPDAw0hIvst1J/fh80INWfy+XLl+fbzc7Z//zP/0REY+zp6+uLiIiTJ0/m87LHy124cCGf1+w7kGq1Wj5+9+3bl8/Lwk+zAan++xsZGRm3vWZ+w81+H0W/awAAAADguxOQSmQyA1JRFKrffkdHR3R2dk64TBaQpk6d2nAnSU9PT36B9+LFi8mAtGbNmoZwUD/t3r07IhovMH/++ecN2x5750h2ofrChQuFx9VMQFq8eHE+L7uTKrurI2J8QIqI+NWvfjVuf95///3kPtQHhk2bNuXzszBTq9UiYuLosHz58obt79y5M18ue5fRWKnH8/3yl79sWGbVqlUTnpP6gNBsQBocHMwfSZaasncc7d69e9xnq1atmvAfombGTsr9AtLYMTZ16tTC76O7u7vhO6uPJFlkuV9AKjqXqen555+PiG/HYEtLS76uvr6+fLnNmzdHxMMFpPp11v/9a6+91nBs9QHp/fffHxeQsu9v/vz5ye018xtu9vsQkAAAAABgcglIJfK4BaSIiFmzZkWtVosf/ehHUavde7RWRIwLSPXvpFm0aFEcPXo0jhw5UhiQxl4Urv+s/v1DTz75ZP5ItpRmAlL2nqCI5gNSxL3HA2ZBIJsuX748bh/qA9LPfvazfP68efOiVrv3GLqIxuhQH6Pmz5/fsP39+/fny23bti153PUBqf5/79+/P1/mpZdeaogNH3/8ccOU3ZXSbECqfyzfiy++GJ2dnQ13NGUBKSKit7c3XnrppYZzmb1nqF6zYyflfgFp7HiYM2dOfj7Gfhd79+6N27dvN4TDb775JiLuPWIvm5cKSEXnsv74fvGLX4zbbnb3YGoMPqqAVKt9e1dT/XebrTMLSPVB+He/+924gJT9ezD2d5L67if6DTf7fQhIAAAAADC5BKQSeRwD0muvvdYQT955552IGB+Q6h93dfDgwbh7927DhfgHDUgnT55s+O8XX3xxwn2uf2fNgQMHYmRkJPr7+yPi4QPS2bNnGx67tnnz5vxvjh8/Pm4f6gPS1KlTo6OjIw4fPtxwAT3i3h082by2tra4ceNGw/5k2z9z5kw+b968edHd3R137tyJvXv35tvPjm3RokUxNDQU06dPzy/c9/T0REQ0vFtm/fr1+UX8oaGhOHjwYL7/9eeqv78/bt68mXwHUvZ4tlqtFkNDQ3Hr1q148sknGwLS0NBQHDhwIN9WfWh58803x62z2bGT8qABqf5Op/rj7+3tzb/X7NGNWSy6fft2w904WUBq9lxevHgxn/fMM8/EtWv3fv+jo6Nx+PDhuHHjRkQ0H5CuXbs27neRxaGx6gPS+vXro7e3N5YuXTruO5g7d24eEC9duhQnTpxouFsrC0j1MXXbtm0xPDwc58+fz/9daOY33Oz3UfS7BgAAAAC+OwGpRCYrIHV1dUVHR0fynST1hoeHo7OzM7q6uiZcZmxAam9vbwhI2aOoxgak+gvdLS0tMWXKlIa/e9CAlH1Wf7H7wIEDyX2uv5CfTatWrYqIhw9I2b60trbGnDlz8rsppkyZkgwr9QEpNe3YsSNf9tlnn51wufp4UP9uofrpz3/+c/LY6s/V3LlzY3h4OEZGRvK7RrJzk4Wm7K6oiIhPP/103HZ27tw57jj37t3bsK/1d5lkASn7LlpaWmL27NkNY+HLL78ct85mx07Kgwak+kcxZuczCyXLli2LiHuBZuxx1U9ZQHqQc7lu3bqGz6ZPn55vY6L3cI39brKAFBEN0a6lpSX/vY5VH5DGTlOnTo3R0dGI+PZ3P9GUBaT6dzKNXddE333qN9zM91H0uwYAAAAAvjsBqUQmKyBduHAh2tvb48qVK/nJHjsNDw/HlStXorOzM78YnLJp06aGC8IR34aK2bNn5/OeeuqpqNW+fV9JRMRbb72VX/xvaWmJd955J5YtWxa1Wi327NkTEQ8ekK5evZqvs7W1Nfn4uGzb2WO4arVavPrqqw37/qAB6dChQw3rq9VqMW3atAnfR1QfkLZt29bwt7/5zW8afoAnTpxoeOTc7Nmz88d11ceD/v7+cY/Pe+KJJ+LEiRMTHtuGDRvGRZUrV640vIspm+ofV3bnzp2Gu4taW1uTwe727duxYsWKhqB26NCh/Bz19fVFX19fTJs2rWFbra2tDQEkdf7uN3ZSxp7viOIxFhHR2dmZP2auPsJs3LgxX+bw4cPjzmEqIDV7LoeHh+P//u//xo2pOXPm5I/9u19Aevfdd/P5+/fvjxkzZuSfPfXUU8nvJ1vnmjVr4rnnnmsINvUhua+vL3/cYnZe6+8Aqv834+OPPx73/q3Vq1dP+N2nfsPNfB8RE/+uAQAAAIDvTkAqkckKSAMDA3H27Nno7OyM9vb2/JF29VNnZ2d0dHTE2bNnY2Bg4JFuv97o6Gj09PT8VwZc9jit7K6K7+ru3btx6dKl6O7ufuDv7O7du9HT01P47qbe3t64fv36fdc1MjISPT090dfX952+1+x4vvnmmwn368aNG/l7f4oMDQ1N+Ni0TH9/f5w9e7bp/f6+x042Xq5cuTLhNi9duhTDw8MxOjqaDEiZZs9lxL3vpaenJ27evPmd9j/iXjy+fft208sPDg42BJqxrl+/3tT5z5a9cOHCdz6O+30fj/p3DQAAAADcIyCVyGQFpNHR0RgYGIjz589HV1dXdHZ2jpu6urri/PnzMTAw4EIsPKD7BSQAAAAAgMeNgFQikxWQgMklIAEAAAAAVSMglYiABI+nu3fvxsKFC2P+/Pmxffv2//buAAAAAAB8ZwJSiQhIAAAAAABAGQhIJSIgAQAAAAAAZSAglYiABAAAAAAAlIGAVCICEgAAAAAAUAYCUokISAAAAAAAQBkISCUiIAEAAAAAAGUgIJWIgAQAAAAAAJSBgFQiAhIAAAAAAFAGAlKJCEgAAAAAAEAZCEglIiABAAAAAABlICCViIAEAAAAAACUgYBUIgISAAAAAABQBgJSiQhIAAAAAABAGQhIJSIgAQAAAAAAZSAglYiABAAAAAAAlIGAVCICEgAAAAAAUAYCUokISAAAAAAAQBkISCUiIAEAAAAAAGUgIJWIgAQAAAAAAJSBgFQiAhIAAAAAAFAGAlKJCEgAAAAAAEAZCEglIiABAAAAAABlICCViIAEAAAAAACUgYBUIgJSsZGRkbh161bcunXrka3z9u3bcevWrRgeHr7vsqOjow+9nbt37+b7/n392B7k2OC7+r7Hm/ENAAAAAJNLQCqRxyEgdXd3x969e2Pv3r2xb9++5MA5cuRIvsypU6ce2ba3b98etVotarVanD9//pGs84knnoharRYrV64sXG7Tpk1Rq9Xiueeee6jtnD9/Pt/37du3P9Q6HlSzxwaPwvc93oxvAAAAAJhcAlKJTFZAGhkZiatXr0ZXV1ccP348jh49Om46fvx4dHV1RX9/f+GdNhs3bsxDSK1Wi5MnTzZ8Pjg42PD58uXLH9lx1Aekc+fOPdDf7t27N9avXx9Xr15tmJ9dhF6xYkXh369YsSJqtVq0trY+8H5HNAakbdu2PdQ6HlSzx9ast99+O/7whz88knXx+Gj2vD/q8fZ9b8/4BgAAAIBGAlKJTFZA6u/vjy+++CI+/fTT+Nvf/pacDh48GIcOHYqTJ0+Oiyz1xgakV155peHzXbt2lS4gjYyMxJQpU5J/1+xF6L6+vti6dWv861//eqh9f9wDUldXV9RqtZgyZcoj2DMeFw9y3h/ngGR8AwAAAMB4AlKJTFZAOnPmTPzjH/+I7u7uuHbtWgwNDY2brl+/Hv/+97/j6NGjcebMmQnXNTYgTZ8+veHzxYsXTxiQenp6Yvv27bF69eqYMWNGPP300/Hee+/F5cuX82UOHz4cbW1tsWHDhrhw4UKsWbMmZsyYEYcOHUoGpCtXrsTSpUujra0t1qxZM25/BwcHY926dfnfzZ8/P9ra2mLnzp0R8e1F6DVr1sSbb74Zc+fOjVmzZsXatWsbQtrGjRujra0tVq9enc/7+uuv4/XXX4+FCxfGnDlzYt26dbFnz57kO5rqA9J7770XP/3pT2PWrFmxaNGiOHz4cMN31NbWFm1tbfHZZ5+N2/7YYzx69GgsX748Zs6cGQsWLIiXX345Tpw40XBs9RfYP/zww3z9f//73yPi3rh7//33o62tLaZPnx7PPPNMfPTRR/k/ChcuXIiFCxfm+5/9fXt7+7jjjIhob2+PTZs2xZIlS2LatGmxfPnycd9Lb29vbN68ORYvXhwzZ86MVatWxYcffhi9vb3JdTYzdsbKxtK6deuis7Mzli5dGjNmzIjly5ePC4nnzp2Ln/zkJzF79uyYPXt2/OQnP4kLFy6MW1dqXGafvfHGG3H06NFYvHhxzJgxI5YuXRqff/559Pb2xurVq2PmzJmxcuXK+Nvf/tbwD24zx5ad/08++SR27twZzzzzTMyYMSOWLFkSp0+fbjiWwcHBeOWVV2LBggX5MkePHs0/7+vri7a2tli+fHn09vbGmjVrYtasWTF37tzYsGFD/k6hBz3v2XhbvXp1/luaN29ebN68ueFYH/fxDQAAAAA/FAJSiUxWQOrs7IxTp07FnTt3Cpe7c+dOfPHFF9HR0THhMllAmj59en7Btbu7OyIihoaG8nlPPvnkuIA0Nj5l07Rp0/K4kEWiKVOmxLRp0/Jljhw5Mi4g3bhxI2bPnh21Wi1aWlqSF3zfeOON5DazO6eyi9Cp6Re/+EW+npUrV0atVosnnngiIiIuXboULS0t4/6mtbU1bt++PW4/6gNSajp+/HhERJw+fTqf95e//CX/++wRetn2IyI++OCD5Lo++OCDhmPLLrDX3x22cuXK/EefrXvstHbt2oiIeOqpp5KfHzp0KDlGnn322eTy2btqRkdHY+7cucllvvzyy8JxVzR2xqofL2PPVWtrawwMDETEveCVOpctLS35u7aaGZcTrSM1xnbt2vVAx5aNv9bW1nHL1UfcoaGhhv2rn/7617+OG4up9e3Zs+ehznvRb2nDhg0RUY3xDQAAAAA/FAJSiUxWQGpvb2/q/01/9+7daG9vbyogZXdK1Gq1ePvttyMiYs+ePVGr1WLevHn5Z/UB6ebNm7F27drYvXt3nDt3Ln7961/nF2uPHTsWEY0X/bPtrFu3Lr9LI5t/5syZhrsG6u+wqNfT0xO//e1vGy6OHzt2LC5duhQRjRe9ly9fHrt27covwLe2tubvgxobkHbs2JH/3datW+PcuXPxpz/9KbZu3Zrcj/qL9i0tLfHHP/4xXn755Xzes88+GxHNX2AfGBjIg0Vra2ts3rw59u3bF2vWrMnDSHZsK1eujAMHDuTrbWtry+8yOXbsWD4/+57r79j6z3/+E6dPn45Fixbl+37s2LE4duxYDA4OJo+1o6MjXnrppTh48GCcPXs2FixYkK9vZGQkenp68v9etWpVXLx4Mfbv3z/ucYj1mhk7Y9WPl5kzZ8aOHTti6dKl+byNGzdGxLcBobW1NT7//PP4/PPP87CyatWqcesqGpdTp06Njz76aNydeK+//nps2LChYaw9yLFl469Wuxdnd+3aFW1tbfm87C6k+mC6a9eu6O7uzr//qVOnjhuLtdq9mPrBBx/k42nJkiX5WHyQ817/W3r55Zdj8+bN+ffY2toaw8PDlRjfAAAAAPBDIdE4FRwAACAASURBVCCVyGQFpI6OjqYDUkdHR1MBadq0afHee+/lwSgiYtmyZVGr1WLTpk153Bn7DqRz587Fnj17YuPGjbF27dpxF5PrL8aPfZxV/WdLlizJ//e+ffsKj6s+9kz0DqT6uzjeeuutfPnsnUdjA1L9hemWlpZ44YUX4uLFixPuQ/1F+/rH4M2cOTNqtW/fvdLsBfZ//vOf+XLZ3R1jZcf29NNP5xfj586dGzdv3syX+f3vf5+v54033ogtW7bE66+/ns/75JNPIiLixz/+ccN+3s+pU6dix44d8fbbbzeEjsuXL8fw8HBDwFi2bFmcOnXqvuu839gZq368/PnPf46Ie493y+Y9//zzMTo6mv/3rFmzYsuWLbFly5b8zraZM2eOW1fRuNy7d29E3Iu29UEjk72La8GCBQ90bPUBqa+vLyIiTp48mc/bsmVLRET+u2tpacmP5fnnn8+XGxgYaBiLP//5z/N9eOaZZ/Jgk3mQ856NtyxURURDrOnu7q7M+AYAAACAHwIBqUQmMyAVRaH67Xd0dERnZ+eEy2QBaerUqQ13kvT09OQXcS9evJgMSGvWrGkIB/XT7t27I6LxYvznn3/esO2xd4FkF8rr31WT0kxAWrx4cT4vu5OqVvv2zo6xASki4le/+tW4/Xn//feT+1B/0X7Tpk35/OzCda1Wi4iJA9Ly5csbtr9z5858uexdL2OlHin2y1/+smGZVatWTXhOarVafkdVsxfYBwcH8/iSmrJ3HO3evXvcZ6tWrZrwH6Jmxs5Y9eOlfvxPnTo1arVaLFy4sGEMp6bseJsdl9l4uXr1aj7vtddey5fNHt1XH5CaObZs/LW0tOR/19fXly+XvWcoO7aJpu7u7oaxWP9+op/97GePJCA999xz+bz6397Ro0cf+/ENAAAAAD8kAlKJPG4BKSJi1qxZUavV4kc/+lHUavcerxUR4wLSwYMH84u2ixYtiqNHj8aRI0cKA9LY2DPRO22efPLJ/JFVKc0EpOw9KhHNB6SIe3eaZBe/s+ny5cvj9qH+ov3PfvazfP68efMaLtrXX2Cvj1Hz589v2P7+/fvz5bZt25Y87voL7PX/e//+/fkyL730Uj7/o48+io8//rhhyu6qavYCe/1j+V588cXo7OxsuOMjC0gREb29vfHSSy81nMvsPT31mh07Y9WPl+y9PvV3P61YsSJu3ryZ//f8+fPHHX/2Hpxmx2X2WX1Ayh6VFzE+IDV7bKnxlwpIc+bMycfT2GPZu3dv3L59u2Es1o+dRxWQ6u/mW79+fcNv6XEf3wAAAADwQyIglcjjGJBee+21hnjyzjvvRMT4gLRt27Z8mYMHD8bdu3cb7uB50IB08uTJhv9+8cUXJ9znTz75JF/uwIEDMTIyEv39/RHx8AHp7NmzDY9d27x5c/43x48fH7cP9Rftp06dGh0dHXH48OGGCBbR+Ii1tra2uHHjRsP+ZNs/c+ZMPm/evHnR3d0dd+7cib179+bbz45t0aJFMTQ0FNOnT8/jW09PT0RE7Nq1K1/P+vXr8xA3NDQUBw8ezPe//lz19/fHzZs3k++IyR5FVqvVYmhoKG7duhVPPvlkQ0AaGhqKAwcO5NuqjwpvvvnmuHU2O3bGqh8fbW1tcenSpfjjH/+Yz3vrrbciIvJ3Xk2ZMqVhzJ0+fTrOnDkzbl2PMiA1e2zNBqT6u5nqz19vb28+Lh4kIDV73iNiXMQ5e/ZsPuZqtVoMDg4+9uMbAAAAAH5IBKQSmayA1NXVFR0dHTEyMlK43PDwcHR2dkZXV9eEy4wNSPXveqnVavnj5MYGpPqL3S0tLfm7YB42IGWfLV26tCEOpdRftM6mVatWRcTDB6RsX1pbW2POnDn5XTRTpkxJXniuv2ifmnbs2JEv++yzz064XH1AqH+3UP2Uve9n7LHVn6u5c+fG8PBwjIyM5HeRZecmuxBfHxI+/fTTcdvZuXPnuOPcu3dvw77W312UBaTsu2hpaYnZs2c3jIUvv/xy3DqbHTtjpR55WL+e8+fPR0TEvn37Gj6bNm1avo3s3UKTFZCaPbZmA1L9oySz8Zg91m7ZsmXjxuL9AlKz5z0i/Ui5sb+3iMd7fAMAAADAD4mAVCKTFZAuXLgQ7e3tceXKlfxkj52Gh4fjypUr0dnZmV9YT9m0aVPUat8GpIhvL+TOnj07n/fUU09FrVaL559/Pp/31ltv5RfIW1pa4p133olly5ZFrfbtI8Ye5kJ9ts7W1tbk4+Oybbe2tuZ//+qrrzbs+4MGpEOHDjWsLwsPE72vZexF+/q//c1vftPwAzxx4kTDxfjZs2fnj+Grv8De398/7vF5TzzxRJw4cWLCY9uwYUO+7Pr16yMi4sqVKw3vYsqm+vdX3blzp+HuotbW1mSwu337dqxYsaIhqB06dCg/R319fdHX15ff9VO/vvr38aTO3/3Gzlj14+XnP/95w3mqf8xZxL2INHafpk6dmp/PBx2X165dy+fVv/Mqe2ThwoULH+jY7heQ3n333Xx+Z2dn/ki4+nCShawHCUjNnveIb8fbO++8EzNmzMj/5kc/+lFcv349X+5xHt8AAAAA8EMiIJXIZAWkgYGBOHv2bHR2dkZ7e3v+SLv6qbOzMzo6OuLs2bMxMDDwSLdfb3R0NHp6ev4rA254eDjOnz8fo6Ojj2R9d+/ejUuXLkV3d/cDf2d3796Nnp6ewnc39fb2Nlx4n8jIyEj09PREX1/fd/pes+P55ptvJtyvGzduxDfffHPfdQ0NDUVfX1/hMv39/XH27Nmm9/tBx87YsDM8PNzwDqaUwcHB+M9//jOpv4GUyfhdZOP9ypUr33m9zZ73epcvX44bN25M+PnjPL4BAAAA4IdAQCqRyQpIo6OjMTAwEOfPn4+urq7o7OwcN3V1dcX58+djYGDgkQUW+G8qumsIAAAAAIBiAlKJTFZAgh8iAQkAAAAA4OEJSCUiIMGjc/DgwZg/f37Mnz/fY8kAAAAAAB6QgFQiAhIAAAAAAFAGAlKJCEgAAAAAAEAZCEglIiABAAAAAABlICCViIAEAAAAAACUgYBUIgISAAAAAABQBgJSiQhIAAAAAABAGQhIJSIgAQAAAAAAZSAglYiABAAAAAAAlIGAVCICEgAAAAAAUAYCUokISAAAAAAAQBkISCUiIAEAAAAAAGUgIJWIgAQAAAAAAJSBgFQiAhIAAAAAAFAGAlKJCEgAAAAAAEAZCEglIiABAAAAAABlICCViIAEAAAAAACUgYBUIgISAAAAAABQBgJSiQhIAAAAAABAGQhIJSIgAQAAAAAAZSAglYiABAAAAAAAlIGAVCICEgAAAAAAUAYCUokISAAAAAAAQBkISCUiIAEAAAAAAGUgIJWIgAQAAAAAAJSBgFQiAtLkGRkZ+W/vQikMDw/HrVu34s7/z96d/0VxJ/q///5H9z7uZ07P9IQznMtwDlFjiDEGo9FouMZ4lOPXryYaGY1GI64hiQujxiWDu8YshiAYh8FlNGrUGA3uEFARAUG2Zmve9wemyqpe6EZACvN6Ph7vx0yaprrWbvy8u6ra22M+NxgMPhNvDPHo7OxUa2urWltbB3tWnglePN6s7dvR0THYsxJVW1ub5+exL9rb2+N+/xksz/o2kLrf270mGAzax6gX5q+rq8uen3g+B/vynve0P396u2xe4Fy/kdZXPH/b/BaO7Vi8+Hed1459AAAAAOEokDxkKBRI5eXlKiwstFNcXKyysrLBnq2ompublZSUJJ/PpzNnzgz27Ay6d955R8YYJSYm9vi8CxcuyOfzKSEhQY8eeXd/7C8HDx6UMUbGGN29e3dQ5qG2tlaFhYU6efLkoLx+f/Dq8RYMBu3t+/HHHw/27ESVmJgoY4zeeeedwZ6VAZGWliZjjMaOHTvYsxLVs74Ntm/fLmOM3n777cGeFZdTp07Zx+gPP/ww2LOju3fv2vNz8ODBHp+bkZEhY4w2bdr0RK/1tD9/erNsgy3SZ4pzfVVUVEiK72+bZ/3YjsWrf9eFHvuBQECFhYU6cuTIb7rsAwAAALyEAslDBqpAauuQbldL314KassJaX1RV1g+Ox7Udz9LNx90qb2HL9Ju27bN/oeeM6mpqSouLu7X+e4Pd+7csedx9+7dgz07/aawsFDZ2dmqr6/v1e/FWyB98cUX9norLS198hkdIiINSD1t1rbJzMwclNfvD1493oZagTR79uzBnpUBMZQKpGd1G8yePVvGGPn9/sGeFZd4C6Qn/eyL5tGjR8rOzlZBQYHrcWfJcuDAgR6nYe0zM2fOfKJ5eNqfP71ZtnhcuXJF2dnZunLlSj/MnVukz5S+FkjP6rEdi1f/rot07I8cOVLGGO3atWuQ5w4AAACARIHkKQNVIN180KU1hV1KXReUPysosySo3zliPuiUPyuol9YFtaogqFvV0aflLJBSUlLCiqT79+/367z3hxMnTig/P19tbW2DPSv9orOzUwkJCU802BRvgdTW1qZDhw554pvgT8NgF0glJSX261dWVj711+9PXjzeKJC8gQJp8NXW1mrfvn26devWYM+KSzwFUl8++6LZtWtXxO3tLFm++OKLHqdx48YNHThwQLW1tU80D0O9QLLOwNq/f38/zF240M8UCqQn49W/6yId+0ePHrWL7ubm5kGeQwAAAAAUSB4yUAVS3qXu8uj3y4J6Liuo55Y706lhH7dr2Mft+v2HnXppfVB5l6LvDM4CqaqqSp2dnVq1apX92HfffWc/t7m5WWvWrNG4ceM0bNgwTZ8+XWfPnnVNr6SkRNu3b9f06dOVnJysmTNnKj8/33Vt++rqauXm5mratGkaMWKE5s6dq71796q6urvpun79utatW6fx48dr1KhRWrJkiT2N2tpapaenKz09XadOnbKnefbsWa1YsUIjR45Uamqq/Zz09HTdvn1b27ZtU3p6uo4ePaqvvvpKkyZNspfhxo0bUdfPqVOnlJ6erg0bNujs2bOaNm2ahg0bphkzZujixYuqrq7WvHnzNGLECL3zzjs6duyY6+CrrKzUwYMHNW/ePA0bNkxvvPGGdu7cqZqaGnudLlmyxF7fY8eOVXp6ur766it7Gnfv3lVmZqZGjx6t1NRUvf/++zp8+LCkx4MsycnJKiwstJcrIyNDN2/eDFuO9PR0e1CsN+sk1vqNpKf5tl77+PHjOnv2rKZPn66UlBQ1NDSoo6NDp0+f1tq1azVhwgSlpKRo8eLFOn36tGv6J06c0LJly5SamqoJEybo448/tvcJ54DUyZMnlZGRYa//oqIi13S6urq0e/dupaenKyUlRZMmTdL+/ftd27GnfTKSN954Q8YYLViwwH5s48aNSk9P18KFC+3Hqqur7fVoHUvOfe7ixYuaMWOGhg0bpgkTJujo0aOu14nneIs174N9vMXzvlJfX6/MzEyNGDFCb775poqKiuTz+WIWSF1dXdq3b5+mTJmiYcOGacqUKcrJydG9e/fsZZs9e7ba29uVnZ2t1NRUbdiwIe51G+u9zBrgzMzMVE5OjsaMGaORI0dq8eLFYWdcVFRU6L333lNqaqpSU1P13nvv6d69e/bPOzo69OWXX2ru3LkaMWKEpk+fri1btuj69esRl72hoUFHjhzRsmXLNGrUKKWmpmrt2rWu9wVrHcycOVPV1dXKzMzUyJEjNWbMGG3evNl1uaFgMKicnByNHj1aaWlp+uyzz5Senh6zQOrLNoj1/tnf2yDWvtjbbdAf72WxXtM61ubNm2dPr6amRvv27dPbb7+tlJQUjRs3zj4+reNl3rx5Sk9PV2lpqT7++GN7vSxatEh1dXWu+Yu1b0rStWvXNH36dA0bNkwzZ87UoUOHeiyQ4vnsu3fvnv0ZMnr0aK1YsUJXr16NuK4l6ccff7S3t9/vt5e5s7PTVbLs3r1bCxYs0IgRI5SWlqYtW7a47sljrZvt27fHtY1COT9/jh8/rhkzZmjEiBGaOXOm7ty5Yz8v3s8Ea31lZ2drwoQJGjZsmGbPnq0dO3aotbU1YoEUDAa1dOlSpaen6+2337aPh562ZVdXlw4cOOD6UlF6erpWrFgRtownT56057OqqkpS93um9djmzZvt565cuVLp6en65JNPIn6m9LVAmjdvnn1sp6WlKTc3N+y5p0+ftv8OGDt2rLKzs9XS0hJ12j39jRJrPUrxH/uxPp972u8i/V0XCAR05MgRzZ07VykpKRozZoz9HOsyl4N17FtnIXn5Sx8AAADAbwUFkocMVIG05USX/pgV1B9DyqM/ZnVq1Po2fXqkTcvz2vVfH7Xpj8uD2nI8/gJJkr777ruwAqmlpUXJyckRL3dnlQKSNHXq1IjPsa5RHwwGNWbMmIjPuXLliqqqquyBYWf8fr/a2toiDpRY32w0xtjfZraSnJys27dv24MRfr8/bNopKSlR1481sBFpnnw+nz2A4cyhQ4cirt/Q+WptbdWGDRsi/nzNmjWSugdkIr22dWkda7kiZdiwYWHLEWmAJtY6iWf9hop3vkePHu36uXUz7UjzZMzj+zscO3Ys4s/T09PDljfSfDgHoK1LQIVm8eLFkhRznwzV2dlpP+f8+fP249OnTw9btxUVFWHL1tM+Z4yxBwKl2MdbrHkf7OMtnveVYDCoESNGRN3PexqMmjVrVsTfKS0tdS3b+PHj7f+fnZ0d17qN9V4mKeL7g5VFixbFPF58Pp99D5WVK1dGnM6WLVsiLrvzLLjQWGerONdBpG2Vn59vT2/x4sVRp9dTgdSXbRDr/bM/t0E8+2Jvt0F/vJfFes3QgfbGxkbXMoe+flZWlmu9RJo/Z6ERz7559+7dqO9XxkQukGJ99l29ejXq60a7tFq01+/o6HDtaz1tY+e6sc5sibWNQjk/f0Lj9/vV1NQkKf7PhGj7ZkJCgoLBYMT36czMzLDHYm3L8+fPR5znMWPGhC1jaWmp/fMvv/xSkrR+/Xr7saSkJEndZ8lYj33yyScR57WvBVKkOAusffv2RXzOyJEjo96Tp6e/UeI5JuI59mN9/vbm7xxrvX344Yf2Y6Hrx9qOg3Xsb926VcYYjRo1Kuo2BQAAAPB0UCB5yEAVSOuLumSWhJRHyzv1HyvbtCKvVdfutWvz35v051UtMkuCWl8UX4G0efNmLV261DUo3NjYKMk92HPo0CGVl5dr3LhxroECqXvQZ+XKlTp+/LjKysrs51j/8K6srLT/e+7cubp//76KiorsQaMvv/zS/vm+fftUUVGhL774Qvv27ZMU+VIto0aNkjFGb7zxhiT3P6qtosBZtIwePVqHDh2yvz1vjIl6FpJzWklJSdq/f7+mTZvm+gfyunXrtHnzZvu/nfdNCAQCWrx4sfLy8lRRUaFly5bZzzt//rwqKyv10Ucf2Y/l5+fr/PnzdpnnHFRdvny5jh8/rtWrV+vChQthyzVq1CgdOnRIb775pv2YdbZBTwM0sdZJPOs3VG/m25juwWNrH5CkvLw85eTk6KefflJJSYk90DFhwgRJ0ty5c13zef36deXk5OjHH38Mm8eEhATt2LFDK1assB/buXOnJLkGzJYsWaLKykrXt+Lv3LkTc58M5RxYc36bt7cFkjUAtHPnTtcg8o4dO+zfj3W8xZr3wT7e4nlfcRZWqampOnDggGs5oxVIZ8+etZ8zcuRIfffdd/ryyy+1cuXKsGWz9pPMzEx7wKuv72WSe4DT+ma2NRDs9/sVDAYlSRMmTLAfu3jxoi5evGjv83PnzpUkJSUl2ftPVVWVzp8/r6VLl/Z475j169dr9+7dunXrlvLz8+15sc7wCV0Ha9as0Z49e+wBwenTp0vqPqMl9Hh677337MeiFUh93QbxvH/21zaIZ198km3Q1/eyWK8ZOtDuPF4uXLigzs5Oexrvv/9+xPUya9YsHTp0yL6MbW/3zaVLl7rW8a5du+zXNCZygdSbz77s7Gxt2bLFft3k5OSI6/rChQv2c9544w2dP39eFy9ejLivrVq1Srt377b/e8aMGWHrxiqQYm2jUM73xBEjRujLL7/U22+/bT+2bds2SfF/Jqxbt85+bPr06SouLta2bdsivk8fPHjQtV43bdpkTzvWtmxqalJBQYFrHZ0/fz7q5RGtbWytJ+d7pDHdX0pyXs7s0qVLA1YgrVq1Srm5ufby+P1+dXR0qKmpyX4/GzdunMrLy11nyFjlV6ie/kaJ55iQYh/7sT5/e/N3TkVFherr6+3/zsnJkSS9++67YfvYYB37RUVFMqa7gAIAAAAwuCiQPGQgC6TfLekujf68ul1/Xt2hP3zYpre2t+r0zXYVX2nUxJyH+v3SVpmlQW2Is0Byxufz6dixY/bzrMEcn8+nXbt2adeuXa5vlltFkyT9/PPP+vLLL7VlyxbXoHFNTY06Ojpcr5ORkaGff/7Z/l3ngL7P59Py5ctd92GKNPhg/cPXGsQ4ceKEawBNcg8GWJf6uHTpkv1YtBv7Ov+BXlhYKMn9zX7nN5Ct4m3cuHGuaVRUVCg/P1/btm1zfYvfOrvLOYjgvF+C8z4vkyZNijh/zuWyBu9/+umnsOWKVSD1tE7iWb9OvZ3vvLy8sJ+3tbXp9OnT2r17tzZv3mzPgzUI4hzsTUxMVG5uruu6+s7ltc6i6OjosAeSMjIyJLm/Mb1hwwbt2rXLNVh39OjRmPtkKGsAN3SQ5EkKJGveOzs7w+bd0tPxFmveB/t4i+d9xTkYWlJSEjZf0Qok57a9dOlS2M+d00hJSYn4odmX9zLp8UCdc5tv2rTJ/p1bt265jpeRI0fa6yE1NVXGdA9AS48H84zpLuWOHDkS84O+rq5ORUVFys3Ndb2udWlF5zpwlguTJk2yBw4l9z0trMFv5/JFK5D6Yxv09P7ZX9tAim9ffJJt0Nf3slivGTrQ7iwKrUtNWWdRWAPX0daL84sQvdk3rbPAfD6fPW/O97Fo92iJ9tnnPItz2rRp9uPOy+uGXmordLl6ugeS8yyL0H090jRibaNQzmX/+uuvJUmPHj2yH5s1a5ak+D8TnPum81J7kZbNmqYxRsuWLbOfE++2vHfvnv28WPdAev/992VMd/Hb2tpqz6O1Tx46dMj+8oPf71dXV9eAFEjOLzE5vwBSXl6uH3/80f5vq+DYtWuX/Xm6dOnSiNOO9jdKvOtRin3sx/r87c3fORUVFaqtrQ1bt6tXr7YfC11vT/vYLy8vd32GAgAAABg8FEgeMrBnIHXq+Y/a9cE37Vqd36a3tjVr56lW/VIR0MJ91fIvfqTnsoK9KpDGjBlj/6N6/Pjxruc5v1EYKeXl5Wpubrb/cRkp1qW38vLywn42d+5ce6d1XoLDyu7duyVFHtC2vpXu8/m0ePFiDRs2zP4HrvVNSmswwDmo7/zHdqRr5kvufwhbZ004v+W5du1a+7nWP6SdBZLzMjKhsQYlog2iOb9dH22QPN7l6mmAJtbvxrN+nXo73+3t7a6fXbt2LeqlX6xvnjc3N2vs2LGun1nfkg1dXuf9SawBHOvMCuc3fCPF+iZwT/tkqL/97W/2oItTpMFC59lKkQqknuY93uMt1rwP5vEWz/uK9Q1qY4xrf7P2kWj7mHPbRrpMkXPZNm7c6PpZf72XWQN1zkFw5wD/jRs3XMdLpCQkJEiSbty4EXZJotTU1KgD6c73ldBkZmaGrQPne+DChQvtYyp0Ws6zLqx9OlqB1JdtIMX3/tkf20CKb1/s7Tboj/eyWK8ZOtDuPM7GjBnjWocFBQX2vPXnvmlNy/l3w40bN+zn9bZAcr7uJ598Yj/uvLxutGnGUyD1tK9HmkasbRTK+R7uvGeTNV3rb4R4PxOsfTPacRbt8nzOe+bFuy17UyBZZ5QY012UGdP9pZr9+/fLmO5S2iovrXU5EAWSdW8fyb1PnT17Vl999VWPy22VeaGi/Y0S73qM59iXev787c3fOdZ6s+4zlJiYqKVLl9rzYF2S17nenvax7yz8ox07AAAAAJ4OCiQPGegCKWV1i7YUN+v6vXadutGmkjttyj1Wp5QVtfrD0nY9t7x3BVJVVZVrMG7v3r3286zLVvn9fhUUFLhSWFiotrY217eDV6xYoWvXrrnO5nDeu6W6ulorV650XTvdeQ+CkpISzZw50/UP1pqamoiDD+3t7a77A/h8PmVkZNhnK0iRByN6WyBZ/0B3FkjOb+OHFkjHjx+3n/fmm2/q7NmzOn36tP1YrAKpubnZfjx0MKy3yxXvAE2k341n/To96XxbnPccOHjwoCoqKvTGG2+EDbxI3QNYznugWPd9irS8UngJ47w03P79+8P2bee3gaPtk6Gsy+NYAywWa7DQOVD5ww8/uJa1N/Pem+Mt1rwP1vEWz/uKc4DtwYMHktz7WLQCyXm5M+d6tERaNkt/vZdFGswOHagLBAL2f48dOzZsPZw8edL+3UAgoJ07d7rKDud9fCzO96ikpCQVFRW57rcRqUByroPQQXXnZdGc93izjtVoA9t92Qbxvn/2xzaQ4tsXe7MNnOunL+9lsV4z0rEWWh6OHDnSvmyhpT/3TWvQ2rlMzjMTe1sgOQea3333Xftx55lj0T5/4imQetrXe5pGT9vIKdJZpM57AVnv4fF+JjhLgUgiXQrSem+urKyUpLi3ZW8KpJaWFvu51hmaOTk5dgnm3P+t942BKJCcBVx2drZrH3a+jyxatChsuaPtR9FeP9712JtjP9bnc2/+znEWkNb8L1y40FVyD9axf//+/R4/DwAAAAA8PRRIHjLQ90D6w9KAxq2rVeHFRwq0demfV5s0+a81+rcPmvVcVlB/fIICSZL9j1yfz2dfAsf5Lebjx4/bv19dXW1ftmr27Nn2c1paWtTa2ur6R3R1dbVaWlpUXFxsfxvd+U3FnJwclZWVuS5BlJuba//8woULEQcfrG+7pqam6vr16xEv8TIYBdKBAwdc66yrq8s1GG4NhvBXDQAAIABJREFUgDoHZ4uLi9XZ2Wn/Y98aCPL7/Tp79qyCwaAuXbpkD8Y8jQIpnvUb6knm22INblg3Wn7w4IE9T9YgxdmzZ+19U5LrvlTRllcKL2Gc90LIzs6298uWlhZ7P4+1T4ZyXuLQebkZ56XYrPm3Lp/kHCyMd97jOd5izftgH2/xvK/s2rXLfs7KlSvV3Nzset+KViDt2bPHfs7ChQv16NEjNTY2atu2baqvr++xvOiP9zIp/vLCKuQSEhJc2/zGjRsqLS2V1P0+YV0qtK2tzT7GrHtROTkvg2Xdb8j5PtPbAunWrVv289544w3V1NTowoULrgHG/t4G8bx/9uc2iGdf7M02cL52X97LYr1m6LHW1dVlv+7+/fujXiqqP/fNjIwM+/eOHj2qR48euQbEoxVIPX32paWl2a974cIFlZaW2oPV1nEZifWc0aNHq7OzU/X19ero6OhTgRRrG4Vyvoenp6erqqrKdYmwVatWSYr/M8G5Lg8cOGAvz9atWyW5j+PNmzfr5s2b9n+PHj3aPj7i2ZbOS+2tWLFCkuzLkEbivMSitRySws6+sbbrQN0DqaioSGVlZfbnpDHdn7/O0mLSpEl69Kj77/FgMKhTp06pqakp4rR7ev141mM8x36sz98n+TvH+uxasGBB1JJmsI5956VQI529DgAAAODpoUDykIEqkLac6JI/Kyj/sk7926IGvbGhSn8teKD/vb1Kzy3pvnTdc8u7C6Q/Lg/qs+O9K5Ccg4/jx49XV1eXKisrXd/uTkhIsL8Nbd2TpbCw0P55YmKi6/nGdA+6WoMHPp9Pqamp9mCYMUZXrlyx/0Hs9/s1atQoexoJCQlqbm6OOPjgvBG2Ne2kpCQtWLBA165dkzQ4BZJz+j6fz7Ws1gCo5D6bwop1g+LPPvss7GfGGM2bN69Xy9WXAime9RvqSebb4rzPifNMF+fAi/X7SUlJrkuNTZ06NerySuElTGdnp2tQ0ufzuW4m7ZxWtH0ylPObu87BIWexFCm9LZDiOd5izftgH2/xvK80NDSELZsz0Qqk5ubmqJcQun//fo/lRX+8l0nxD9QdOXIkbD+3pmfdL8qa1rBhw+zLBoa+Bzk5nxN6HPW2QJIeD+hHSrQCqS/bIJ73z/7cBvHsi73dBv3xXhbrNUOPtWAw6FoPPp9PPp9Po0aN0pYtW+x568990zkwHCnRCqSePvt6mub69esjTk9y3/PFSmVlZZ8KpFjbKJTzPTxSrPf1eD8TnPePc8a690+kZduxY4f9mFUix7MtJffZM9b7ezRbt251TbO1tVWSXPeMGz16tP38gSqQou1Hkvu+SMZ0n7FkHevWPdBC9fT68azHeI79WJ+/T/J3TuiZTD6fT8nJyVq+fLld4g3WsW8VZM77RAEAAAAYHBRIHjJQBdJ3P3cpdV1Qv18W1B+WdejfFj3SHxZWyr+oTn9Y2m4XR74Pgxq1Iai8S9F3hu3bt9v/0HNeliknJ8d+3Loe+7Vr18Kux+7z+eyBrLa2Ns2ePdv1j+CTJ0/a/+Csra1VbW1t2D+m/X6/PaB88uTJsAHH5ORk+x+hzsGHL774QsFgUBs3boz6j1fruuyxBrR37NgRcf1E+ge68xu627dvt59rDbA6rwW/adMm1+Vktm7dan9j07q0jfU853Jb933o6OjQunXrXAObPp9Pe/bs6dVyOZfjzp07cf9uvOs31JPMt6W0tNQ+C86Y7m/wWpehsS5V49w/nfNiXa4n3hJGkh4+fOi6z46VmTNnSoq9T0YyYsQIGeO+R5bkPsvB5/Npw4YN9g3Se1sgxXO8xZp3Lxxvsd5XpO7LOjnnc82aNfblnz799NOo2+HatWuuwVBrf2poaOixvOiP9zIp/oE6qXuwLnR6SUlJ9raYMmVK2PqeN29e1DMCi4qK7P3QmgfrCwMLFy4M276xBtUrKytdg5jp6en2JcWc933rr20gxX7/7O9tEGtf7O026I/3slivGXqsVVRUaNy4cVGP0XPnzvV6vcTaNyV3keDz+XT48GF721lnpUQS7bNP6j5DybnP+f1+ffbZZz2evVBaWuo6KyYxMVG1tbV9KpBibaNQ1nt4amqq65JqPp9PhYWFrufG85kgSQUFBWGFifWFjGjL5ixxTp06Ffe2LCoqcpWVEyZMiLq+nWcnWmfbSNL69evtx52FX+hninN9GdPz3yehrPWxdetW1/xOmTJFDQ0N9vM6Ojq0cePGsM+6UaNGuf7udYr1+rHWYzzHfqzP3978nXPnzp2ws39Cs27dOtd6e9rHvrU/Wl9gAAAAADB4KJA8ZKAKpFsPurSmsEsvbQjqj1lB/T9LOvV/vd+m/3txu8zS7svW/XFFUC+tD2pNYVC3HvTry9uXT3n48GHEHa2lpaXHS55IUl1dncrKylRbWxs2ja6uLlVVVam8vNy+dE80x44ds//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\n", "text/plain": [ "" ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Accept it by clicking *Save*." ] }, { "cell_type": "code", "execution_count": 66, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "save = gui_driver.find_element_by_name(\"submit_save\")\n", "save.click()\n", "time.sleep(1)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "You will be redirected to the newly created bucket, which shows you the size (how many crashes it holds), its bug report status (buckets can be linked to bugs in an external bug tracker like Bugzilla) and many other useful information." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Crash Signatures\n", "\n", "If you click on the *Signatures* entry in the top menu, you should also see your newly created entry." ] }, { "cell_type": "code", "execution_count": 67, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gui_driver.set_window_size(1400, 800)\n", "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "You see that this signature refers to a crash occurring in the function `crash()` (duh!) when called from `main()` when called from `start()` (an internal OS function). We also see the current crash address." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Buckets and their signatures are a central concept in FuzzManager. If you receive a lot of crash reports from various sources, bucketing allows you to easily group crashes and filter duplicates." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Coarse-Grained Signatures\n", "\n", "The flexible signature system starts out with an initially proposed fine-grained signature, but it can be adjusted as needed to capture _variations_ of the same bug and make tracking easier." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "In the next example, we will look at a more complex example that reads data from a file and creates multiple crash signatures." ] }, { "cell_type": "code", "execution_count": 68, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[37m/*\u001b[39;49;00m\n", "\u001b[37m * out-of-bounds - A simple multi-signature out-of-bounds demo.\u001b[39;49;00m\n", "\u001b[37m *\u001b[39;49;00m\n", "\u001b[37m * WARNING: This program neither makes sense nor should you code like it is\u001b[39;49;00m\n", "\u001b[37m * done in this program. It is purely for demo purposes and uses\u001b[39;49;00m\n", "\u001b[37m * bad and meaningless coding habits on purpose.\u001b[39;49;00m\n", "\u001b[37m */\u001b[39;49;00m\n", "\u001b[36m#\u001b[39;49;00m\u001b[36minclude\u001b[39;49;00m \u001b[37m\u001b[39;49;00m\u001b[36m\u001b[39;49;00m\n", "\u001b[36m#\u001b[39;49;00m\u001b[36minclude\u001b[39;49;00m \u001b[37m\u001b[39;49;00m\u001b[36m\u001b[39;49;00m\n", "\u001b[36m#\u001b[39;49;00m\u001b[36minclude\u001b[39;49;00m \u001b[37m\u001b[39;49;00m\u001b[36m\u001b[39;49;00m\n", "\n", "\u001b[36mvoid\u001b[39;49;00m \u001b[32mprintFirst\u001b[39;49;00m(\u001b[36mchar\u001b[39;49;00m* data, \u001b[36msize_t\u001b[39;49;00m count) {\n", " std::string first(data, count);\n", " std::cout << first << std::endl;\n", "}\n", "\n", "\u001b[36mvoid\u001b[39;49;00m \u001b[32mprintLast\u001b[39;49;00m(\u001b[36mchar\u001b[39;49;00m* data, \u001b[36msize_t\u001b[39;49;00m count) {\n", " std::string last(data + strlen(data) - count, count);\n", " std::cout << last << std::endl;\n", "}\n", "\n", "\u001b[36mint\u001b[39;49;00m \u001b[32mvalidateAndPerformAction\u001b[39;49;00m(\u001b[36mchar\u001b[39;49;00m* buffer, \u001b[36msize_t\u001b[39;49;00m size) {\n", " \u001b[34mif\u001b[39;49;00m (size < \u001b[34m2\u001b[39;49;00m) {\n", " std::cerr << \u001b[33m\"\u001b[39;49;00m\u001b[33mBuffer is too short.\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << std::endl;\n", " \u001b[34mreturn\u001b[39;49;00m \u001b[34m1\u001b[39;49;00m;\n", " }\n", "\n", " \u001b[36muint8_t\u001b[39;49;00m action = buffer[\u001b[34m0\u001b[39;49;00m];\n", " \u001b[36muint8_t\u001b[39;49;00m count = buffer[\u001b[34m1\u001b[39;49;00m];\n", " \u001b[36mchar\u001b[39;49;00m* data = buffer + \u001b[34m2\u001b[39;49;00m;\n", "\n", " \u001b[34mif\u001b[39;49;00m (!count) {\n", " std::cerr << \u001b[33m\"\u001b[39;49;00m\u001b[33mcount must be non-zero.\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << std::endl;\n", " \u001b[34mreturn\u001b[39;49;00m \u001b[34m1\u001b[39;49;00m;\n", " }\n", "\n", " \u001b[37m// Forgot to check count vs. the length of data here, doh!\u001b[39;49;00m\n", "\n", " \u001b[34mif\u001b[39;49;00m (!action) {\n", " std::cerr << \u001b[33m\"\u001b[39;49;00m\u001b[33mAction can't be zero.\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << std::endl;\n", " \u001b[34mreturn\u001b[39;49;00m \u001b[34m1\u001b[39;49;00m;\n", " } \u001b[34melse\u001b[39;49;00m \u001b[34mif\u001b[39;49;00m (action >= \u001b[34m128\u001b[39;49;00m) {\n", " printLast(data, count);\n", " \u001b[34mreturn\u001b[39;49;00m \u001b[34m0\u001b[39;49;00m;\n", " } \u001b[34melse\u001b[39;49;00m {\n", " printFirst(data, count);\n", " \u001b[34mreturn\u001b[39;49;00m \u001b[34m0\u001b[39;49;00m;\n", " }\n", "}\n", "\n", "\u001b[36mint\u001b[39;49;00m \u001b[32mmain\u001b[39;49;00m(\u001b[36mint\u001b[39;49;00m argc, \u001b[36mchar\u001b[39;49;00m** argv) {\n", " \u001b[34mif\u001b[39;49;00m (argc < \u001b[34m2\u001b[39;49;00m) {\n", " std::cerr << \u001b[33m\"\u001b[39;49;00m\u001b[33mUsage is: \u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << argv[\u001b[34m0\u001b[39;49;00m] << \u001b[33m\"\u001b[39;49;00m\u001b[33m \u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << std::endl;\n", " exit(\u001b[34m1\u001b[39;49;00m);\n", " }\n", "\n", " std::ifstream input(argv[\u001b[34m1\u001b[39;49;00m], std::ifstream::binary);\n", " \u001b[34mif\u001b[39;49;00m (!input) {\n", " std::cerr << \u001b[33m\"\u001b[39;49;00m\u001b[33mError opening file.\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << std::endl;\n", " exit(\u001b[34m1\u001b[39;49;00m);\n", " }\n", "\n", " input.seekg(\u001b[34m0\u001b[39;49;00m, input.end);\n", " \u001b[36mint\u001b[39;49;00m size = input.tellg();\n", " input.seekg(\u001b[34m0\u001b[39;49;00m, input.beg);\n", "\n", " \u001b[34mif\u001b[39;49;00m (size < \u001b[34m0\u001b[39;49;00m) {\n", " std::cerr << \u001b[33m\"\u001b[39;49;00m\u001b[33mError seeking in file.\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << std::endl;\n", " exit(\u001b[34m1\u001b[39;49;00m);\n", " }\n", "\n", " \u001b[36mchar\u001b[39;49;00m* buffer = \u001b[34mnew\u001b[39;49;00m \u001b[36mchar\u001b[39;49;00m[size];\n", " input.read(buffer, size);\n", "\n", " \u001b[34mif\u001b[39;49;00m (!input) {\n", " std::cerr << \u001b[33m\"\u001b[39;49;00m\u001b[33mError while reading file.\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << std::endl;\n", " exit(\u001b[34m1\u001b[39;49;00m);\n", " }\n", "\n", " \u001b[36mint\u001b[39;49;00m ret = validateAndPerformAction(buffer, size);\n", "\n", " \u001b[34mdelete\u001b[39;49;00m[] buffer;\n", " \u001b[34mreturn\u001b[39;49;00m ret;\n", "}\n" ] } ], "source": [ "print_file(\"simply-buggy/out-of-bounds.cpp\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "This program looks way more elaborate compared to the last one, but don't worry, it is not really doing a whole lot:\n", "\n", "* The code in the `main()` function simply reads a file provided on the command line and puts its contents into a buffer that is passed to `validateAndPerformAction()`. \n", "\n", "* That `validateAndPerformAction()` function pulls out two bytes of the buffer (`action` and `count`) and considers the rest `data`. Depending on the value of `action`, it then calls either `printFirst()` or `printLast()`, which prints either the first or the last `count` bytes of `data`. \n", "\n", "If this sounds pointless, that is because it is. The whole idea of this program is that the security check (that `count` is not larger than the length of `data`) is missing in `validateAndPerformAction()` but that the illegal access happens later in either of the two print functions. Hence, we would expect this program to generate at least two (slightly) different crash signatures - one with `printFirst()` and one with `printLast()`." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Let's try it out with very simple fuzzing based on the last Python script." ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "import os\n", "import random\n", "import subprocess\n", "import tempfile\n", "import sys" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Since _FuzzManager_ can have trouble with 8-bit characters in the input, we introduce an `escapelines()` function that converts text to printable ASCII characters." ] }, { "cell_type": "code", "execution_count": 70, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "def isascii(s):\n", " return all([0 <= ord(c) <= 127 for c in s])" ] }, { "cell_type": "code", "execution_count": 71, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "isascii('Hello,')" ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "def escapelines(bytes):\n", " def ascii_chr(byte):\n", " if 0 <= byte <= 127:\n", " return chr(byte)\n", " return r\"\\x%02x\" % byte\n", "\n", " def unicode_escape(line):\n", " ret = \"\".join(map(ascii_chr, line))\n", " assert isascii(ret)\n", " return ret\n", "\n", " return [unicode_escape(line) for line in bytes.splitlines()]" ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "['Hello,', 'world!']" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "escapelines(b\"Hello,\\nworld!\")" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "['abc\\\\xffABC']" ] }, "execution_count": 74, "metadata": {}, "output_type": "execute_result" } ], "source": [ "escapelines(b\"abc\\xffABC\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Now to the actual script. As above, we set up a collector that collects and sends crash info whenever a crash occurs." ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 (Crash) 1 2 (Crash) 3 4 5 6 7 8 (Crash) 9 10 11 12 (Crash) 13 14 (Crash) 15 16 17 18 19 \n", "Done, submitted 5 crashes after 20 runs.\n" ] } ], "source": [ "cmd = [\"simply-buggy/out-of-bounds\"]\n", "\n", "# Connect to crash server\n", "collector = Collector()\n", "\n", "random.seed(2048)\n", "\n", "crash_count = 0\n", "TRIALS = 20\n", "\n", "for itnum in range(0, TRIALS):\n", " rand_len = random.randint(1, 1024)\n", " rand_data = bytes([random.randrange(0, 256) for i in range(rand_len)])\n", "\n", " (fd, current_file) = tempfile.mkstemp(prefix=\"fuzztest\", text=True)\n", " os.write(fd, rand_data)\n", " os.close(fd)\n", " \n", " current_cmd = []\n", " current_cmd.extend(cmd)\n", " current_cmd.append(current_file)\n", " \n", " result = subprocess.run(current_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n", " stdout = [] # escapelines(result.stdout)\n", " stderr = escapelines(result.stderr)\n", " crashed = False\n", "\n", " for line in stderr:\n", " if \"ERROR: AddressSanitizer\" in line:\n", " crashed = True\n", " break\n", " \n", " print(itnum, end=\" \")\n", "\n", " if crashed:\n", " sys.stdout.write(\"(Crash) \")\n", " \n", " # This reads the simple-crash.fuzzmanagerconf file\n", " configuration = ProgramConfiguration.fromBinary(cmd[0])\n", "\n", " # This reads and parses our ASan trace into a more generic format,\n", " # returning us a generic \"CrashInfo\" object that we can inspect\n", " # and/or submit to the server.\n", " crashInfo = CrashInfo.fromRawCrashData(stdout, stderr, configuration)\n", "\n", " # Submit the crash\n", " collector.submit(crashInfo, testCase = current_file)\n", " \n", " crash_count += 1\n", " \n", " os.remove(current_file)\n", "\n", "print(\"\")\n", "print(\"Done, submitted %d crashes after %d runs.\" % (crash_count, TRIALS))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "If you run this script, you will see its progress and notice that it produces quite a few crashes. And indeed, if you visit the [FuzzManager crashes page](http://127.0.0.1:8000/crashmanager/crashes/), you will notice a variety of crashes that have accumulated:" ] }, { "cell_type": "code", "execution_count": 76, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "gui_driver.get(fuzzmanager_url + \"/crashmanager/crashes\")" ] }, { "cell_type": "code", "execution_count": 77, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": 77, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Pick the first crash and create a bucket for it, like you did the last time. After saving, you will notice that not all of your crashes went into the bucket. The reason is that our program created several different stacks that are somewhat similar but not exactly identical. This is a common problem when fuzzing real world applications." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Fortunately, there is an easy way to deal with this. While on the bucket page, hit the *Optimize* button for the bucket. FuzzManager will then automatically propose you to change your signature. Accept the change by hitting `Edit with Changes` and then `Save`. Repeat these steps until all crashes are part of the bucket. After 3 to 4 iterations, your signature will likely look like this:" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "```json\n", "{\n", " \"symptoms\": [\n", " {\n", " \"type\": \"output\",\n", " \"src\": \"stderr\",\n", " \"value\": \"/ERROR: AddressSanitizer: heap-buffer-overflow/\"\n", " },\n", " {\n", " \"type\": \"stackFrames\",\n", " \"functionNames\": [\n", " \"?\",\n", " \"?\",\n", " \"?\",\n", " \"validateAndPerformAction\",\n", " \"main\",\n", " \"__libc_start_main\",\n", " \"_start\"\n", " ]\n", " },\n", " {\n", " \"type\": \"crashAddress\",\n", " \"address\": \"> 0xFF\"\n", " }\n", " ]\n", "}\n", "```" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "As you can see in the `stackFrames` signature symptom, the `validateAndPerformAction` function is still present in the stack frame, because this function is common across all stack traces in all crashes; in fact, this is where the bug lives. But the lower stack parts have been generalized into arbitrary functions (`?`) because they vary across the set of submitted crashes." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "The `Optimize` function is designed to automate this process as much as possible: It attempts to broaden the signature by fitting it to untriaged crashes and then checks if the modified signature would touch other existing buckets. This works with the assumption that other buckets are indeed other bugs, i.e. if you had created two buckets from your crashes first, optimizing would not work anymore. Also, if the existing bucket data is sparse and you have a lot of untriaged crashes, the algorithm could propose changes that include crashes of different bugs in the same bucket. There is no way to fully automatically detect and prevent this, hence the process is semi-automated and requires you to review all proposed changes." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Collecting Code Coverage\n", "\n", "In the [chapter on coverage](Coverage.ipynb), we have seen how measuring code coverage can be beneficial to assess fuzzer performance. Holes in code coverage can reveal particularly hard-to-reach locations as well as bugs in the fuzzer itself. Because this is an important part of the overall fuzzing operations, FuzzManager supports visualizing _per-fuzzing code coverage_ of repositories – that is, we can interactively _inspect_ which code was covered during fuzzing, and which was not." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "To illustrate coverage collection and visualization in _FuzzManager_, we take a look at a another simple C++ program, the `maze` example:" ] }, { "cell_type": "code", "execution_count": 78, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[37m/*\u001b[39;49;00m\n", "\u001b[37m * maze - A simple constant maze that crashes at some point.\u001b[39;49;00m\n", "\u001b[37m *\u001b[39;49;00m\n", "\u001b[37m * WARNING: This program neither makes sense nor should you code like it is\u001b[39;49;00m\n", "\u001b[37m * done in this program. It is purely for demo purposes and uses\u001b[39;49;00m\n", "\u001b[37m * bad and meaningless coding habits on purpose.\u001b[39;49;00m\n", "\u001b[37m */\u001b[39;49;00m\n", "\n", "\u001b[36m#\u001b[39;49;00m\u001b[36minclude\u001b[39;49;00m \u001b[37m\u001b[39;49;00m\u001b[36m\u001b[39;49;00m\n", "\u001b[36m#\u001b[39;49;00m\u001b[36minclude\u001b[39;49;00m \u001b[37m\u001b[39;49;00m\u001b[36m\u001b[39;49;00m\n", "\n", "\u001b[36mint\u001b[39;49;00m \u001b[32mboom\u001b[39;49;00m() {\n", " \u001b[36mint\u001b[39;49;00m* p = (\u001b[36mint\u001b[39;49;00m*)\u001b[34m0x1\u001b[39;49;00m;\n", " *p = \u001b[34m0xDEADBEEF\u001b[39;49;00m;\n", " \u001b[34mreturn\u001b[39;49;00m *p;\n", "}\n", "\n", "\u001b[36mint\u001b[39;49;00m \u001b[32mmain\u001b[39;49;00m(\u001b[36mint\u001b[39;49;00m argc, \u001b[36mchar\u001b[39;49;00m** argv) {\n", " \u001b[34mif\u001b[39;49;00m (argc != \u001b[34m5\u001b[39;49;00m) {\n", " std::cerr << \u001b[33m\"\u001b[39;49;00m\u001b[33mAll I'm asking for is four numbers...\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << std::endl;\n", " \u001b[34mreturn\u001b[39;49;00m \u001b[34m1\u001b[39;49;00m;\n", " }\n", "\n", " \u001b[36mint\u001b[39;49;00m num1 = atoi(argv[\u001b[34m1\u001b[39;49;00m]);\n", " \u001b[34mif\u001b[39;49;00m (num1 > \u001b[34m0\u001b[39;49;00m) {\n", " \u001b[36mint\u001b[39;49;00m num2 = atoi(argv[\u001b[34m2\u001b[39;49;00m]);\n", " \u001b[34mif\u001b[39;49;00m (num1 > \u001b[34m2040109464\u001b[39;49;00m) {\n", " \u001b[34mif\u001b[39;49;00m (num2 < \u001b[34m0\u001b[39;49;00m) {\n", " std::cerr << \u001b[33m\"\u001b[39;49;00m\u001b[33mYou found secret 1\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << std::endl;\n", " \u001b[34mreturn\u001b[39;49;00m \u001b[34m0\u001b[39;49;00m;\n", " }\n", " } \u001b[34melse\u001b[39;49;00m {\n", " \u001b[34mif\u001b[39;49;00m ((\u001b[36munsigned\u001b[39;49;00m \u001b[36mint\u001b[39;49;00m)num2 == \u001b[34m3735928559\u001b[39;49;00m) {\n", " \u001b[36munsigned\u001b[39;49;00m \u001b[36mint\u001b[39;49;00m num3 = atoi(argv[\u001b[34m3\u001b[39;49;00m]);\n", " \u001b[34mif\u001b[39;49;00m (num3 == \u001b[34m3405695742\u001b[39;49;00m) {\n", " \u001b[36mint\u001b[39;49;00m num4 = atoi(argv[\u001b[34m4\u001b[39;49;00m]);\n", " \u001b[34mif\u001b[39;49;00m (num4 == \u001b[34m1111638594\u001b[39;49;00m) {\n", " std::cerr << \u001b[33m\"\u001b[39;49;00m\u001b[33mYou found secret 2\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m << std::endl;\n", " boom();\n", " \u001b[34mreturn\u001b[39;49;00m \u001b[34m0\u001b[39;49;00m;\n", " }\n", " }\n", " }\n", " }\n", " }\n", "\n", " \u001b[34mreturn\u001b[39;49;00m \u001b[34m0\u001b[39;49;00m;\n", "}\n" ] } ], "source": [ "print_file(\"simply-buggy/maze.cpp\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "As you can see, all this program does is read some numbers from the command line, compare them to some magical constants and arbitrary criteria, and if everything works out, you reach one of the two secrets in the program. Reaching one of these secrets also triggers a failure." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Before we start to work on this program, we recompile the programs with coverage support. In order to emit code coverage with either Clang or GCC, programs typically need to be built and linked with special `CFLAGS` like `--coverage`. In our case, the Makefile does this for us:" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "rm -f ./maze ./out-of-bounds ./simple-crash\r\n", "clang++ -fsanitize=address -g --coverage -o maze maze.cpp\r\n", "clang++ -fsanitize=address -g --coverage -o out-of-bounds out-of-bounds.cpp\r\n", "clang++ -fsanitize=address -g --coverage -o simple-crash simple-crash.cpp\r\n" ] } ], "source": [ "!(cd simply-buggy && make clean && make coverage)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Also, if we want to use FuzzManager to look at our code, we need to do the initial repository setup (essentially giving the server its own working copy of our _git_ repository to pull the source from). Normally, the client and server run on different machines, so this involves checking out the repository on the server and telling it where to find it (and what version control system it uses):" ] }, { "cell_type": "code", "execution_count": 80, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cloning into '/Users/zeller/simply-buggy-server'...\r\n", "remote: Enumerating objects: 22, done.\u001b[K\r\n", "remote: Counting objects: 100% (22/22), done.\u001b[K\r\n", "remote: Compressing objects: 100% (16/16), done.\u001b[K\r\n", "remote: Total 22 (delta 9), reused 15 (delta 6), pack-reused 0\u001b[K\r\n", "Unpacking objects: 100% (22/22), done.\r\n" ] } ], "source": [ "!git clone https://github.com/choller/simply-buggy $HOME/simply-buggy-server " ] }, { "cell_type": "code", "execution_count": 81, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Successfully created repository 'simply-buggy' with provider 'GITSourceCodeProvider' located at /Users/zeller/simply-buggy-server\r\n" ] } ], "source": [ "!python3 FuzzManager/server/manage.py setup_repository simply-buggy GITSourceCodeProvider $HOME/simply-buggy-server" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We now assume that we know some of the magic constants (like in practice, we sometimes know some things about the target, but might miss a detail) and we fuzz the program with that:" ] }, { "cell_type": "code", "execution_count": 82, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "import random\n", "import subprocess" ] }, { "cell_type": "code", "execution_count": 83, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "You found secret 1\n", "You found secret 1\n", "You found secret 1\n", "You found secret 1\n", "You found secret 1\n", "Done!\n" ] } ], "source": [ "random.seed(0)\n", "cmd = [\"simply-buggy/maze\"]\n", "\n", "constants = [3735928559, 1111638594]; \n", "\n", "TRIALS = 1000\n", "\n", "for itnum in range(0, TRIALS):\n", " current_cmd = []\n", " current_cmd.extend(cmd)\n", " \n", " for _ in range(0,4):\n", " if random.randint(0, 9) < 3:\n", " current_cmd.append(str(constants[random.randint(0, len(constants) - 1)]))\n", " else:\n", " current_cmd.append(str(random.randint(-2147483647, 2147483647)))\n", " \n", " result = subprocess.run(current_cmd, stderr=subprocess.PIPE)\n", " stderr = result.stderr.decode().splitlines()\n", " crashed = False\n", " \n", " if stderr and \"secret\" in stderr[0]:\n", " print(stderr[0])\n", "\n", " for line in stderr:\n", " if \"ERROR: AddressSanitizer\" in line:\n", " crashed = True\n", " break\n", "\n", " if crashed:\n", " print(\"Found the bug!\")\n", " break\n", "\n", "print(\"Done!\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "As you can see, with 1000 runs we found secret 1 a few times, but secret 2 (and the crash) are still missing. In order to determine how to improve this, we are now going to look at the _coverage data._" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We use Mozilla's `grcov` tool to capture graphical coverage information." ] }, { "cell_type": "code", "execution_count": 84, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "!export PATH=$HOME/.cargo/bin:$PATH; grcov simply-buggy/ -t coveralls+ --commit-sha $(cd simply-buggy && git rev-parse HEAD) --token NONE -p `pwd`/simply-buggy/ > coverage.json" ] }, { "cell_type": "code", "execution_count": 85, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "!python3 -mCovReporter --repository simply-buggy --description \"Test1\" --submit coverage.json" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We can now go to the [FuzzManager coverage page](http://127.0.0.1:8000/covmanager/) to take a look at our source code and its coverage." ] }, { "cell_type": "code", "execution_count": 86, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "gui_driver.get(fuzzmanager_url + \"/covmanager\")" ] }, { "cell_type": "code", "execution_count": 87, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/png": 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cv35dX3zxRcwHTbS0tOjo0aP617/+lfJtSQhxV2ItIPl8PmVnZ4cVlNx4pQMKSO7NcO3tnXfe0eTJk8O+u1mPzZ49O+7rQwHJ2xntmOGll15ytL3XXnst5X9DcM6cOaMTJ06Mqd+1zl7//PPPw7ZR6NiDEEIIiRQKSC4SrwKS9VhbW5ujoOD1SzmMtN3u3btnb4usrCzH8leuXNEPP/wg0zRVUVGhvLw8bd26VXV1dSosLFRWVpbOnj0r0xw6hfyjjz7SjBkzlJWVpTlz5oRdVuHKlSvauXOn5syZo5dfflnz5s3TiRMn7HsTNTY26v3337fXJycnR3l5eTp8+LD9HJWVlZo7d66ysrKUk5Oj9evXq6mpyfE6J0+e1GuvvaYpU6Zo+fLl2rBhAwUk4umMZjB47949tbe3a+3atfZjx48ft5ft7OzUvn37lJeXp8mTJ+u1117T559/bl9+7KefflJeXp7efPNN3bt3T0uWLFF2drb+8pe/2P1BcL744gu9+eabysrK0ty5c7Vv3z7Htcrb2tp06NAhLV68WNnZ2ZozZ462b9+ua9eu2euel5end999V6Zpqq6uTrm5ufa65+XlKS8vT1euXIn5Na3nLC8v1zfffKM5c+Zo8uTJKi4utp/Pen3THLrcmfV4ZWVlyt9vNyTWApL3OfVNAAAgAElEQVS17y0rK7MfW7JkSUztrbW1VX/961+Vl5enzz77zPEaa9asUV5engoKCmSapt59913l5eVp586d9jJnzpzRhx9+qKlTp2rmzJn6+OOPVVFRIdP8Y5+Wl5fn+Fus/dv06dM1ffp0rV69WlevXnX83Xl5eZo3b54ePHigwsJCTZkyRa+88orrjswlhIwtsRaQrP6ns7PTnog0DEPV1dUyzej7mkePHqmtrU2VlZX6xz/+oZkzZ2ry5Mlavny5Yx8z2v7mm2++0bx585Sdna0ZM2Zo7dq1+vbbb2WafxSQCgsLVVRUpFdeecX+nuz1g+ncnlgPfPjTn/5knz0e6edVVVX2+//aa6+pqKgo4nOP9B0pUgHp2rVr+uSTT5Sbm6tp06bp/fffd4zhSPpktGMG0zRVX1+vvLw8+/FDhw7Zy480boil/XR2durAgQN2u3zzzTdVVFSkuro6ux9855131NraqvXr12vq1KnatGmT/bO8vLyw73fvv/++qqurNWfOHGVlZWnevHn2wamdnZ364osvHIWyvLw8rV692t4GwWMPKyN9xqzX3rRpky5evGi/9syZM3Xq1KmUv/eEEELiHwpILhLvApKV6dOn2z/z8k20R9puJSUl9nbYsWNH1OUOHTpkH/FvnZ1kGIYqKyvV1NTkeCw4J0+etJ8jPz8/4jJWEW/Tpk0Rf/7RRx/JNE0dOHAg4s+nTJliD6JPnjw57KUeUv1+EJKIjGUwePz48YgFJOuyDaFZvny5TNPUDz/8YD8WemaJYRg6f/78iM/1zjvv2P3umjVrIi6zfft2mWb4RMbMmTMjLm8Vr2J5Tes5g/cDhmHo8uXL9v9bg0jTNFVQUGA//uDBg5S/327IaAtI9+/fj1hAGqm9WRMWfr/fnuCqr6+3l3vvvfdkmuFH158+fTri8+bl5ck0/9inGcYfZ7tevXo14qWpfD6ffXmTkdr/iRMnUv7eEELGl9EWkH755Re99tprdj9gHQkfbV/T3t6u5ubmiH1I8OTsaPqb4KsJBGf//v0yzT/6yEix+lHizvZmZbgC0ueffx7xvc3Oznbc528035Gs71337t2LuG/0+/2uPNuOjK+9RRozmObQdy+rHQSfhTTS97hY2s+CBQsiPkdNTY2jHww+gGz9+vWOn33xxRcyTef3u9DX9fv9evTokc6fPx/x9V555ZWInwHTjO0zZr12tMucMoYghBDvhQKSiySqgLRu3Tr7Z7W1tSlvdIlszMP9PPgsBOuIyUgJ/jJmGENnK73//vu6e/euo/Bz9OhR3b59WzNmzJBhGHrppZfs57h69arWrFmj8vJy3bp1y17GGkzfvXvX8b6cOHFC58+f171799TQ0GB/GZsxY4Zu376to0ePhg22s7OzHV8sN27c6PgSl+r3g5BEZDSDwa1bt2rFihX2pSINw9CjR49kmqZjQGV9voPPCqytrXUM1nw+n3bt2uX43L755psyzaGj9KzHpk+frkOHDunNN9+0Hzt27JhM07QvjTF58mTdu3dP58+f14oVK+wjokMHcdevX9df/vIX+/XPnz+v8+fPq7GxMebXtJ4zeEBqFaqt+w1Yr9fe3m5P3Lntsh1ubXPB+96CggJ9/PHHmjJliv3Y6dOnY25vX3/9tf1v6+jS4IMJrMJOaAFp8eLF9jLXr1/XtWvXVFRUpH//+98yzcgFpNCJie3bt9vv/csvvyzTdE7oGsbQAQ779++39zNz5sxJ+XtDCBlfRnMPpNDCzoYNG+zlhtvXmKapY8eOqaioSN9++62uXLliP9fMmTNlmrH3N48ePbIf8/v92r17t0pKSlRYWGjv34MLSPPmzdPRo0ftg7/8fr86OjpSvt1f1Iy3gBT8/k+YMEF79+517EsLCwtlmrF/Lwv93hW8vzxw4IDu3LmjgwcP6sCBAynfdiT+7S1aAck0Tb3yyiuOthHL97iR2s8333xj/3zKlCk6fvy4Dh8+rDVr1sg0w/vBjIwMFRYW6l//+teIBaTs7GwdOnRIc+bMsR/bsWOHGhoaHN8v165dq/Pnz9uXrAv9DMT6GQt+7QkTJmjPnj2OA+V2796d8vefEEJIfEMByUUSVUDasmWL/TPr8g5ezEjbLfiSG8OdiRX8hcj6kmTFmnTz+Xzau3ev9u7d6ziSyBq8mqapS5cu6fDhw9q+fbvjVPgff/xRpmnq8OHDYZN6pmnq3//+t2Pga72O9WVuxYoVamtrs5fJz8+3fzd4AJ/q94OQRGQ8N8S1JvNN09Snn35q/2zTpk3au3evPvnkE/uxU6dOOQZrwZd2sAov1n2Jgn/PuhxcU1OT/Zh1ZGLwGUXTp09XSUmJoy+KdBSgVRwIvQdSrK8Z3CdYEyZWgo8w/Pbbb1VRUWH/m7NLYmtzwfve0GzevNl+f2Npb21tbfakqnW0v9Vmgm8eHlpACj6wYcKECdq9e7caGxvt5UMLSO3t7fa/g+8pEXyQRX19vaP9B98j0Dr7gBsuE5L+GU0BKXSfumPHjrAzOSLta0xz6F5slZWV2rdvn7Zu3Wrf52by5MkyTTPm/ib4O/LWrVsjrrPVR1rPbZrOsRD3+nBve7MSrYAUXBgKnqC2znzLysqSaY7+O1KkIoHP59OqVatcfe9MMr72NlwBKfhMS9OM7XvcSO0n+DkizckE94OTJ092jBFGKiB9+eWXMs2hy+Rbjy1YsECmOXTJYuux0HsghX4GYv2MBb+2NWZob2+39xlz585N+ftPCCEkvqGA5CKJKiAtXbrU/lnwqf1ey0jbbeXKlfZ2CC70hCb4C9HFixcdPwu9uWZobt++rcbGRk2dOjXqMtYp3dEKSMGPR8qCBQscXwQ//fRT+3d3797t+LJLiNcymsHgK6+8Yg9kcnNzHcsFn7URKQcOHHAM1oLvNxP8u6H/Dj6y2Zogy8nJkWkOnVEUemmdqVOnqr6+XqY5ugJSrK9pPafP51Nra6vjOZqamuzts2rVKi1ZssRelku1xNbmgve9wTdg9vv9jnttxNLeTNO0j/L0+XyOS+EFX3Y1tIDU2NionJwcx/P5/X57/xVaQLp796797+AzCIIv9Rh6tGvwJIL1nYICEiHpn1gLSHPmzFFNTY1KS0sdZzBeunRJpjn8vqa6ujrqJewinfE4XH8T/B35X//6V8R1tvrI4AL5iRMn7N+7fv16yrf7i5rxFpCC3/9z587Zj1vfXwxj6EoPo/2OFPy964MPPghrp/v27Uv5tiPxb2/DFZCstmIdwBPr97jh2k/wc0S6j2RwP7h58+aoP4tUQAq+h6X1XdQa+4ymgBTrZyz4tYPvpWptN85SJ4QQ74UCkoskooAUfA3f4EuseTEjbbc9e/bY2yj4hpihiXS5HyvWmQd+v19ff/21IyUlJWppaXEcxb169WpVV1c7jlAaqYBUXl5uP/7ee++Fvc6VK1fU0NBgLxN8ltRHH33kmNgmxGsZ7WDw2LFj9r+Li4vt5YIvs/D555+Hfc7u3r3rGKwtXbrU/l1r8swabBUVFdnL1dXVyTRNdXR02H1v8FmCjx8/1p49exzFaOueDKMpIMX6mpGeMzjW5FxWVpY96Rb8t5LR3QPpzp079r/nzZs3qvZmmkOXPw1uc9b/W0VG0wwvIFkpLS21L7livaemGb5PCz6DdfHixfbvBx+hf+XKlYiTFcFthgISIemf0d4DyTRNlZWV2X3Dtm3bZJrD72uC74t06NAh3blzxz66P1IBabj+prS0NOJywYnUR1JAckfGW0C6cOGC/T4ePnzYftxqTz6fT6Y5/u9IV65c0bx58xxFAOsKEiR9MtYCUmVlZdj3pFi/xw3Xfj788MOocwymGb0fjPazSGcBBX/Hs/rA0RSQYv2MRZsvoYBECCHeDQUkF4lXAWnHjh26evWqvvzyS8ck5XBFEy9kpO32008/Oa6bfurUKf3yyy+6fPmy9u/fr5KSEpnm8AWkwsJC+2fl5eX24w8ePNCFCxdkms4bbDY1Nam5udkxeLYKSKdOnbIfKysrU3t7u+rr6x1Hh7/22mv2WWMdHR2qqKhQQ0ODTNO0j+acMGGCrl27pjt37igrK4sCEvF0xjIYDB70WBMJwfcVW79+vX0kYFNTk/3ZDh6svfTSS7p69aq++eabsBvrBl/67f3339fDhw+1a9cu+zHrLI9Tp07ZZz+2tLTY92aynmekI2Hr6+v1+PFjNTY2xvyaIxWQIl2CzcuXOo13m4u0P968ebP9mLVfiaW9WQm+h5JhOI+iN83wydFvvvnGbtemaWr27NmO/UCkfZo1OZeRkaELFy6opqbG8bpNTU0UkAh5ARJrAWnu3Lm6c+eOzpw54zgDyer3htvXWH3WtGnTZJqm4+zK0RaQampq7OX+9Kc/6fbt22ptbVVJSYn9PZwCknsz3gJSc3Oz/T7OmDFDdXV1qqiosNupdWbRWL8j3bp1yz6rzjSdV3aw2hdJn4xmzHDhwgVdvHhR27Ztc1y607rkZSzf40ZqP/v377f/vXTpUv3yyy969OiRduzYoYcPH46rgJSXl6d79+452vmWLVtkmqZ++eUX+7HVq1c7tk3oZyDWzxgFJEIIefFCAclF4lVAipQX4YjyWAYl27dvj7qNrOthD1dAunv3ruNLZUZGhl2ks671W1JSYv98woQJYdePtwpIwdcotmId5RR8s0rDGLo0kvU81hfZ9evXD/uep/r9ICQRGUsBKfiskNzcXHV2dqq9vd0xYe7z+exBjzVRFXoz29BYxYG2tjbHtdKD4/f77SKwNamVlZXlKPZalyeLNAF35syZsOc8fPhwzK85UgHJNP84s9Lqa1L9Hrstoy0gtbW12e+v3+/Xzz//HFN7sxI84WAYhkpLSx0/D50ctd7jl156yXH5VOsI60j7tODJtdBYl0WlgESI9zPWeyAZxlBBKPQeSJH2NcuXL7d/5+WXX3Y8x2gLSKZpOu4rGhzrHiAUkNyb8RaQTNN5f6PQVFVVyTRj/14W2m6t/aXf79e0adPs9p+RkeG4tyBJj4z1vqlWgg++jeV73Ejtp7GxMerlPEOvfDDaAlJofD6ffvjhB/v3gw9m9fl89pVpIvXdsXzGKCARQsiLFwpILhJrASn4EjfWhFXwY9YXg+zsbM2dO/eFOZo81kFJSUmJ/eUmeBBsDTyHKyCZ5tC13EPvN2HdTNg0h84seOeddxxfGs+ePWufbRC8nlu2bHF8kbSOiGtra9PmzZvDvmROmzbNLkC1tLRowYIFjonf4OJVqt8PQhKRkT7nO3futD8D1mfFNJ2XM7GuRf7zzz9HvKa5demx4MHaggUL7M+j3+9XUVGR43Wbmpr0zjvvOD6zOTk5qqmpsZd58803w17r3XffVXt7u0wz8iCutbXVcVaj3+9XWVlZzK8ZSwEp+IjIaDclf5EzXJuLtD82TeeNuK32NFJ7s/Lw4UP7ZxkZGXb7sBI6ORrctq3k5ubal1MJ3qfV1tbaz3Pq1ClHwcnv92vbtm32/SIoIBHi/YylgPTSSy9pyZIljks+DbevqampcUzmT5s2zb5cs3XQwmj6m/r6+rDLQ02YMMEe71BAcm9iHatZ4yzrrLXQbNq0yVGMfPnll3X69GnHMmP5jnT27NmwsdfLL78c9X5bxN0ZzZjB6memT5+uZcuWOS5JZ2Wk73GxtJ/q6mpHMcdq548ePYq5gHTw4EGZpvP73bJlyxyvGXrwUWlpqePgtZkzZ8o0o/fdI33GKCARQsiLFwpILhJrAYlEb8yjWb6lpUV1dXWOm6uOJm1tbfrhhx/0888/20dgBqepqSmmdbKeJ9p6WJe1e/z4ccSfx/o6hHghiWjrnZ2dunfvnu7fv++4qW2kgdy9e/dG7DPu3r0bdhNxK42Njbpz547u3r0bVhgYLg0NDbp///6YXnOkrFixImLRjSSmzUVrb+OJtR+5c+eOmpubR/W7DQ0NvO+EvKBJ5vfH+vr6uJ7F0d7errt37+qnn36K+D2cuC/xbm8//vijfWnv4TKa70jWPvr27dv2ZYdJeiZR/dtw3+NibT/Nzc364YcfxtXGIt3jcqTvc3V1dWppaYn5NWL9jBFCCPF+KCC5CAWk8TfmVK8DISSxSebnfLgjAdM97e3tOnz4sOOmwNZlPIkz7FsIIV4N/RtJZmhvJJnxensb6aophBBCSDxDAclFKCCNvzGneh0IIYkNBaT45NGjR47LZ0yePHnUZ668KGHfQgjxaujfSDJDeyPJjNfbGwUkQgghyQwFJBehgDT+xpzqdSCEJDbJ/Jw/ePBAOTk5ysnJse875JU8fvxYf/3rXzVnzhwdPHhQ9fX1KV8nt4Z9CyHEq6F/I8kM7Y0kM15vb+Xl5fY4ZbjLXBNCCCHxCAUkF6GANP7GnOp1IIQkNnzOSbJDmyOEeDX0bySZob2RZIb2RgghhMQvFJBchALS+BtzqteBEJLY8DknyQ5tjhDi1dC/kWSG9kaSGdobIYQQEr9QQHIRCkjjb8ypXgdCSGLD55wkO7Q5QohXQ/9GkhnaG0lmaG+EEEJI/EIByUUoII2/Mad6HQghiQ2fc5Ls0OYIIV4N/RtJZmhvJJmhvRFCCCHxCwUkF6GANP7GnOp1IIQkNnzOSbJDmyOEeDX0bySZob2RZIb2RgghhMQvFJBchALS+BtzqteBEJLY8DknyQ5tjhDi1dC/kWSG9kaSGdobIYQQEr9QQHKR4AISIYQQQgghhBBCCCGEEEJIKkMBySWCC0gYPbYb4H18zpFstDkAXkX/hmSivSGZaG8AAMQPBSQXoYA0Pmw3wPv4nCPZaHMAvIr+DclEe0My0d4AAIgfCkguQgFpfNhugPfxOUey0eYAeBX9G5KJ9oZkor0BABA/FJBchALS+LDdAO/jc45ko80B8Cr6NyQT7Q3JRHsDACB+KCC5CAWk8WG7Ad7H5xzJRpsD4FX0b0gm2huSifYGAED8UEByEQpI48N2A7yPzzmSjTYHwKvo35BMtDckE+0NAID4oYDkIhSQxoftBngfn3MkG20OgFfRvyGZaG9IJtobAADxQwHJRSggjQ/bDfA+PudINtocAK+if0My0d6QTLQ3AADihwKSi1BAGh+2G+B9fM6RbLQ5AF5F/4Zkor0hmWhvAADEDwUkF6GAND5sN8D7+Jwj2WhzALyK/g3JRHtDMtHeAACIHwpILkIBaXzYboD3pdvn/FlPvwYGx76DHRgM6FlPv8bxFBindGtzo/HkyZNUr4Kn9ff3q7+/f8y/z/vjPgMDA/r1118lSX19feN6f93Ay/0b3Gc07S3d+7/BwUH19PQkdZLFC31SPNG/AQAQPxSQXGQsBaTbDb9qX9WP45qg9IpYttv58+dVUVHhyNWrVyMu29zcrIqKCnV3d0uSHj58qNLSUu3fv19VVVUaGBiI+HuBQEAXLlzQjz/+OOy6XLp0SbW1tfa/b926pSNHjujgwYO6efNmxN+5e/euDh8+rOPHj6uhoSHqczc0NKiyslKDg4MRf37t2jV98cUXqqysVFdX17DrGUlnZ6cqKyu1d+9elZaW2pMpwQYGBnTlyhXt27dP5eXlMQ0EY3ley61bt1RdXT2q9Q4EAnrw4IGOHTumr776SrW1terr67N/3t/fb7eL58+fR3yOwcFBVVZWqqKiQj09PXr48GFYmwpOZWVl1LYSyWi2wYtovIPBOXuv6NydljitzciM98q1/KuaMf9+SXWDjPfKVVWbvHWGUyxtzjRN/fOf/1RZWZmePn0a9vMnT57o/PnzKi4u1sWLF9Xb2xu2TCx9ZmNjo8rLy1VcXKzvv/8+6pe3+vp6ffnll7p06ZKjj7OcOnVKU6ZMkWEYysjIiLhvtHLjxo2Ir9HQ0KCTJ0+qubl5pM0TZnBwUDdv3tTBgwdVW1sb9e8YaX860n7z+++/j6lPjmX/O5b9ZkFBgaZOnep47NmzZzp37pz27Nmjb7/9NmJbCH1/Yt2H/P7776qoqFBnZ6fj8YsXL8b0/vb09Ojy5csqLi7W8ePH9ejRo5he1/L48eNh94eh+7OR3t9Y2klnZ6dKS0t18ODBEb93SdKZM2d07ty5iD978uSJLl68qP379+uLL75wvM+BQECffvqpMjIyZBiGFixYoNzcXOXn54/4muPV19enq1ev6vDhwyotLY36fWqkfigSJliRTLG0t7H2f2PV1tam1atXx71gdfXqVRmG4RjrJVpubq7mz5+ftNdzu+Ha282bN4fdX412jDlWI43ZAQBwCwpILjLaAtLucw9kvFcu471yPevmaKNYtpthGGHJzs6OuOzy5cvl9/v122+/aenSpTIMQz6fT36/3/69Z8+eOX7n119/VX5+vgzD0IYNG6KuR0tLiwzD0MGDB/Xw4UPl5ubaAyWfzyfDMFRQUOD4nT179tjrYC1TUVER9txnz561f24VvyyDg4NasGBB2Da4fv36iNvOsm/fPvv5MzMz7XW6ffu2vUxfX5/mzp0rwzDs7ZWRkaGff/55XM9r/Q2bNm2SYRiaNm1azOu9e/du+/mt/1qxBgm//fab/djx48cjPs/FixftZerr61VcXByxXQUn1kFprNvgRTaeya4nXX0y3ivXguLkDAqloQLSsqMUkNLZcG1uYGBA8+fPt/s6q79bsmSJvcyBAwfsz/XEiRPtfmH79u32MiP1mf39/SosLLT7BOt5/H6/Lly4YD9PV1eXPfFmLePz+XT06FF7mf7+fvl8Pi1cuFC3b99WdXW1Y71Ck5eXF/Z39/X1KTs7W4ZhqKqqalTbs7a21v4bJ02aZP+tof3ccPvTWPebb7zxxrB9cizPM579ZkFBgaZMmWL/u7m52fE3G4ahmTNnOgoVkd6fWDx48MB+7vPnzzt+Fsv7e/HiRXu/Y/3XMAxH2xnJ119/Pey+sKbmj75wpO9LsbSTq1evhu3XZ8+eHXVQU1ZWFvW7Q0lJib2eU6ZMUWZmpqM4evv2bRmGoZ07d+r27du6f/9+UgpIly9fdrwv1t85Z84c+0yDWPqhaNxcQDp79uywB0sh/YzU3sba/43HhQsXZBiGrly5EtfnTVUBae7cuUl7Pbcbrr299dZbw+6vos0PjFZ7e7tKSkoi/my4MTsAAG5DAclFYi0g9fYPKn/XdzLeK9f//WEFBaT/MdJ26+7ulmEYKi0tVW9vr51IR2f39PTI5/Np3bp16u/v18KFC1VaWipp6H0qLS2VYRjavHmz/Tu1tbXKzMzUxIkT5fP5hi0g7dq1y57Eam5u1ltvvWVPinR3d2vlypWOwUxDQ4MMw9CqVasUCAQ0MDCgBQsWyOfz2RNP/f39WrdunT35EenL6LFjx2QYhvbu3auenh51dXUpPz9fGRkZMRc5tmzZoq1bt6qnp0eS9OOPP8rn8yk3N9de5sSJEzIMQ+Xl5ZKGjoqdNGmSY5mxPK9pmpo1a5Y9ORprAWnHjh32ZIo1IdTd3a1r167pwIED9tGNwQWknJyciM9lTdJYBSTr/bDi8/m0du1ax2OhDhw4oPr6+jFtgxfdeCe7bj409awnef0lBaT0N1ybq6qqkmEYKi4uljRUbNiwYYMMw7D79MrKSu3cudPuq589e6a8vDwZhqH29nZJsfWZO3bsUGlpqX2UanNzs/x+vyZNmmQvs3nzZsdrd3d3a8aMGfL5fPbvVVdXO5aRhvYfwfvF3t5e/fzzz46/Ldj69evtSerRFpByc3OVmZlpnyHR2toqn8+nt956y15mpP1pLPtNSZo2bZqWL18e9reN5nnGs98MLSAVFBTI5/PZhcGamhoZhqEtW7bYy0R6f0ZifSeZOnVqxAJSLO9vVVWVCgoK1NbWJmnozJ5XX31VhmHY+6SRDA4Ohr1Ob2+vCgoK5Pf77W0fy/elkdpJf3+/MjMzNWXKFN2/f1/S0JndVpEnVHNzs30ATuh3h/LychmGoXXr1kX8TihJW7dudXyOrHVMdAHp4cOHWrlypZqamiQN/d1FRUUyDENlZWWSYuuHonFrASkQCMjv94e1ZaS3kdrbWPq/8RocHNSDBw/iPhlCASn1hmtvg4OD9jitrq5OhmHYZygPDAzE7Yygw4cPh+1zYhmzAwDgNhSQXCTWAtKz7n5lrKzQ1jN3VXS6jgLS/xhpuz1+/FiGYUS9ZF2w06dPyzAMe1IikoyMDC1YsMD+99dff62ZM2fqyZMnmjhx4rAFpKysLL399ttRf15fXy/DMHT48GFJQ4UFwzAcZzxZRaUTJ05IGpr4mjp1qkpLS+0jaUO/jC5YsEB+v99R1Hjy5IkMw9Dp06ejrs9IFi1aJL/fb/87NzdX06dPdyxz/PhxGYZhH026c+dOrVy5clTP++DBA2VlZamurk5LliyJqYBkDUbXrl074rJWAWnhwoUyDCPsjCnTNB0/j1QEsgqPw/H5fKqsrBxxfaTwbfCiG7FQ3DegI5ceas7eK/pT0QV9eOJ7xyXr5uy9otLrjY5/3/rlibaeuasZWy7qjZ2X9dXlXyRJ/7zWoPxd32nW9ks6efWR41Khx7/7Rev+eUd1TU+1oLha//vT81pQXK27j39zrI9VQLrd8Kvm7L2i7x50hK3zwgPV+qwicl9jFZDO3nqsFcduacaWi/r/9lzR2VuPHcvtrfpRS74Mv/TW8q9qVHz+j23W0z+oLy891KztlzRjy0XN2XvFjvXn/dD4VMu/qtH//vS83vw/l+2fbzpdN6a/Id0N1+asvjb4KPnr16/LMAxdvHgx6u8dOXJEhmGorq5OUmx9ZiSLFi2Sz+ez//33v/9dGRkZjmU+++wzGYahrq4u1dTU2Gc6rV69Whs3blRra2vE5161apXjIAXLd999J8Mw7L89tIDU3d2t4uJiFRQUaNWqVfruu+8cP8/MzNTixYsdj82aNUuvvvqq/e/R7E8toftN67WCizOxCH2eWPeb/f39OkSAQkoAACAASURBVHz4sAoKCrR69WpdvnzZUUB6/vy5DMPQxo0bHa9XUFCgzMxMSRr2/ent7dWhQ4e0dOlSLV68WNu2bbMLWIWFhVq7dq39vSCWSfdo72+wo0ePyjAMx6XhGhsbtWvXLi1ZskRLly7V+fPnh73nRltbmwzDecZdLO/vSO3kxx9/lGEYOnDggGOZ1atXKysry/FYIBDQzJkzNX36dH344Ydh3x2mTJmiWbNmRVz//v5+nTt3TtnZ2fL7/dq4caPdpqzJ2hs3bmjDhg1asmSJDh48GPGyhGVlZVq+fLmWLFmir7/+OmzgNdz7G8pqo1bBaKz9kDTyPnXjxo169OiRSktLtWTJEq1Zs0aXLl2SNPT9av369VqxYoW+++67sAnXmpoaffrpp1q8eLHWrVsXNpH+5MkTnT59WsuXL9eHH36okpISNTY2qrOzU2vWrJFhGJo/f742btyokydP2r/3+PFjbd26VYsWLdInn3yihw8fhq1zQ0ODqqurtWrVKhUWFg77NyJ5hmtv0fq/yspK7dmzJ2z5/fv325ejvHHjhjZu3BgW66zHrVu3hv1sx44dkobGU8F9bUNDg/7xj3+ou7tbhw4dUkFBgTZv3qwHDx6ErcPt27ftNr5hwwb7uR89emQXkGpqanTgwAEtWbJEGzZs0K1bt8Kep7W1VZ999pkWLVqktWvXRv3cnj17VqtWrdLixYu1Z8+esMuChhaQurq6VFRUpCNHjkTd7l4Wa4H83r17wx4Qc/PmTa1fv16LFi3S7t27w/ab33//vXbt2qVFixZp586dunTpkvr7+1VVVaVJkybZ+46NGzequbk5pjE7AABuQwHJRcZyD6R/lP5AAel/jLTdamtrwyZConnjjTfC7lsQzLrEwu7duyP+PDMzM+qE1/fffy/DMKJeg1/646hka5CxcOHCiMWSjIwMrVq1KuzxkydPRvwyOmPGjIhn1mRmZqqoqCjq+owkLy9Pb7zxhv1vv9+vjz/+2LHMo0ePZBh/XHbPuiTLcF+YQ583WEFBQUwFpO3bt4cV36KxCkinTp2KeFT0/v375fP59M9//jNpBaThtsGLaKTP+atFF2S8V67/9fE3mrKxSv+xvFz/74Yq++ehZwQZ75Xr/1pxRsZ75Zq87pz+Y/nQZUFnbvtWxnvlylhZoYyVQ2d6vrrpj0uFLTxQLeO9cv3H8nL53j+jKRur7H/fqDfDXs+6fN6Mrd861re85rGM98pVdLou4t9jFZD+8/2hdfx/1p2zL136f/71x2TGzG3f6j/fPxP2+//5/hn9Zcd/2/9+ac2/9B/Ly/WXHf+tKRuq7Oeet/+qBgPSyauPZLxXrkkfndNb/+ey/bqvbrqgw98+HNPfkO6Ga3PW5HhBQYG6urrU1dWlOXPmyOfzRT2TIRAIaNq0acrIyLAnXGPpM0N1dnbaBW2LdfDDoUOHFAgE1NDQoIkTJ9p9yIYNG+yzShYuXKiCggL7zIZgVoEktA98+vSpMjIytHz5crW3t4dNuPz+++/2pe1mzpxpX6YtePLq/2fvzr+jqhK9/z//0+5VfWt13Zv7zU0/kUnEFoJBBjsPjTTyzZcviJAIAiJhBgWkBSEqAqK0ohiLQaQBEUIiMzKPCYRABkIgRcbP80P1PqldQ1KQWMTi/Vrrs5SkclJ1atepyvmcs8+MGTPk8/lUXl4uKTxFlzEm7g5Cqev300jR75tSeFsbWSglI3o5ybxvdnR0eGfHjh071jsTKBAIeAXS5cuX4+6gsmc43bt3L+Hz09jY6K3XkSNHKi8vT36/P2bnYWVlZVIFUqLnN9qHH34on8/nFEQDBgyQz+dTXl6eBg8e7J2dlcjChQu9M67jSfT8djdObJF56NAh5+fs55/I19+6detkjNG1a9dUWFjofHawz4t9ndXV1TmP9/79+5o8ebJ3ttTkyZNVWFgoKbyz1o7xfv36KTs7W8aEp8iLXMbUqVO9I83t2MjPz/e+n+zza82fP985yOVJtkORj78rxnROITh69GjvzMPCwkLvrDf7mCKnfrTbp0AgoAkTJnif+eyZJU1NTcrOzpbf79fEiRM1YsQI+Xw+rV+/XseOHdPYsWO97cjkyZO9MXbmzBlvyqcxY8Z4Z5VFnrFijPGm/MzNzY0pIvH0dDXeEm3/CgsLvZI9UkZGhncgmi3sbexZHd98840kadasWc737UwGUuyZQvbf9jX517/+1Xudb9iwwfv99kzA/Px8TZ8+3RuX8+fP182bN73l2LE/cuRIGWOcs42lcAnl8/kUCASUn5+voUOHyhijxYsXO4/X3u8RI0Zo4sSJ8vv9CgQCTnEcWSA9evRIubm58vv9XU4hns56o0CyZ4gHAgHvfT4rK8srkex7zvDhw5Wfn+8VRs3NzZo/f7439agde9EHBSX6mx0AgL6GAqkPoUDqme7Wm712jd/v9z6ov/baazFHlNk/xKOPao1kr3sT72g0qesdXjNnzpTf7+/yiN1x48bJ7/d7OxeHDx8et0QYMGCAcxaUlejDqN2JEXlxZVusPekf2PbnP/vsM0nhKQHi7QxsbGx0juo+ePCg8wdUd8uNlmyBNHr06Jgy0L7WbOwG0BZIu3bt0tSpU2Oep+zsbE2fPl07dux4rAKpvb1dp06d8mLLR/vvRDvWulsHz6KuXuetbR0yBUFNWO+eZRhq6TxzIF6B5Htrhy5XhwvGxlBr3IJm0KJ/yRQEvbN0bIH0enGZWtvCXzxxvV6mIKghS/bF/X0jVh6UKQiq/mHnDj37tYam+Dv5bIH053l7dPd+eBqpitom/fec3frjWzu8351MgbT3zG2ZgqDW/thZotuSzXpu/o/609s7vX8fOHdHpiCouV+ffuLH8HvX3XvL7t27vZ0LgUBAmZmZ3plFVm1trVatWqVJkyZ570E7d4bXc7LbTCm8o+n999/3ru2TnZ3tHBTR0dHhXSPO7kAbM2aM6uo6S037/pBo57QUPlrbGKPbt92pE+3OkYcPH8YtkOzZsnZnbltbm0aOHCmfz6empiZJ4ZLJ3v8hQ4bIGKNFixYlfE9MtkCKft9sbm6WMZ3XDfT7/Ro6dGi3U+5FLyeZ9007Bj799FPvNrbgsAWS3Zl48uRJ5/ft2bPHObgl3vOzePFiGWN07FjsWYaRki2QEj2/kR4+fOjt/I90584d57myRVI8jY2N8vl8mjFjRsLfk+j57W6c2LPKi4qKvJ9pb2/3zmC4ceOGpM4dg1u2bJGkmALJfjZcuXKlt5M4soyxJk+eHHNNDHv9rMgxZacT/OKLLyR1Pu/r1q3zbmPX/9GjRyUl9/yuX79es2fP9sqcRYsWOd9PZjsUTzIFUiAQ8KY2tNNBR+8Et9P7Rv5BGXkNKXvglS3K4xWAbW1t3vNri73osWxLO3tQkB1jI0eOdO5zvHIRT1934y3e9i+ZAilSU1OTsrKyNGTIkLjvK1u2bHFet4kKpJEjR+r+/fBZ5e3t7crIyPC2Hc3NzfL7/c5BfB9//LFT7MZbTm1trYYOHaqMjAzvrNa//OUvCgQCznvMu+++K2M6z1L+6aefYj4n2Gk9I2e0sAVSa2ur8vLy5PP5ktoOpKueFkgNDQ3y+XzeOpU6Z7awZ7Dl5OQoJyfH+bnIs1ATHQRqUSABAH4vKJD6EAqknuluvT148EDFxcXavn27tm/frunTp3s78iL/yF27dq2MMc4Ot0jHjh2TMSbumT9Woh0izc3N3jVyErHllN25KIWv4xBvTuuhQ4fGLZYSfRi1czwHAgEVFRVp9uzZ3tGk3U0nF09tba13LSL7wfrhw4dxC7jW1ta4O0mTXW60ZAukzMzMmIvAb9y40dvBYI8WlNwCqby8XMZ0nilmj0o/fvz4YxdIduqiRIl39HYy6+BZ1N3rPDBrl/5QGD4b5mFz7PWn4hVIo1f/7NzGnuUT+fNzvz4tUxDUzbrwTnBbIFXVu6+x/5y1S76IIify99kyZtF3v0oKTyf3h8Kgct5LPMWQLZA+iJoezk5feuJ6uHxMpkD6xw8XZQqCzpR+o1f/7BRj/pk7lV30o/f92/dCMgVBTf7s6BM/ht+7ZA5OiLxwfUZGRsz1G27cuKHBgwd7txkyZIi3jX+cbeb333/vHe1vj9KO/F0dHR366KOPnKOeR4wY4V1rSeq+QAqFQvL7/TEHFdgd47YAiVcgDRo0SNnZ2bpy5YqXoqIiZ+dcY2Oj8vPzvfciY4x3vcF4kimQ4r1vdnR06J///Ke2bt2qXbt2acGCBd4ZIonOAI63nGTeN2fPnh23kBk8eLBXINnr1ETvzLPX7bHrNd7zM2jQoKTORE2mQEr0/EayRYzP51NlZWXc29y7d09Xr171ruMQj/08Fe+90kr0/CYzTmxpMXr0aK1YsUJDhw71zgKor69Xc3Oz+vXrp7Fjx3o/E10g2TPA/H6/du/erYsXL3oFz5w5c7zbJSqQoqfLk8KfO+z6tevn5MmT3mti165dMsZo/fr1kpJ7fkeMGKHMzExvfRQXFzuf8ZLZDsWTTIEUuR4keWdSRO4ktdNyRh8Q09HRoTt37ujy5cvKycnxrutWU1MjY8Jna8UreuIVSHZbOXXqVGcbY6/zFnmfu5pFAE9PKgqkwsJC+Xw+r0SOdO3aNRljvLMIpcQF0o4d7meqwsJCb0ppe4Zd5PuzLXFtEWyXEz1FuJ2y7MaNG96BIlOnTnVuc+rUKRnTeT23uXPnyhijW7fc6Yv/+te/OsXt8OHDNX78eO96e3YKv2dVTwsk+769adMmb3tjp0+17yt2G79ixYq4+w4okAAA6YICqQ+hQOqZJ7kQsP2w/+GHH3pf69evn8aNGxf39nbqjLy8vC536ifaIWIv1JzoaDB7zYvI+yOFp9SLNz9/dna2M2WI1dWH0VOnTik/P19/+ctf9Oabb3qFWKLp+BK5d++eBgwYoMzMzJhraBhjtGrVKudr9vpBX3755RMvN1KyBdKIESNidvBUVFRo586d2rlzp1PoRRZIkpSVleX9gTB9+nRvOY9bIEnhncEtLS1qaWmRz+dTMBj0/h15bY3HWQfPou5e5+du3Vd20Y/edHKvF5ep8VHnazVegTR141FnGQMW7tV/zXanDVsePCdTENSNmvAR6bZAijZm9SGZgqB3ZlD07/uv2bv0/7zzgySpeN9lmYKgvjsankLM9+/p4ux9lzoLJHsb68vS8FRz/zwS3kGSTIFUWdckUxBUdtGPKjl2U//44aL+UBjUq//o3Hn36j/C93/h9l/1w+nbynk/PJXf1TsPknoM6airMWeL5nfeeUePHj1SVVWVt0Mn0Xb+5s2b3o7x8+fPS3r8bWZbW5vOnz/vTQFl34/s9Y7s9UKOHz+urKwsBQIBbyqr7gqkDRs2xNz/qqoq+Xw+rVixwvtavALJ7ryPF3vdlBEjRigjI0PHjh1Te3u7tm3bJp/PF3Omi9VdgZTofTMeu9M6+qCC7pbT3fvmuHHj4u7gHD9+vFcgnThxQsYY/fLLL85t7OcCO61NvOfH5/Np5syZ3T6+ZAqkeM9vpI6ODu+sq9LSUud7oVBI77zzjldSGGO85zxaS0uLAoGAU97Ek+j5TWacNDc3a/Xq1RoxYoRGjx6t1atXe+WPFD6K3+/3q7a21vuZ6ALJFh9lZWXO7x85cqTznCYqkOJ9Nos8It2eERUvS5YskZT88yuFpx9cv369jOk84+1JtkNWMgVS9OfD1157Leaabd98842MMaqpCV8jr6Kiwiv4IseJLZCk8JH8dpqw7Oxsbdu2zblf0WPZ7uRNFFtoGWP0/vvvd/m48HT81gWS3eFvzwCM1NbWpiFDhigrK8s7I1ZKXCBFly8LFixwrklqP6fv3btXpaWlGjp0qFNc2uVEb/PtdJyHDx/WuXPn4t7f9vZ2+Xw+r+h67bXXYq5vKElr1qyRMcY7SMSeFWlfU48ePYr5mWdJTwukTz/9NOH2xk5t29LSolmzZnlff/PNN50DUymQAADpggKpD6FA6pknKZDsFDf2A7o94ive9WnOnj3rTZPR3QfyRDtE8vLyvJ1J0ewRafGuRfTmm296c3VbbW1t8vl8zvQt1uN8GLVT8XR1TaZoDQ0NGjx4sDIyMuIenZyZmanp06c7X7Prtqvpg7pbbqRkC6S3335bxpiEy/P7/QkLpNWrV3s79nw+nzcFzZMUSNG3SXQNpMdZB8+iZF/nx67VaeSq8Nk1gxfHn1Iu3r+lcIH033Pc5ydRgRR9lpO9FlKi5S/89zb71I17Grx4n/44o7P0WVJyVvO2nda8bae14NvwjgxbIG066F4kfPY/T8oUBLX3TPiMh0QFkikIOtdAWrHzvFdS/eesXZq84Rfdvte5nWh81Ko/vb3Tu81flu7XlkPXnWV29RjSUVdjburUqcrIyHA+RNkpT959992EP1ddXe3sQH7SbaY9K+jgwYPq6OhQZmZmzEEFdmeV3cZ3VSC1tbUpIyMjZqe4vdaDveZCIBDwSgSfz+eV6xkZGRo6dKgePHgQk46ODq/g2Lp1q7N8O+1evOk8uyqQunrfTCQnJyfmoILHXU70+6a9NkX0gSWR7/lVVVUyxmj79u3ObewZY9HXU4h8fjIyMpSbm9vt/equQEr0/FodHR2aPn16wmXY695s3LjRm5LJTlsYzRZy9hpGicR7fp9knFhjx47VgAEDvKkhjemc1i1yirpAIKAtW7Z4O5yvXXO3sdFnViUqkKKLFCn8uSIvL0+SvGvx1NTUxLwm7HhJ9vm1Ojo6lJWV5e3AfNLtkJRcgRQ5/Z4U3pkdfV2w6AIpKytLPp9PpaWlXrEzfPhwp0CyysrKvOkKN23a5N2v6HF48+ZNGWO0cOHCuNuYru4z+obeLJB8Pp9TINXW1srv98edsUHqnDoy+sy8RAWS/bcVXSBVVFR425OMjAzNnTvXeXx2OQcOuGdof/bZZ97y7fXoli9f7tzGHuxgZ0iwBUX0358zZ8503j+GDx8uv9/vFR/RnyueNT0tkL766ivv69Hbm+jnor6+XmvXrvWmybfbdwokAEC6oEDqQyiQeuZJCiR77QE7dZCdmiZ6J9C5c+fk8/k0ZswYZ8qOROLtELFHaxcXF8fc3u68ijy6O1JJSYmMMc5FUEtLSxPuXHycD6Pjxo1TZmZmzFkwidiCIzMzM+7F16XwH3uRH54lafny5TE7fqJ3dnS33EjJFkgXL16UMeGpBuJdTLqrAsnu5LXXErFHMf9WBdLjroNn0eO+zseuOSxTENSj1vD1THq7QPrqSOcUKW3tHV4xk2j5DU0tMgVB/X39EZmCoP7/De6RqdFsgfR6sXt0/AtL9skUBFXdEP4D9m9rS2Om1Cu/UhtTIP33nN36y7L9CX/flkPXZQqCOnYt/hSeT/IYfu+6GnN2WqnIbVkoFPIumJyILXVWrlwpKfltZjS7Q728vFxtbW3e0a+R7PSb9qykrgokW0hFlwcnT55UcXGxE1sqTZs2zbtOW15enrOtjPbLL7/IGKOvv/7a+XpkWR8tUYHU3ftmPPasrshrRjzJcqLfN1esWBFzxLotayIPGsnKylJ+fr6zrOHDhzvvZfGen9GjR8fdeRituwIp0fMrhd+PbUEUvcPTys7OjjkIxp5BEr2s7OzspN6j4z2/TzJOpM5izxZPn376acy4HTx4sDcF3JkzZ7z3eTudnDVgwACnaExUIPl8Pqe8uHr1qozpvDaTLQjt54p4kn1+LftZxRaBT7odkn6bAsnuFI+crtl+Bo5XIFkDBgzwvm93zkcWrvasjOjnIZn7jL7hSQqkBQsWxLwXXrlyRca402+PHTtWfr8/7jRi9gzQ6DN9pScvkJYsWaLs7GznWmnxlhtdDtkzkO01j+yBF5Hstvqrr76S1Pk+Zc/ktbKyspxyzV4DSZI+/PBDGWOcM/ueNT0tkOyBPF1NWx/NHpRw5Ej4eqyTJ09WVlZWwttTIAEAfi8okPoQCqSe6W69rV+/XitXrlRZWZlOnTqlDz74QJmZmfL7/bp79643tVj0h8Rr165510raunWrdw0lm8gdB1a8HSLr1q1zjs60bBkxePDgmGXbHQ7Nzc0KBAIaMGCADh06pP379ysjI8O5CGukrj6MHj9+XJWVlTp06JC3sy9yfm77h429QHGklpYWDR48WMaEp/mJvr/2CF57zYj8/HwdP37cu8ZA5I6M0aNHKysrS+3t7UkvN1KyBZLUefR8dna2Nm/erLKyMpWVlWnbtm3OTo7oAknqnF88codjTwuk0tLSmB2sT7IOnkVdvc7bO6SXV/ykLYeu61TFPf3zyA396e3E1ySK92/p8QqkP761Q29uPqY9p28rd8VPzvWBEi3fnhllCoK6UHW/y8drCyRTEJ5qbueJW1rw7RmZgqBeiiiCPth1IXzG0LL9Ch6/pVlbT8o/c2dMgeSfuVP/MWOH/ra2VBOKy/TWFyecsmj17s7lTCgu0+vFZfpk/xVnGsDHfQy/d12NObtzeM6cOTp+/LiOHDmiSZMmyRijCxfC163Kz8/XZ599phMnTujUqVMqLi72pp6z29nutpk1NTUaP368SkpKdPbsWZWWlmr58uXegQ2W3aZ//PHHunjxonbu3KkhQ4YoEAh4Bz90VSDZnebJfCiMN4Wd3UnXr18/bdiwQaWlpSouLvbeVx8+fCi/36+srCx98803unTpkj7//HP5/f7HmsIumffNQ4cOacaMGTpw4IDOnTunzZs3a+jQoTKmc7qyZJYjdf++aUuIoUOH6vjx49q9e7d3RkVk4WKnj1u9erVOnjzpXR8qcprCeM+PvU7S+PHjdeTIER04cEArVqyIKRe7K5C6en7nzJnjFZDR6+Lo0fA0n++88473nJeWlnpnK0UXSHZ64Ohrf8QT7/lNdpxUV1fr8uXLOn/+vD777DP5fD4NGjQo7sEiVvQUdpK8x2HHrC3SIkuIRAWSMeFrmn3zzTc6ceKEd30ge/2VxsZG79pES5YsUVlZmbZu3arCwkJvitqunt+VK1dq+fLlKisr0/nz5/XVV195Y8sWlslshxL5rc5AGjBggAYMGKBffvlFO3bs0IgRI5wC6cKFC1q6dKmOHz+uiooK77pQkWdM2DOzLly44B1UY6+rNWbMGG3fvl0HDhzQypUrtWHDhi7vM/qGJymQvv/+e+/98NixY9qwYYN3PTtbIH3++edeEXzp0iUvtbW1ampqUmZmpjIzM3XhwgXn+9KTF0gzZ870/m5ctmyZ1q1bp7Nnz3rbV7sc+3fG8ePHvTMz33jjDW85dhrNlStX6sKFC9q/f793f+22rKGhQdnZ2erXr59KS0t17tw5r1jbsmWLt6zIAqmjo8Mrp+1jfdb0tECS5G1v33zzTR04cEDBYFDz58/XTz/9JCl8AMn333+vq1evetPdRh7oYM9i2rZtmyoqKmIKRwokAMDvBQVSH9KjAukRBVJ36+3rr7/2LipuM3LkSF28eFFS59lI0X8w2OsTJIr9+UgZGRlauHCh87VBgwbFvRaAnWItXiL/ULl69ap3Jozd4ZXoKFz7YTTe0ayRyx88eHDMvP/Z2dkJjxC1R28nSuQf8Hv27HGmi3n99dedD8f9+vWTz+dTS0vLYy3Xmjx5ctypYxLZs2ePs/5sIufdf/DggYxxpzDcuXNnzA65rgokv98fd1rB7jzJOngWdVcgZczZ7RUbpiCo5+b/qODxzosOm4KgCrccT/hvSRq48F8xBdKKHedjCqQ/FAY17qNS5/flf1Ku9oj303jLP3DujkxBUH+e1/20kd/+UilTENSqXRf0h8LO3zNo0b9U09h5NmR7hzTuo1L9MeI6SnkfHtb/zP3BK5AOXbirP729S6YgqD+9vcsrmExBUMu+P6v2DmnSp794xZgt30xBUH+csUNtEQ/scR7D712XY669XWvWrNGQIUOc7fbGjRu920ybNi3m9Tx06FBvp7zV1Tazvr5eOTk5McvJz8935tqvqanRvHnzlJmZ6Wzj7JGwUuIC6fDhwzIm/rUj4rFT7ESXFXv37nV+vzHGm85LCp8lMnnyZOc6OqNHj465OLgV7/00mffNM2fOxGzzs7Oznelak33/7e59U5IOHDjgPH8jR47UvHnzYs7YWbZsmXc9GJ/PF3NEfKLn5+uvv3bWWVZWlnfdC8sWSPv3x55l2N3za3fIxostba5du+YVAXZd2DOkI+Xk5CQ8wCVavOdXSm6c2CPsjQlPSff22293exbPjBkzYgqklpYWrzSyWbRokXNGYLwCKTc3V4sWLdLYsWOdcRM9JfCVK1diXr/Z2dm6ffu2d5tEz++mTZucrxtjlJmZ6Z1RKCW3HUokmQIp+sz58ePHJzxjwhZIe/fudV5/+fn5WrZsmTdV34ULF5SVleU8f5MnT/bOypCkrVu3ep/b7TWl2tvbvWmiItdJ5Oso3n1G3/AkBVJHR4cWLVrk/A03b9485ebmegWSLUqis2TJEp08eTLhtq21tVVlZWUypvPvP/vv6OuHLVy40HtfaGho0Ouvv+69lgcMGOCNSXsWcFlZmXw+n0pKSpzX8IQJE2IO0lu3bp3zvpmbmxvzN96tW7e8gtq+f3z88cfOTpzc3FxnCr+6ujoFAgFlZ2d3ee3edNUbBdL9+/e96wJGbl/tZ5+5c+fGfL6LPHPy3r17XglljNGhQ4ec5Xf1NzsAAH0JBVIf8iQFEjolu96qq6tVUVHxu/0gXV9f71174EnU1dUlfPz2DJzPP/+8J3fRUV1dHfdo4Pr6+pidX6nQ2tqqiooK76wz/L4k8zqvaWzWiev1av73tHW/BXsGkiS1tnXoQtV9p2Dpyu6TVTIFQa3Ycf6xf+/F241dHjDQ3iH9Wtmg1rbY+5IxZ7f+Z+4Pqn/YOe7b2juU9e4e/eesXfr852syBUFtOHDF+blt5RUxX+/JWO/HKAAAIABJREFUY/i9Sfa9pa6uLuE2rbW1VXfv3lVlZWW3251E20wpPC1VZWWlqqur1d7e9fiuqqrq0XtFTzU0NKiqqirhUbXt7e2qqKj4zXea1NfX68aNGwmnGUpGV++b0e7cudPt72pvb1dVVdUTffiura19qs+rFN4hFu8s5d9CV+OktbVVlZWVcaesehKtra26detW0lP6RgqFQt4ZRYk8evRIN2/e7PL5i/f8dnR0qLa2Nqlx3NV2KJ7f+m+OO3fudDn1c01NTcLyWJJ37bR4z//du3dVXV39u/08/yzqyXjr6OjQzZs3n+j12dsWL14sn8/nlMBS53WW4k09e/v27W7f76qrq7u9zaNHj7rd1iCsN7dvbW1tqqqqUm1tbcx7d0tLS9yziyLdu3fvqfzdCwBAb6FA6kMokHqG9dZz+/fvl8/n69GONuC31Fde55EF0uP687w9+kNhUA+bU7cTpLUtfH2m0at/dr7+sLlNf5yxQ4FZu5T/SblMQVA365qc2xR9E54yr3hf57p/Go/haekrYw4AehvbN6RSuoy33NzcmLNLJXlTR0aeSYenJ13GGwAAfQEFUh9CgdQzrLee6+jo6PaoduBp6iuv88ctkC5U3dff1pYq850fZAqCWrj91+5/qJcNWLjXu77RtM3HNKG4TIFZ4SntSo7d1A+nb3vT27227oje3HxMOe8d8KYCPHfr6T+Gp6GvjDkA6G1s35BK6TLePv30Uxlj9Ne//lUffPCBVq9e7V0fb+3atU/77uHf0mW8AQDQF1Ag9SEUSD3DegPSX195nS8PnlN20Y9J3/7E9Xo9N/9H5bx3QFsOXf8N71lijY9a9cGuC/rL0v3KenePBi/epwnrj+jYtc7pnw5frFH+J+X687w9yi76UTnv/6QPdl1QqKWtTzyGp6GvjDkA6G1s35BK6TTeDh06pDlz5njXHZo9e7bKy8uf9t1ChHQabwAAPG0USH0IBVLPsN6A9MfrHKnGmAOQrti+IZUYb0glxhsAAL2HAqkPoUDqGdYbkP54nSPVGHMA0hXbN6QS4w2pxHgDAKD3UCD1IRRIPcN6A9Ifr3OkGmMOQLpi+4ZUYrwhlRhvAAD0HgqkPoQCqWdYb0D643WOVGPMAUhXbN+QSow3pBLjDQCA3kOB1IdQIPUM6w1If7zOkWqMOQDpiu0bUonxhlRivAEA0HsokPoQCqSeYb0B6Y/XOVKNMQcgXbF9Qyox3pBKjDcAAHoPBVIfQoHUM6w3IP3xOkeqMeYApCu2b0glxhtSifEGAEDvoUDqQyiQeob1BqQ/XudIte7G3L59+7Rr1y4nR44cSXj7pqYm/fOf/9SpU6ecr7e1tam0tFTr1q1TMBhUfX19zM9WVlYqGAyquLhYJ0+eTIsPbwCeHt5TkUqMN6QS4w0AgN5DgdSHUCD1DOsNSH+8zpFq3Y05Y0xM+vXrl/D2hYWFMsaoqKjI+1pLS4tee+01GWPk9/tljFEgENCVK1ckSa2trXrjjTdkjJHP51NmZqZ32/379/fOAwXwzOE9FanEeEMqMd4AAOg9FEh9CAVSz7DegPTH6xyp1tWYC4VCMsZo+/btam5u9tLS0hL39nv37vVKoMgCaevWrTLGKBgMSpLq6uqUlZWl4cOHe7f54IMPtH37drW3t0uSqqqq5Pf7lZWV1RsPE8AziPdUpBLjDanEeAMAoPdQIPUhFEg9w3oD0h+vc6RaV2Pu1q1bMsZ0OWWdVVNTI7/fr/nz56tfv35OgTR8+HANGTLEuf2XX34pY4wqKioSLjM/P18+n8/5WigUUnFxsSZPnqzZs2fr8OHD3d43AM8m3lORSow3pBLjDQCA3kOB1IdQIPUM6w1If7zOkWpdjbkzZ87IGKNLly51u5y8vDz169dPzc3NysrKcgokWyxFunHjhowx2rVrV9zl1dbWyhijiRMnel978OCB+vXrJ2OMcnNzFQgEZIzR5s2bu71/AJ49vKcilRhvSCXGGwAAvYcCqQ+hQOoZ1huQ/nidI9W6GnMHDhzwrkXk8/kUCAT02muv6eLFi87tNm/eLGOMLly4IElOgdTe3i5jjNauXev8TGNjo4wx2rhxo/e1U6dO6f3339eYMWNkjFF2drZTXr333nsyxujUqVOSpLa2No0cOVI+n09NTU09WxEA0g7vqUglxhtSifEGAEDvoUDqQyiQeob1BqQ/XudIta7G3IMHD1RcXKzt27dr+/btmj59ulcmVVVVSZKuXr0qY4zWr1/v/VxkgfTw4UMZY/Txxx87y25tbY0plr7//nsNGjRIxhjv7CNbFknSoEGDlJ2drStXrngpKiqSMUZnzpzplfUBIH3wnopUYrwhlRhvAAD0HgqkPoQCqWdYb0D643WOVHvcMbd7924ZY/Thhx+qtbVVgwcP1ogRI5wPWtFT2BljtGrVKmc5dXV1Msb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\n", "text/plain": [ "" ] }, "execution_count": 87, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Click on the first ID to browse the coverage data that you just submitted." ] }, { "cell_type": "code", "execution_count": 88, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "first_id = gui_driver.find_element_by_xpath('//td/a[contains(@href,\"/browse\")]')\n", "first_id.click()\n", "time.sleep(1)" ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": 89, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "You will first see the full list of files in the `simply-buggy` repository, with all but the `maze.cpp` file showing 0% coverage (because we didn't do anything with these binaries since we rebuilt them with coverage support). Now click on `maze.cpp` and inspect the coverage line by line:" ] }, { "cell_type": "code", "execution_count": 90, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "maze_cpp = gui_driver.find_element_by_xpath(\"//*[contains(text(), 'maze.cpp')]\")\n", "maze_cpp.click()\n", "time.sleep(1)" ] }, { "cell_type": "code", "execution_count": 91, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gui_driver.set_window_size(1400, 1400)\n", "Image(gui_driver.get_screenshot_as_png())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Lines highlighted in _green_ have been executed; the number in the green bar on the left tells how many times. Lines highlighted in _red_ have _not_ been executed. There are two observations to make:\n", "\n", "1. The if-statement in Line 34 is still covered, but the lines following after it are red. This is because our fuzzer misses the constant checked in that statement, so it is fairly obvious that we need to add to our constants list.\n", "\n", "2. From Line 26 to Line 27 there is a sudden drop in coverage. Both lines are covered, but the counters show that we fail that check in more than 95% of the cases. This explains why we find secret 1 so rarely. If this was a real program, we would now try to figure out how much additional code is behind that branch and adjust probabilities such that we hit it more often, if necessary.\n", "\n", "Of course, the `maze` program is so small that one could see these issues with the bare eye. But in reality, with complex programs, it seldom obvious where a fuzzing tool gets stuck. Identifying these cases can greatly help to improve fuzzing results." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "For the sake of completeness, let's rerun the program now with the missing constant added:" ] }, { "cell_type": "code", "execution_count": 92, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "You found secret 1\n", "You found secret 2\n", "Found the bug!\n", "Done!\n" ] } ], "source": [ "random.seed(0)\n", "cmd = [\"simply-buggy/maze\"]\n", "\n", "constants = [3735928559, 1111638594, 3405695742]; # Added the missing constant here\n", "\n", "for itnum in range(0,1000):\n", " current_cmd = []\n", " current_cmd.extend(cmd)\n", " \n", " for _ in range(0,4):\n", " if random.randint(0, 9) < 3:\n", " current_cmd.append(str(constants[random.randint(0, len(constants) - 1)]))\n", " else:\n", " current_cmd.append(str(random.randint(-2147483647, 2147483647)))\n", " \n", " result = subprocess.run(current_cmd, stderr=subprocess.PIPE)\n", " stderr = result.stderr.decode().splitlines()\n", " crashed = False\n", " \n", " if stderr:\n", " print(stderr[0])\n", "\n", " for line in stderr:\n", " if \"ERROR: AddressSanitizer\" in line:\n", " crashed = True\n", " break\n", "\n", " if crashed:\n", " print(\"Found the bug!\")\n", " break\n", "\n", "print(\"Done!\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "As expected, we now found secret 2 including our crash." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Synopsis\n", "\n", "The Python `FuzzManager` package allows for programmatic submission of failures from a large number of (fuzzed) programs. One can query crashes and their details, collect them into buckets to ensure thay will be treated the same, and also retrieve coverage information for debugging both programs and their tests." ] }, { "cell_type": "markdown", "metadata": { "button": false, "new_sheet": true, "run_control": { "read_only": false }, "slideshow": { "slide_type": "slide" } }, "source": [ "## Lessons Learned\n", "\n", "* When fuzzing (a) with several machines, (b) several programs, (c) with several fuzzers, use a _crash server_ auch as _FuzzManager_ to collect and store crashes.\n", "* Crashes likely to be caused by the same failure should be collected in _buckets_ to ensure they all can be treated the same.\n", "* Centrally collecting _fuzzer coverage_ can help revealing issues with fuzzers." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We're done, so we clean up:" ] }, { "cell_type": "code", "execution_count": 93, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "fuzzmanager_process.terminate()" ] }, { "cell_type": "code", "execution_count": 94, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "gui_driver.quit()" ] }, { "cell_type": "code", "execution_count": 95, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "import shutil" ] }, { "cell_type": "code", "execution_count": 96, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "for temp_file in ['coverage.json', 'geckodriver.log', 'ghostdriver.log']:\n", " if os.path.exists(temp_file):\n", " os.remove(temp_file)" ] }, { "cell_type": "code", "execution_count": 97, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "home = os.path.expanduser(\"~\")\n", "for temp_dir in ['coverage', 'simply-buggy', 'simply-buggy-server', \n", " os.path.join(home, 'simply-buggy-server'),\n", " 'FuzzManager']:\n", " if os.path.exists(temp_dir):\n", " shutil.rmtree(temp_dir)" ] }, { "cell_type": "markdown", "metadata": { "button": false, "new_sheet": false, "run_control": { "read_only": false }, "slideshow": { "slide_type": "slide" } }, "source": [ "## Next Steps\n", "\n", "In the next chapter, we will learn how to \n", "\n", "* estimate [how many bugs remain in the code and when we have tested enough](WhenToStopFuzzing.ipynb).\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Background\n", "\n", "This chapter builds on the implementation of [FuzzManager](https://github.com/MozillaSecurity/FuzzManager). Its [Github page](https://github.com/MozillaSecurity/FuzzManager) contains plenty of additional information on how to use it.\n", "\n", "The paper \"What makes a good bug report?\" \\cite{Bettenburg2008} lists essential information that developers expect from a bug report, how they use this information, and for which purposes." ] }, { "cell_type": "markdown", "metadata": { "button": false, "new_sheet": true, "run_control": { "read_only": false }, "slideshow": { "slide_type": "slide" } }, "source": [ "## Exercises\n" ] }, { "cell_type": "markdown", "metadata": { "button": false, "new_sheet": false, "run_control": { "read_only": false }, "slideshow": { "slide_type": "subslide" }, "solution2": "hidden", "solution2_first": true }, "source": [ "### Exercise 1: Automatic Crash Reporting\n", "\n", "Create a Python function that can be invoked at the beginning of a program to have it automatically report crashes and exceptions to a _FuzzManager_ server. Have it track program name (and if possible, outputs) automatically; crashes (exceptions raised) should be converted into ASan format such that _FuzzManager_ can read them." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "skip" }, "solution2": "hidden" }, "source": [ "**Solution.** To be added this Summer." ] } ], "metadata": { "ipub": { "bibliography": "fuzzingbook.bib" }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.8" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": true, "title_cell": "", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": true }, "toc-autonumbering": false }, "nbformat": 4, "nbformat_minor": 2 }