{ "metadata": { "name": "", "signature": "sha256:c82e79feb36027d3e403e1981aa7d6d90d963d008ce6963be74b9b87bf3ed434" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "#Mach-O Clustering and Yara Signature Generation\n", "
\n", "###Snap into a Yara sig!\n", "

Once upon a time we looked at classifying Mach-O, and PE files. This time it's flipped on its head. Is it possible to use various clustering algorithms to group similar files together? But, why stop there!? Can we crank up the awesome and use information from those clusters to generate Yara signatures to find files that are similar in nature?

\n", "

In this notebook we'll explore not only gathering static information from Mach-O binaries, but clustering on those attributes, and finally show off the capabilities of the Yara signature generation.

\n", "\n", "####Tools\n", " - IPython (http://www.ipython.org)\n", " - pandas (http://pandas.pydata.org)\n", " - macholib (https://pypi.python.org/pypi/macholib/) - version 1.7\n", " - Yara (http://plusvic.github.io/yara/)\n", "\n", "####What we did:\n", " - Gathered data about Mach-O files with macholib (JSON)\n", " - Read in that data\n", " - Data cleanup\n", " - Explored the Data!\n", " - Graphs, clustering\n", " - Yara signatures\n", " - More clustering" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# All the imports and some basic level setting with various versions\n", "import IPython\n", "import re\n", "import os\n", "import json\n", "import time\n", "import pylab\n", "import string\n", "import pandas\n", "import pickle\n", "import struct\n", "import socket\n", "import collections\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "\n", "print \"IPython version: %s\" %IPython.__version__\n", "print \"pandas version: %s\" %pd.__version__\n", "print \"numpy version: %s\" %np.__version__\n", "\n", "%matplotlib inline" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "IPython version: 2.0.0\n", "pandas version: 0.13.0rc1-32-g81053f9\n", "numpy version: 1.6.1\n" ] } ], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "engines = ['Symantec', 'Sophos', 'F-Prot', 'Kaspersky', 'McAfee', 'Malwarebytes']\n", "\n", "def extract_vtdata(data):\n", " vt = {}\n", " if 'scans' in data:\n", " if data['positives'] > 0:\n", " vt['label'] = 'malicious'\n", " else:\n", " vt['label'] = 'nonmalicious'\n", " vt['positives'] = data['positives']\n", " for eng in engines:\n", " if eng in data['scans']:\n", " if data['scans'][eng]['result'] == None or not 'result' in data['scans'][eng]:\n", " vt[eng] = 'no detection'\n", " else:\n", " vt[eng] = data['scans'][eng]['result']\n", " else:\n", " vt['label'] = 'no results'\n", " for eng in engines:\n", " vt[eng] = 'no results'\n", " vt['positives'] = 0\n", " return vt" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "def load_vt_data(file_list):\n", " import json\n", " features_list = {}\n", " for filename in file_list:\n", " with open(filename,'rb') as f:\n", " features = extract_vtdata(json.loads(f.read()))\n", " fname = os.path.split(filename)[1].split('.')[0]\n", " features_list[fname] = features\n", " return features_list\n", "\n", "import glob\n", "file_list = glob.glob('/Users/user/vt_data/*.vtdata')\n", "vt_data = load_vt_data(file_list)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "# This simply loads up the JSON and flattens it. FAT binaries are broken down into a feature vector for each architecture\n", "def extract_features(filename, data):\n", " all_features = []\n", " if not 'error' in data['characteristics']['macho']:\n", " for i in range(data['characteristics']['macho']['number of architectures']):\n", " features = {}\n", " #features['magic'] = int(data['characteristics']['macho']['header'][i]['magic'], 0)\n", " #features['h_size'] = data['characteristics']['macho']['header'][i]['size']\n", " #features['h_offset'] = data['characteristics']['macho']['header'][i]['offset']\n", " for command in data['verbose']['macho']['header'][i]['commands']:\n", " if command['cmd_name'] in ['LC_SEGMENT', 'LC_SEGMENT_64']:\n", " bits = ''\n", " if command['cmd_name'] == 'LC_SEGMENT_64':\n", " bits = \"64\"\n", " if command['segname'] == '__PAGEZERO':\n", " features['lc_segment_' + bits + '_vmaddr'] = command['vmaddr']\n", " features['lc_segment_' + bits + '_vmsize'] = command['vmsize']\n", " features['lc_segment_' + bits + '_filesize'] = command['filesize']\n", " features['lc_segment_' + bits + '_fileoff'] = command['fileoff']\n", " if command['cmd_name'] == 'LC_VERSION_MIN_MACOSX':\n", " features['lc_version_min_macosx_min_version'] = float('.'.join(command['version'].split('.')[:2]))\n", " if command['cmd_name'] == 'LC_SYMTAB':\n", " features['lc_symtab_strsize'] = command['strsize']\n", " features['lc_symtab_stroff'] = command['stroff']\n", " features['lc_symtab_symoff'] = command['symoff']\n", " features['lc_symtab_nsyms'] = command['nsyms']\n", " if command['cmd_name'] in ['LC_DYLD_INFO_ONLY', 'LC_DYLD_INFO']:\n", " features['lc_dyld_info_lazy_bind_size'] = command['lazy_bind_size']\n", " features['lc_dyld_info_rebase_size'] = command['rebase_size']\n", " features['lc_dyld_info_lazy_bind_off'] = command['lazy_bind_off']\n", " features['lc_dyld_info_export_off'] = command['export_off']\n", " features['lc_dyld_info_export_size'] = command['export_size']\n", " features['lc_dyld_info_bind_off'] = command['bind_off']\n", " features['lc_dyld_info_rebase_off'] = command['rebase_off']\n", " features['lc_dyld_info_bind_size'] = command['bind_size']\n", " features['lc_dyld_info_weak_bind_size'] = command['weak_bind_size']\n", " features['lc_dyld_info_weak_bind_off'] = command['weak_bind_off']\n", " if command['cmd_name'] == 'LC_DYSYMTAB':\n", " features['lc_dysymtab_nextdefsym'] = command['nextdefsym']\n", " features['lc_dysymtab_extreloff'] = command['extreloff']\n", " features['lc_dysymtab_nlocrel'] = command['nlocrel']\n", " features['lc_dysymtab_modtaboff'] = command['modtaboff']\n", " features['lc_dysymtab_iundefsym'] = command['iundefsym']\n", " features['lc_dysymtab_ntoc'] = command['ntoc']\n", " features['lc_dysymtab_ilocalsym'] = command['ilocalsym']\n", " features['lc_dysymtab_nundefsym'] = command['nundefsym']\n", " features['lc_dysymtab_nextrefsyms'] = command['nextrefsyms']\n", " features['lc_dysymtab_locreloff'] = command['locreloff']\n", " features['lc_dysymtab_nmodtab'] = command['nmodtab']\n", " features['lc_dysymtab_nlocalsym'] = command['nlocalsym']\n", " features['lc_dysymtab_tocoff'] = command['tocoff']\n", " features['lc_dysymtab_extrefsymoff'] = command['extrefsymoff']\n", " features['lc_dysymtab_nindirectsyms'] = command['nindirectsyms']\n", " features['lc_dysymtab_iextdefsym'] = command['iextdefsym']\n", " features['lc_dysymtab_nextrel'] = command['nextrel']\n", " features['lc_dysymtab_indirectsymoff'] = command['indirectsymoff']\n", "\n", " features.update(data['verbose']['macho']['header'][i]['command type count'])\n", " if 'LC_SEGMENT' in features:\n", " features['number of segments'] = features['LC_SEGMENT']\n", " else:\n", " features['number of segments'] = features['LC_SEGMENT_64']\n", " features['filename'] = filename[2:-8]\n", " \n", " # Remove some more features\n", " for lc in ['LC_MAIN', 'LC_UNIXTHREAD']:\n", " if lc in features: features.pop(lc, None)\n", " \n", " filename = os.path.split(filename)[1].split('.')[0]\n", " for eng in engines:\n", " if filename in vt_data:\n", " if eng in vt_data[filename]:\n", " features[eng] = vt_data[filename][eng]\n", " else:\n", " features[eng] = 'no result'\n", " features['label'] = vt_data[filename]['label']\n", " features['positives'] = vt_data[filename]['positives']\n", " else:\n", " features[eng] = 'no result'\n", " features['label'] = 'no result'\n", " all_features.append(features)\n", " \n", " return all_features" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "def load_files(file_list):\n", " import json\n", " features_list = []\n", " for filename in file_list:\n", " with open(filename,'rb') as f:\n", " features = extract_features(filename, json.loads(f.read()))\n", " features_list.extend(features)\n", " return features_list\n", "\n", "import glob\n", "file_list = glob.glob('./*.results')\n", "features = load_files(file_list)\n", "print \"Files:\", len(file_list)\n", "print \"Number of feature vectors:\", len(features)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Files: 527\n", "Number of feature vectors: 639\n" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "
Now that all of the files are loaded, once again, there are more feature vectors than files. As mentioned above, this is because FAT binaries are broken down into one vector per contained architecture.\n", "\n", "Some examples of the features that are used are:\n", " - Load Commands (LC) present in the file (e.g. is LC_FUNCTION_STARTS in the binary)\n", " - Specific values in various LC structs (e.g. The major and minor version of OS X for the binary)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "df = pd.DataFrame.from_records(features)\n", "for col in df.columns:\n", " if col[0:3] in ['LC_']:\n", " df[col].fillna(0, inplace=True)\n", " \n", "df.fillna(-1, inplace=True)\n", "print df.shape\n", "df.head()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(639, 75)\n" ] }, { "html": [ "
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F-ProtKasperskyLC_CODE_SEGMENT_SPLIT_INFOLC_CODE_SIGNATURELC_DATA_IN_CODELC_DYLD_INFOLC_DYLD_INFO_ONLYLC_DYLIB_CODE_SIGN_DRSLC_DYSYMTABLC_ENCRYPTION_INFOLC_FUNCTION_STARTSLC_ID_DYLIBLC_LAZY_LOAD_DYLIBLC_LOAD_DYLIBLC_LOAD_DYLINKERLC_LOAD_WEAK_DYLIBLC_REEXPORT_DYLIBLC_RPATHLC_SEGMENTLC_SEGMENT_64
0 no detection no detection 0 1 1 0 1 1 1 0 1 0 0 1 1 0 0 0 0 4...
1 no detection no detection 0 1 1 0 1 1 1 0 1 0 0 9 1 0 0 0 0 4...
2 no detection no detection 0 1 1 0 1 1 1 0 1 0 0 9 1 0 0 0 4 0...
3 no detection no detection 0 1 1 0 1 1 1 0 1 0 0 5 1 0 0 0 0 4...
4 no detection no detection 0 1 1 0 1 1 1 0 1 0 0 1 1 0 0 0 0 4...
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5 rows \u00d7 75 columns

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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 6, "text": [ " F-Prot Kaspersky LC_CODE_SEGMENT_SPLIT_INFO LC_CODE_SIGNATURE \\\n", "0 no detection no detection 0 1 \n", "1 no detection no detection 0 1 \n", "2 no detection no detection 0 1 \n", "3 no detection no detection 0 1 \n", "4 no detection no detection 0 1 \n", "\n", " LC_DATA_IN_CODE LC_DYLD_INFO LC_DYLD_INFO_ONLY LC_DYLIB_CODE_SIGN_DRS \\\n", "0 1 0 1 1 \n", "1 1 0 1 1 \n", "2 1 0 1 1 \n", "3 1 0 1 1 \n", "4 1 0 1 1 \n", "\n", " LC_DYSYMTAB LC_ENCRYPTION_INFO LC_FUNCTION_STARTS LC_ID_DYLIB \\\n", "0 1 0 1 0 \n", "1 1 0 1 0 \n", "2 1 0 1 0 \n", "3 1 0 1 0 \n", "4 1 0 1 0 \n", "\n", " LC_LAZY_LOAD_DYLIB LC_LOAD_DYLIB LC_LOAD_DYLINKER LC_LOAD_WEAK_DYLIB \\\n", "0 0 1 1 0 \n", "1 0 9 1 0 \n", "2 0 9 1 0 \n", "3 0 5 1 0 \n", "4 0 1 1 0 \n", "\n", " LC_REEXPORT_DYLIB LC_RPATH LC_SEGMENT LC_SEGMENT_64 \n", "0 0 0 0 4 ... \n", "1 0 0 0 4 ... \n", "2 0 0 4 0 ... \n", "3 0 0 0 4 ... \n", "4 0 0 0 4 ... \n", "\n", "[5 rows x 75 columns]" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "# Brief overview of the various things detected by Symantec in this dataset, really we just want to verifiy that we have some data\n", "df[engines].Symantec.value_counts().head(10)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 7, "text": [ "no detection 412\n", "OSX.Flashback.K 47\n", "Trojan.Gen.2 36\n", "Backdoor.Trojan 21\n", "OSX.Flashback 15\n", "OSX.Crisis 14\n", "Trojan Horse 8\n", "OSX.MacControl 7\n", "OSX.Kitmos 6\n", "Downloader 5\n", "dtype: int64" ] } ], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "ignore_cols = engines + ['filename', 'label', 'positives']\n", "cols = [x for x in df.columns.tolist() if not x in ignore_cols]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "
Time to visualize the raw data! Since it's hard for us humans to visualize things with over 60 dimensions we can use PCA (Principal Component Analysis) to project (reduce the dimensionality) all those features down to a few that we can graph. In this case, we'll look at 2D and 3D images that represent the data. It's interesting to see how much information is lost between 3D and 2D, imagine what this could look like if we could see all the dimensions!\n", "\n", "Here we scale the values to set all variables on equal footing, and because it helps PCA work properly (ok, mostly because it helps PCA work properly)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "X = df.as_matrix(cols)\n", "from sklearn.preprocessing import scale\n", "X = scale(X)\n", "\n", "from sklearn.decomposition import PCA\n", "DDD = PCA(n_components=3).fit_transform(X)\n", "DD = PCA(n_components=2).fit_transform(X)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "from mpl_toolkits.mplot3d import Axes3D\n", "\n", "figsize(12,8)\n", "fig = plt.figure(figsize=plt.figaspect(.5))\n", "ax = fig.add_subplot(1, 2, 1, projection='3d')\n", "ax.scatter(DDD[:,0], DDD[:,1], DDD[:,2], s=50)\n", "ax.set_title(\"Raw Data 3D\")\n", "ax = fig.add_subplot(1, 2, 2)\n", "ax.scatter(DD[:,0], DD[:,1], s=50)\n", "ax.set_title(\"Raw Data 2D)\")\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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JwzBw++23Y+vWraOe29vbi1tuucXertrX1zfq74U4A7tsNotnnnkGy5cvx4EHHohPfepT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fRAjg5uuummio8vWbKkxSsRBKER9ttvP+bMmcqzz36FYvEKSuPTLDTtajKZl/nUpz7V7iUKQtPp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"text": [ "" ] } ], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's get into the meat of this. Below is DBSCAN, it enjoys long walks on the beach, non-flat geometry, and uneven cluster sizes (http://scikit-learn.org/stable/modules/clustering.html). This seemed like a good selection for many different reasons. We expect to have several uneven cluster sizes as this sample of files contains both malware and Apple (legit) compiled binaries. By building the features from the file structure, this should pick out several different tool chains (compilers, etc...) used and it would be surprising to have even distributions of that type of information in the data set. Another nice feature of the scikit learn implementation is that all samples that don't belong to a cluster are labeled with \"-1\". This avoid shoving files into clusters and reducing the efficency of any generated Yara signature. However, if we're searching for more generic sigs we can play games to get more samples in clusters or use different algoritms.\n", "\n", "We also show the difference between non-scaled and non-reduced data, and how you can get different (and usually better) results by scaling and reducing." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from sklearn.cluster import DBSCAN\n", "\n", "X = df.as_matrix(cols)\n", "\n", "dbscan = DBSCAN(min_samples=3)\n", "dbscan.fit(X)\n", "labels1 = dbscan.labels_\n", "labels1_u = np.unique(labels1)\n", "nclusters = len(labels1_u)\n", "\n", "dbscan_df = pd.DataFrame()\n", "dbscan_df = df[['label', 'filename', 'positives'] + engines]\n", "dbscan_df['cluster'] = labels1\n", "\n", "print \"Number of clusters: %d\" % nclusters\n", "print \"Labeled samples: %s\" % dbscan_df[dbscan_df['cluster'] != -1].filename.value_counts().sum()\n", "print \"Unlabeled samples: %s\" % dbscan_df[dbscan_df['cluster'] == -1].filename.value_counts().sum()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Number of clusters: 21\n", "Labeled samples: 140\n", "Unlabeled samples: 499\n" ] } ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "
There are a fair amount of unlabeled samples, which is not terribly surprising. However, it should still be interesting to see how the clusering algorithm did, and what got jammed where.\n", "\n", "A simple overview of the breakdown of malicious vs. non-malicious. Remember from above, a sample was marked malicious if it had at least 1 result from an AV vendor." ] }, { "cell_type": "code", "collapsed": false, "input": [ "dbscan_df.groupby(['cluster', 'label']).count()[['filename']].head(10)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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filename
clusterlabel
-1malicious 208
nonmalicious 291
0nonmalicious 19
1malicious 3
2nonmalicious 12
3malicious 8
4malicious 5
5malicious 4
6malicious 4
7nonmalicious 12
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10 rows \u00d7 1 columns

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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 12, "text": [ " filename\n", "cluster label \n", "-1 malicious 208\n", " nonmalicious 291\n", " 0 nonmalicious 19\n", " 1 malicious 3\n", " 2 nonmalicious 12\n", " 3 malicious 8\n", " 4 malicious 5\n", " 5 malicious 4\n", " 6 malicious 4\n", " 7 nonmalicious 12\n", "\n", "[10 rows x 1 columns]" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "How many clusters had both malicious and non-malicious samples in them?\n", "\n", "Zero. Cool!\n", "\n", "Remember DBSCAN will assign a label of '-1' to all non-clustered samples." ] }, { "cell_type": "code", "collapsed": false, "input": [ "clusters = set()\n", "for name, blah in dbscan_df.groupby(['cluster', 'label'])['label']:\n", " if name[0] in clusters:\n", " print \"%s Cluster has both Malicious and Non-Malicious Samples\" % name[0]\n", " clusters.add(name[0])" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "-1.0 Cluster has both Malicious and Non-Malicious Samples\n" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "In a spot check, this cluster at least, looks pretty good! Looks like similar things were effectivly grouped together. #Science" ] }, { "cell_type": "code", "collapsed": false, "input": [ "sample_cluster = 3\n", "dbscan_df[dbscan_df['cluster'] == sample_cluster][engines]" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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SymantecSophosF-ProtKasperskyMcAfeeMalwarebytes
147 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection
198 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection
246 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A Trojan-Downloader.OSX.Flashfake.ak OSX/Flashfake.c no detection
268 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection
282 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection
318 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection
344 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection
413 Trojan.Gen.2 OSX/Flshplyr-D MacOS/FlashBack.A Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection
\n", "

8 rows \u00d7 6 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 15, "text": [ " Symantec Sophos F-Prot \\\n", "147 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A \n", "198 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A \n", "246 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A \n", "268 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A \n", "282 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A \n", "318 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A \n", "344 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.A \n", "413 Trojan.Gen.2 OSX/Flshplyr-D MacOS/FlashBack.A \n", "\n", " Kaspersky McAfee Malwarebytes \n", "147 Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection \n", "198 Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection \n", "246 Trojan-Downloader.OSX.Flashfake.ak OSX/Flashfake.c no detection \n", "268 Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection \n", "282 Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection \n", "318 Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection \n", "344 Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection \n", "413 Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection \n", "\n", "[8 rows x 6 columns]" ] } ], "prompt_number": 15 }, { "cell_type": "code", "collapsed": false, "input": [ "for eng in engines:\n", " print \"%s - %s\" %(eng, len(dbscan_df[dbscan_df['cluster'] == sample_cluster][eng].unique().tolist()))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Symantec - 2\n", "Sophos - 1\n", "F-Prot - 1\n", "Kaspersky - 2\n", "McAfee - 1\n", "Malwarebytes - 1\n" ] } ], "prompt_number": 16 }, { "cell_type": "code", "collapsed": false, "input": [ "# This is a ballpark to see what might be a good number of components to reduce our original 66 features to\n", "X = df.as_matrix(cols)\n", "X = scale(X)\n", "pca = PCA().fit(X)\n", "n_comp = len([x for x in pca.explained_variance_ if x > 1e0])\n", "print \"Number of components w/explained variance > 1: %s\" % n_comp" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Number of components w/explained variance > 1: 18\n" ] } ], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": [ "X = df.as_matrix(cols)\n", "X = scale(X)\n", "X = PCA(n_components=n_comp).fit_transform(X)\n", "\n", "dbscan = DBSCAN(min_samples=3)\n", "dbscan.fit(X)\n", "labels1 = dbscan.labels_\n", "labels1_u = np.unique(labels1)\n", "nclusters = len(labels1_u)\n", "\n", "dbscan_df = pd.DataFrame()\n", "dbscan_df = df[['label', 'filename', 'positives'] + engines]\n", "dbscan_df['cluster'] = labels1\n", "\n", "print \"Number of clusters: %d\" % nclusters\n", "print \"Labeled samples: %s\" % dbscan_df[dbscan_df['cluster'] != -1].filename.value_counts().sum()\n", "print \"Unlabeled samples: %s\" % dbscan_df[dbscan_df['cluster'] == -1].filename.value_counts().sum()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Number of clusters: 34\n", "Labeled samples: 452\n", "Unlabeled samples: 187\n" ] } ], "prompt_number": 18 }, { "cell_type": "markdown", "metadata": {}, "source": [ "
With just a few lines of code we could reduce the number of unlabed (-1) samples and increase the number of labeled samples! These are just some of the ways we can influence the behavior of these algorithms.\n", "\n", "You can see below, some of the clusters (the number on the left) and how many members there are in each cluster (the number on the right). This is on the scaled and PCA'd data, and these numbers would look quite different had we ran it above.\n", "\n", "Last but not least, there are a few graphs showing our projections from above, but colored with the sample labels. Remember for the PCA'd data above, the graphs are 2D and 3D representations of 18D data, so colors that look pretty close here are probably a bit less close in 18D or even 60D." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Get rid of unlabeled samples and show what we're left with (number of samples per cluster)\n", "dbscan_df.cluster.value_counts().head(10)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 19, "text": [ "-1 187\n", " 3 131\n", " 9 30\n", " 13 26\n", " 4 21\n", " 19 21\n", " 22 20\n", " 16 18\n", " 0 17\n", " 18 15\n", "dtype: int64" ] } ], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "# Remove unlabeled samples for graphing to make it prettier\n", "df['cluster'] = dbscan_df['cluster']\n", "tempdf = df[df['cluster'] != -1].reset_index(drop=True)\n", "X = tempdf.as_matrix(cols)\n", "X = scale(X)\n", "DDD = PCA(n_components=3).fit_transform(X)\n", "DD = PCA(n_components=2).fit_transform(X)\n", "\n", "figsize(12,12)\n", "fig = plt.figure(figsize=plt.figaspect(.5))\n", "ax = fig.add_subplot(2, 2, 1, projection='3d')\n", "ax.scatter(DDD[:,0], DDD[:,1], DDD[:,2], c=tempdf['cluster'], s=50)\n", "ax.set_title(\"DBSCAN Clusters\")\n", "ax = fig.add_subplot(2, 2, 2, projection='3d')\n", "ax.set_xlim(-10,5)\n", "ax.set_ylim(-10,15)\n", "ax.set_zlim(-30,5)\n", "ax.scatter(DDD[:,0], DDD[:,1], DDD[:,2], c=tempdf['cluster'], s=50)\n", "ax.set_title(\"DBSCAN Clusters (zoomed in)\")\n", "ax = fig.add_subplot(2, 2, 3)\n", "ax.scatter(DD[:,0], DD[:,1], c=tempdf['cluster'], s=50)\n", "ax.set_title(\"DBSCAN Clusters\")\n", "ax = fig.add_subplot(2, 2, 4)\n", "ax.set_xlim(-6,5)\n", "ax.set_ylim(-15,10)\n", "ax.scatter(DD[:,0], DD[:,1], c=tempdf['cluster'], s=50)\n", "ax.set_title(\"DBSCAN Clusters (zoomed in)\")\n", "plt.show()\n", "#df.drop('cluster', axis=1, inplace=True)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, 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JadnY2cRzYpKta4jnqCo6n2Si4ZFpv7FqV+I1UkpnD1GFojMxUpsj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\ntLQ0srKySE4ygSCB6ySYirL7IQhguA6c5/jo03Xo9CZef20SGRkZ2O1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kwFEXd9/vRkDw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\nFww6mQ2/JzD3+1jsXKD+/A9JunKP1TV/ZueGbbTt2I2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"text": [ "" ] } ], "prompt_number": 20 }, { "cell_type": "code", "collapsed": false, "input": [ "dbscan_df.groupby(['cluster', 'label']).count()[['filename']].head(10)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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filename
clusterlabel
-1malicious 85
nonmalicious 102
0malicious 17
1malicious 9
2malicious 6
3nonmalicious 131
4nonmalicious 21
5nonmalicious 11
6malicious 8
7malicious 7
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10 rows \u00d7 1 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 21, "text": [ " filename\n", "cluster label \n", "-1 malicious 85\n", " nonmalicious 102\n", " 0 malicious 17\n", " 1 malicious 9\n", " 2 malicious 6\n", " 3 nonmalicious 131\n", " 4 nonmalicious 21\n", " 5 nonmalicious 11\n", " 6 malicious 8\n", " 7 malicious 7\n", "\n", "[10 rows x 1 columns]" ] } ], "prompt_number": 21 }, { "cell_type": "code", "collapsed": false, "input": [ "clusters = set()\n", "print \"Total Number of Clusters: %s\\n\" % (len(dbscan_df['cluster'].unique().tolist()))\n", "for name, blah in dbscan_df.groupby(['cluster', 'label'])['label']:\n", " if name[0] in clusters:\n", " print \"%s Cluster has both Malicious and Non-Malicious Samples\" % name[0]\n", " clusters.add(name[0])" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Total Number of Clusters: 34\n", "\n", "-1.0 Cluster has both Malicious and Non-Malicious Samples\n", "15.0 Cluster has both Malicious and Non-Malicious Samples\n", "18.0 Cluster has both Malicious and Non-Malicious Samples\n", "19.0 Cluster has both Malicious and Non-Malicious Samples\n", "20.0 Cluster has both Malicious and Non-Malicious Samples\n", "22.0 Cluster has both Malicious and Non-Malicious Samples\n" ] } ], "prompt_number": 22 }, { "cell_type": "code", "collapsed": false, "input": [ "sample_cluster = 0\n", "dbscan_df[dbscan_df['cluster'] == sample_cluster][engines]" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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SymantecSophosF-ProtKasperskyMcAfeeMalwarebytes
20 no detection OSX/MSDrop-A no detection Backdoor.OSX.Getshell.k no detection no detection
72 no detection OSX/Getshell-A no detection Backdoor.OSX.Getshell.k no detection no detection
77 OSX.Olyx OSX/Bckdr-RID no detection Backdoor.OSX.Lasyr.b no detection no detection
120 no detection OSX/Getshell-A no detection Backdoor.OSX.Getshell.k no detection no detection
130 OSX.Olyx.B OSX/Bckdr-RID no detection Backdoor.OSX.Lasyr.b no detection no detection
142 OSX.Olyx.B OSX/Bckdr-RID no detection Backdoor.OSX.Lasyr.b no detection no detection
180 no detection OSX/Getshell-A no detection Backdoor.OSX.Getshell.k no detection no detection
184 OSX.GetShell OSX/Bckdr-RMB no detection Backdoor.OSX.Getshell.k no detection no detection
201 OSX.GetShell OSX/Bckdr-RMB no detection Backdoor.OSX.Getshell.k no detection no detection
217 Trojan Horse OSX/Getshell-A no detection Backdoor.OSX.Getshell.k no detection no detection
219 Trojan.Gen.2 OSX/Bckdr-RMB no detection Backdoor.OSX.Getshell.k no detection no detection
253 no detection OSX/Bckdr-RMB no detection Backdoor.OSX.Getshell.k no detection no detection
310 OSX.Olyx.B OSX/Bckdr-RLI no detection Backdoor.OSX.Lasyr.e no detection no detection
325 OSX.Olyx.B OSX/Bckdr-RID no detection Backdoor.OSX.Lasyr.b no detection no detection
387 OSX.Olyx.B OSX/Bckdr-RID no detection Backdoor.OSX.Lasyr.b no detection no detection
395 OSX.GetShell OSX/Bckdr-RMB no detection Backdoor.OSX.Getshell.k no detection no detection
530 no detection OSX/Getshell-A no detection Backdoor.OSX.Getshell.k no detection no detection
\n", "

17 rows \u00d7 6 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 23, "text": [ " Symantec Sophos F-Prot Kaspersky \\\n", "20 no detection OSX/MSDrop-A no detection Backdoor.OSX.Getshell.k \n", "72 no detection OSX/Getshell-A no detection Backdoor.OSX.Getshell.k \n", "77 OSX.Olyx OSX/Bckdr-RID no detection Backdoor.OSX.Lasyr.b \n", "120 no detection OSX/Getshell-A no detection Backdoor.OSX.Getshell.k \n", "130 OSX.Olyx.B OSX/Bckdr-RID no detection Backdoor.OSX.Lasyr.b \n", "142 OSX.Olyx.B OSX/Bckdr-RID no detection Backdoor.OSX.Lasyr.b \n", "180 no detection OSX/Getshell-A no detection Backdoor.OSX.Getshell.k \n", "184 OSX.GetShell OSX/Bckdr-RMB no detection Backdoor.OSX.Getshell.k \n", "201 OSX.GetShell OSX/Bckdr-RMB no detection Backdoor.OSX.Getshell.k \n", "217 Trojan Horse OSX/Getshell-A no detection Backdoor.OSX.Getshell.k \n", "219 Trojan.Gen.2 OSX/Bckdr-RMB no detection Backdoor.OSX.Getshell.k \n", "253 no detection OSX/Bckdr-RMB no detection Backdoor.OSX.Getshell.k \n", "310 OSX.Olyx.B OSX/Bckdr-RLI no detection Backdoor.OSX.Lasyr.e \n", "325 OSX.Olyx.B OSX/Bckdr-RID no detection Backdoor.OSX.Lasyr.b \n", "387 OSX.Olyx.B OSX/Bckdr-RID no detection Backdoor.OSX.Lasyr.b \n", "395 OSX.GetShell OSX/Bckdr-RMB no detection Backdoor.OSX.Getshell.k \n", "530 no detection OSX/Getshell-A no detection Backdoor.OSX.Getshell.k \n", "\n", " McAfee Malwarebytes \n", "20 no detection no detection \n", "72 no detection no detection \n", "77 no detection no detection \n", "120 no detection no detection \n", "130 no detection no detection \n", "142 no detection no detection \n", "180 no detection no detection \n", "184 no detection no detection \n", "201 no detection no detection \n", "217 no detection no detection \n", "219 no detection no detection \n", "253 no detection no detection \n", "310 no detection no detection \n", "325 no detection no detection \n", "387 no detection no detection \n", "395 no detection no detection \n", "530 no detection no detection \n", "\n", "[17 rows x 6 columns]" ] } ], "prompt_number": 23 }, { "cell_type": "code", "collapsed": false, "input": [ "for eng in engines:\n", " print \"%s - %s\" %(eng, len(dbscan_df[dbscan_df['cluster'] == sample_cluster][eng].unique().tolist()))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Symantec - 6\n", "Sophos - 5\n", "F-Prot - 1\n", "Kaspersky - 3\n", "McAfee - 1\n", "Malwarebytes - 1\n" ] } ], "prompt_number": 24 }, { "cell_type": "markdown", "metadata": {}, "source": [ "
Perfect, we've got our files clustered in groups that we _think_ should be similar/close to one other. This is great if we wanted to stop here, but how many times can you run a Python model on machines in an enterprise or on an appliance in order to find similar files? I'm willing to bet not very often. Instead we need to get this information out of Python and into something usable on files. For this, we've got Yara! \n", "\n", "Below you'll see a simple call-out to a yara_signature python module. This module contains code to generate a signature based on attributes found in the file. We've chosen a cluster (3) and a file from that cluster to base the signature off of. Then the attributes from the cluster that are non-zero (present) are added to the signature. Some of the struct values can be influenced in the sig, and that's the reason for the multiple lists to keep track of various attributes." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import yara_signature\n", "\n", "name = 3\n", "fdf = pd.DataFrame()\n", "for f in dbscan_df[dbscan_df['cluster'] == name].filename.tolist():\n", " fdf = fdf.append(df[df['filename'] == f], ignore_index=True)\n", " \n", "# Choose a signature from cluster to use as the basis of the sig w/the attributes below\n", "filename = fdf.filename.value_counts().index[0]\n", "\n", "meta = {\"author\" : \"sconzo\", \"email\" : \"sconzo_at_clicksecurity_dot_com\"}\n", "\n", "sig = yara_signature.yara_macho_generator.YaraMachoGenerator(\"/Users/sconzo/macho-yara/macho/\" +filename, samplename=\"Cluster_\"+str(name), meta=meta)\n", " \n", "lc_cmds = []\n", "lc_symtab = []\n", "lc_dysymtab = []\n", "lc_dyld_info = []\n", "lc_segment = []\n", "lc_segment_64 = []\n", "\n", "for col in fdf.columns:\n", " if len(fdf[col].unique()) == 1:\n", " if fdf[col].unique()[0] != 0:\n", " lower = [s for s in col if s.islower()]\n", " if fdf[col].unique()[0] > 0 or (len(lower) == len(col)):\n", " if col.startswith('LC_'):\n", " lc_cmds.append(col)\n", " if col.startswith('lc_segment_'):\n", " lc_segment.append(col)\n", " if col.startswith('lc_segment_64_'):\n", " lc_segment_64.append(col)\n", " if col.startswith('lc_symtab_'):\n", " lc_symtab.append(col)\n", " if col.startswith('lc_dysymtab_'):\n", " lc_dysymtab.append(col)\n", " if col.startswith('lc_dyld_info_'):\n", " lc_dyld_info.append(col)\n", "\n", "if len(lc_symtab) > 0:\n", " lc_cmds = [x for x in lc_cmds if x != 'LC_SYMTAB']\n", " lc_symtab = set([x[10:] for x in lc_symtab])\n", " sig.add_symtab(lc_symtab)\n", "\n", "if len(lc_dysymtab) > 0:\n", " lc_cmds = [x for x in lc_cmds if x != 'LC_DYSYMTAB']\n", " lc_dysymtab = set([x[12:] for x in lc_dysymtab])\n", " sig.add_dysymtab(lc_dysymtab)\n", "\n", "if len(lc_dyld_info):\n", " lc_cmds = [x for x in lc_cmds if x != 'LC_DYLD_INFO']\n", " lc_cmds = [x for x in lc_cmds if x != 'LC_DYLD_INFO_ONLY']\n", " lc_dyld_info = set([x[13:] for x in lc_dyld_info])\n", " sig.add_dyld_info(lc_dyld_info)\n", "\n", "if len(lc_segment) > 0:\n", " lc_cmds = [x for x in lc_cmds if x != 'LC_SEGMENT']\n", " lc_segment = set([x[12:] for x in lc_segment])\n", " sig.add_segment(lc_segment)\n", "\n", "if len(lc_segment_64) > 0:\n", " lc_cmds = [x for x in lc_cmds if x != 'LC_SEGMENT_64']\n", " lc_segment_64 = set([x[14:] for x in lc_segment_64])\n", " sig.add_segment(lc_segment_64)\n", "\n", "if 'LC_VERSION_MIN_IPHONEOS' in lc_cmds:\n", " lc_cmds = [x for x in lc_cmds if x != 'LC_VERSION_MIN_IPHONEOS']\n", " sig.add_version_min_macosx()\n", "\n", "if 'LC_VERSION_MIN_MACOSX' in lc_cmds:\n", " lc_cmds = [x for x in lc_cmds if x != 'LC_VERSION_MIN_MACOSX']\n", " sig.add_version_min_macosx()\n", "[sig.add_lc(x) for x in lc_cmds]\n", "\n", "print sig.get_signature()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "rule Cluster_3\n", "{\n", "meta:\n", " author = \"sconzo\"\n", " email = \"sconzo_at_clicksecurity_dot_com\"\n", " generator = \"This sweet yara sig generator!\"\n", "\n", "strings:\n", " $LC_VERSION_MIN_MACOSX = { 24 00 00 00 10 00 00 00 ?? 09 0a 00 00 }\n", " $LC_CODE_SIGNATURE_0 = { 1d 00 00 00 ?? 00 00 00 }\n", " $LC_DATA_IN_CODE_1 = { 29 00 00 00 ?? 00 00 00 }\n", " $LC_DYLD_INFO_ONLY_2 = { 22 00 00 80 ?? 00 00 00 }\n", " $LC_DYLIB_CODE_SIGN_DRS_3 = { 2b 00 00 00 ?? 00 00 00 }\n", " $LC_DYSYMTAB_4 = { 0b 00 00 00 ?? 00 00 00 }\n", " $LC_FUNCTION_STARTS_5 = { 26 00 00 00 ?? 00 00 00 }\n", " $LC_LOAD_DYLINKER_6 = { 0e 00 00 00 ?? 00 00 00 }\n", " $LC_SOURCE_VERSION_7 = { 2a 00 00 00 ?? 00 00 00 }\n", " $LC_SYMTAB_8 = { 02 00 00 00 ?? 00 00 00 }\n", " $LC_UUID_9 = { 1b 00 00 00 ?? 00 00 00 }\n", "condition:\n", " $LC_VERSION_MIN_MACOSX and\n", " $LC_CODE_SIGNATURE_0 and\n", " $LC_DATA_IN_CODE_1 and\n", " $LC_DYLD_INFO_ONLY_2 and\n", " $LC_DYLIB_CODE_SIGN_DRS_3 and\n", " $LC_DYSYMTAB_4 and\n", " $LC_FUNCTION_STARTS_5 and\n", " $LC_LOAD_DYLINKER_6 and\n", " $LC_SOURCE_VERSION_7 and\n", " $LC_SYMTAB_8 and\n", " $LC_UUID_9\n", "}\n" ] } ], "prompt_number": 25 }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Since we've got one method of clustering to Yara signature down, let's take a brief look at what happens to the cluster shapes/distributions with some other types of cluster algoritms.

\n", "\n", "First up, KMeans. It will put every sample into a cluster, and for this algorithm you must specific the number of cluster (the 'K' in KMeans). There are a bunch of ways you can determine how many clusters, below we went with a simple one from Wikipedia (http://en.wikipedia.org/wiki/Determining_the_number_of_clusters_in_a_data_set)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from sklearn.cluster import KMeans\n", "\n", "X = df.as_matrix(cols)\n", "X = scale(X)\n", "\n", "#rule of thumb of k = sqrt(#samples/2), thanks wikipedia :)\n", "k_clusters = int(math.sqrt(int(len(X)/2)))\n", "kmeans = KMeans(n_clusters=k_clusters)\n", "kmeans.fit(X)\n", "labels1 = kmeans.labels_\n", "df['cluster'] = labels1\n", "labels1_u = np.unique(labels1)\n", "nclusters = len(labels1_u)\n", "\n", "kmeans_df = pd.DataFrame()\n", "kmeans_df = df[['label', 'filename', 'positives'] + engines]\n", "kmeans_df['cluster'] = labels1\n", "\n", "print \"Number of clusters: %d\" % k_clusters" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Number of clusters: 17\n" ] } ], "prompt_number": 26 }, { "cell_type": "code", "collapsed": false, "input": [ "kmeans_df['cluster'].value_counts().head(10)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 27, "text": [ "3 161\n", "5 144\n", "1 97\n", "10 81\n", "15 59\n", "11 40\n", "0 26\n", "7 15\n", "6 6\n", "14 2\n", "dtype: int64" ] } ], "prompt_number": 27 }, { "cell_type": "code", "collapsed": false, "input": [ "X = df.as_matrix(cols)\n", "X = scale(X)\n", "X = PCA(n_components=3).fit_transform(X)\n", "\n", "figsize(12,8)\n", "fig = plt.figure(figsize=plt.figaspect(.5))\n", "ax = fig.add_subplot(1, 2, 1, projection='3d')\n", "ax.scatter(X[:,0], X[:,1], X[:,2], c=kmeans_df['cluster'], s=50)\n", "ax.set_title(\"Kmeans Clusters\")\n", "ax = fig.add_subplot(1, 2, 2, projection='3d')\n", "ax.set_xlim(-10,2)\n", "ax.set_ylim(10,35)\n", "ax.set_zlim(-20,10)\n", "ax.scatter(X[:,0], X[:,1], X[:,2], c=kmeans_df['cluster'], s=50)\n", "ax.set_title(\"KMeans Clusters (zoomed in)\")\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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FFzleN0EQBOEdTnTw9NNPxyOPPIKZM2di6tSpDb+bNm0aZsyY0aABIyMjeOihhwAAl156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\nfvnlF4YNG8bw4cNp3rz5NbH5Rmfz1distu3wZWpsdtztY7fbeeq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"text": [ "" ] } ], "prompt_number": 28 }, { "cell_type": "code", "collapsed": false, "input": [ "clusters = set()\n", "for name, blah in kmeans_df.groupby(['cluster', 'label'])['label']:\n", " if name[0] in clusters:\n", " print \"%s Cluster has both Malicious and Non-Malicious Samples\" % name[0]\n", " clusters.add(name[0])" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0 Cluster has both Malicious and Non-Malicious Samples\n", "1 Cluster has both Malicious and Non-Malicious Samples\n", "3 Cluster has both Malicious and Non-Malicious Samples\n", "5 Cluster has both Malicious and Non-Malicious Samples\n", "10 Cluster has both Malicious and Non-Malicious Samples\n", "11 Cluster has both Malicious and Non-Malicious Samples\n", "15 Cluster has both Malicious and Non-Malicious Samples\n" ] } ], "prompt_number": 29 }, { "cell_type": "code", "collapsed": false, "input": [ "sample_cluster = 5\n", "kmeans_df[kmeans_df['cluster'] == sample_cluster][engines].head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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SymantecSophosF-ProtKasperskyMcAfeeMalwarebytes
19 OSX.Dockster.A OSX/Agent-AADL no detection Exploit.OSX.CVE-2009-0563.a no detection no detection
20 no detection OSX/MSDrop-A no detection Backdoor.OSX.Getshell.k no detection no detection
23 no detection OSX/Spynion-A no detection Trojan.OSX.Spynion.a OSX/OpinionSpy no detection
27 Downloader OSX/FakeAv-FFN no detection Trojan-Downloader.OSX.FavDonw.c no detection no detection
28 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.B Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection
\n", "

5 rows \u00d7 6 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 30, "text": [ " Symantec Sophos F-Prot \\\n", "19 OSX.Dockster.A OSX/Agent-AADL no detection \n", "20 no detection OSX/MSDrop-A no detection \n", "23 no detection OSX/Spynion-A no detection \n", "27 Downloader OSX/FakeAv-FFN no detection \n", "28 OSX.Flashback.K OSX/Flshplyr-D MacOS/FlashBack.B \n", "\n", " Kaspersky McAfee Malwarebytes \n", "19 Exploit.OSX.CVE-2009-0563.a no detection no detection \n", "20 Backdoor.OSX.Getshell.k no detection no detection \n", "23 Trojan.OSX.Spynion.a OSX/OpinionSpy no detection \n", "27 Trojan-Downloader.OSX.FavDonw.c no detection no detection \n", "28 Trojan-Downloader.OSX.Flashfake.ab OSX/Flashfake.c no detection \n", "\n", "[5 rows x 6 columns]" ] } ], "prompt_number": 30 }, { "cell_type": "code", "collapsed": false, "input": [ "for eng in engines:\n", " print \"%s - %s\" %(eng, len(kmeans_df[kmeans_df['cluster'] == sample_cluster][eng].unique().tolist()))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Symantec - 22\n", "Sophos - 42\n", "F-Prot - 6\n", "Kaspersky - 59\n", "McAfee - 19\n", "Malwarebytes - 1\n" ] } ], "prompt_number": 31 }, { "cell_type": "code", "collapsed": false, "input": [ "kmeans_df[kmeans_df['cluster'] == sample_cluster]['Symantec'].value_counts()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 32, "text": [ "no detection 50\n", "OSX.Flashback.K 23\n", "Trojan.Gen.2 18\n", "Backdoor.Trojan 10\n", "OSX.MacControl 7\n", "OSX.Olyx.B 5\n", "Macsweeper 4\n", "Trojan Horse 3\n", "OSX.Dockster.A 3\n", "OSX.GetShell 3\n", "Downloader 3\n", "OSX.Olyx 2\n", "Trojan.Gen 2\n", "OSX.Coinbitminer 2\n", "OSX.Sabpab 2\n", "OSX.Imauler 1\n", "Spyware.SniperSpy.B 1\n", "Yontoo.B 1\n", "OSX.Imuler 1\n", "MACDefender 1\n", "OSX.Hackback 1\n", "OSX.Revir 1\n", "dtype: int64" ] } ], "prompt_number": 32 }, { "cell_type": "code", "collapsed": false, "input": [ "X = df.as_matrix(cols)\n", "X = scale(X)\n", "X = PCA(n_components=n_comp).fit_transform(X)\n", "\n", "#rule of thumb of k = sqrt(#samples/2), thanks wikipedia :)\n", "k_clusters = int(math.sqrt(int(len(X)/2)))\n", "\n", "kmeans = KMeans(n_clusters=k_clusters)\n", "kmeans.fit(X)\n", "labels1 = kmeans.labels_\n", "df['cluster'] = labels1\n", "labels1_u = np.unique(labels1)\n", "nclusters = len(labels1_u)\n", "\n", "kmeans_df = pd.DataFrame()\n", "kmeans_df = df[['label', 'filename', 'positives'] + engines]\n", "kmeans_df['cluster'] = labels1\n", "\n", "print \"Number of clusters: %d\" % nclusters\n", "print\n", "print \"Cluster/Sample Layout\"\n", "print df.cluster.value_counts().head(10)\n", "print\n", "\n", "X = df.as_matrix(cols)\n", "X = scale(X)\n", "X = PCA(n_components=3).fit_transform(X)\n", "\n", "figsize(12,8)\n", "fig = plt.figure(figsize=plt.figaspect(.5))\n", "ax = fig.add_subplot(1, 2, 1, projection='3d')\n", "ax.scatter(X[:,0], X[:,1], X[:,2], c=kmeans_df['cluster'], s=50)\n", "ax.set_title(\"KMeans Clusters\")\n", "ax = fig.add_subplot(1, 2, 2, projection='3d')\n", "ax.set_xlim(-10,2)\n", "ax.set_ylim(15,30)\n", "ax.set_zlim(-20,0)\n", "ax.scatter(X[:,0], X[:,1], X[:,2], c=kmeans_df['cluster'], s=50)\n", "ax.set_title(\"KMeans Clusters (zoomed in)\")\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Number of clusters: 17\n", "\n", "Cluster/Sample Layout\n", "0 154\n", "15 151\n", "9 97\n", "1 81\n", "16 53\n", "7 40\n", "4 28\n", "14 17\n", "11 6\n", "12 4\n", "dtype: int64\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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GisoXv/hF7LfffjjyyCMxbdo0rFixAk8//bTj5/vjH/+IFStWoF6v46ijjsJHPvKRnk5v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DadPkz52NE0G2PFOFEIQNPaGu1GIhFisZhuOEejUUpKSgpKjCBxjobdbtcbDScjTkbRSSROifoN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\nokwZiyAaUQYFd0dQmm76/v7w7fvSCm50923h+6miSi5d3NNWF+eee5/nHG9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"text": [ "" ] } ], "prompt_number": 33 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Above you can see how scaling and PCA lead to a bit more balanced layout of some of the clusters, but we've still got some outliers. Not a huge deal, just another way to slice and look at the data." ] }, { "cell_type": "code", "collapsed": false, "input": [ "clusters = set()\n", "for name, blah in kmeans_df.groupby(['cluster', 'label'])['label']:\n", " if name[0] in clusters:\n", " print \"%s Cluster has both Malicious and Non-Malicious Samples\" % name[0]\n", " clusters.add(name[0])" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0 Cluster has both Malicious and Non-Malicious Samples\n", "1 Cluster has both Malicious and Non-Malicious Samples\n", "4 Cluster has both Malicious and Non-Malicious Samples\n", "7 Cluster has both Malicious and Non-Malicious Samples\n", "9 Cluster has both Malicious and Non-Malicious Samples\n", "15 Cluster has both Malicious and Non-Malicious Samples\n", "16 Cluster has both Malicious and Non-Malicious Samples\n" ] } ], "prompt_number": 34 }, { "cell_type": "code", "collapsed": false, "input": [ "sample_cluster = 4\n", "kmeans_df[kmeans_df['cluster'] == sample_cluster][engines].head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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SymantecSophosF-ProtKasperskyMcAfeeMalwarebytes
29 no detection no detection no detection no detection no detection no detection
57 no detection OSX/MusMinim-A no detection Backdoor.OSX.BlackHol.g no detection no detection
65 Backdoor.Trojan OSX/MusMinim-C no detection Backdoor.OSX.BlackHol.b no detection no detection
118 no detection no detection no detection no detection no detection no detection
119 no detection no detection no detection no detection no detection no detection
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5 rows \u00d7 6 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 38, "text": [ " Symantec Sophos F-Prot Kaspersky \\\n", "29 no detection no detection no detection no detection \n", "57 no detection OSX/MusMinim-A no detection Backdoor.OSX.BlackHol.g \n", "65 Backdoor.Trojan OSX/MusMinim-C no detection Backdoor.OSX.BlackHol.b \n", "118 no detection no detection no detection no detection \n", "119 no detection no detection no detection no detection \n", "\n", " McAfee Malwarebytes \n", "29 no detection no detection \n", "57 no detection no detection \n", "65 no detection no detection \n", "118 no detection no detection \n", "119 no detection no detection \n", "\n", "[5 rows x 6 columns]" ] } ], "prompt_number": 38 }, { "cell_type": "code", "collapsed": false, "input": [ "for eng in engines:\n", " print \"%s - %s\" %(eng, len(kmeans_df[kmeans_df['cluster'] == sample_cluster][eng].unique().tolist()))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Symantec - 8\n", "Sophos - 14\n", "F-Prot - 2\n", "Kaspersky - 12\n", "McAfee - 4\n", "Malwarebytes - 1\n" ] } ], "prompt_number": 39 }, { "cell_type": "markdown", "metadata": {}, "source": [ "
Below we're looking at MeanShift. Scikit learn is nice enough to tell us a bit about MeanShift usecases (Many clusters, uneven cluster size, non-flat geometry). This seems to, once again, fit our data pretty well. Maybe we can get some better/different layouts of clusters here." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from sklearn.cluster import MeanShift, estimate_bandwidth\n", "\n", "X = df.as_matrix(cols)\n", "X = scale(X)\n", "\n", "ebw = estimate_bandwidth(X)\n", "ms1 = MeanShift(bandwidth=ebw)\n", "ms1.fit(X)\n", "\n", "labels1 = ms1.labels_\n", "labels1_u = np.unique(labels1)\n", "nclusters = len(labels1_u)\n", "\n", "meanshift_df = pd.DataFrame()\n", "meanshift_df = df[['label', 'filename', 'positives'] + engines]\n", "meanshift_df['cluster'] = labels1\n", "\n", "print \"Estimated Bandwidth: %s\" % ebw\n", "print \"Number of clusters: %d\" % nclusters" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Estimated Bandwidth: 7.16015407847\n", "Number of clusters: 29\n" ] } ], "prompt_number": 40 }, { "cell_type": "code", "collapsed": false, "input": [ "X = df.as_matrix(cols)\n", "X = scale(X)\n", "X = PCA(n_components=3).fit_transform(X)\n", "\n", "figsize(12,8)\n", "fig = plt.figure(figsize=plt.figaspect(.5))\n", "ax = fig.add_subplot(1, 2, 1, projection='3d')\n", "ax.scatter(X[:,0], X[:,1], X[:,2], c=meanshift_df['cluster'], s=50)\n", "ax.set_title(\"MeanShift Clusters\")\n", "ax = fig.add_subplot(1, 2, 2, projection='3d')\n", "ax.set_xlim(-10,2)\n", "ax.set_ylim(15,30)\n", "ax.set_zlim(-20,0)\n", "ax.scatter(X[:,0], X[:,1], X[:,2], c=meanshift_df['cluster'], s=50)\n", "ax.set_title(\"MeanShift Clusters (zoomed in)\")\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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TjF19YqPRgKIoHZG7KIrTjTd13FuC20UdKS9fFMWOrl5xW/+w4aYY384pYdUo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ynIPLJmzRrmfOWL1DcFGXMULHlB4paf38i9/+8hjjvuuC5/e9xxxzFp0hTeeAM0bRJgR9Nq6Pxc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\ndYJyWorRaHR5py25DsKZRrE4Wq0WrVbrsMsmm9PyFL5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BXnPKJYqiIoKiKCr3d6fMpyzt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\nioqKq1mwYAEvvfQS169fp0aNGp4OxyVIkkRmZiYpKSmkpaXRrFkzEhMT6dy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"text": [ "" ] } ], "prompt_number": 41 }, { "cell_type": "code", "collapsed": false, "input": [ "meanshift_df.cluster.value_counts().head(10)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 42, "text": [ "0 564\n", "1 21\n", "2 8\n", "3 6\n", "4 6\n", "8 4\n", "5 3\n", "6 2\n", "7 2\n", "9 2\n", "dtype: int64" ] } ], "prompt_number": 42 }, { "cell_type": "code", "collapsed": false, "input": [ "clusters = set()\n", "for name, blah in meanshift_df.groupby(['cluster', 'label'])['label']:\n", " if name[0] in clusters:\n", " print \"%s Cluster has both Malicious and Non-Malicious Samples\" % name[0]\n", " clusters.add(name[0])" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0 Cluster has both Malicious and Non-Malicious Samples\n", "1 Cluster has both Malicious and Non-Malicious Samples\n" ] } ], "prompt_number": 43 }, { "cell_type": "code", "collapsed": false, "input": [ "sample_cluster = 2\n", "meanshift_df[meanshift_df['cluster'] == sample_cluster][engines].head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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SymantecSophosF-ProtKasperskyMcAfeeMalwarebytes
136 OSX.Crisis OSX/Morcut-E no detection Backdoor.OSX.Morcut.m RDN/Generic BackDoor!ea no detection
137 OSX.Crisis OSX/Morcut-E no detection Backdoor.OSX.Morcut.m RDN/Generic BackDoor!ea no detection
162 no result OSX/Morcut-D no detection Backdoor.OSX.Morcut.c no detection no detection
163 no result OSX/Morcut-D no detection Backdoor.OSX.Morcut.c no detection no detection
273 OSX.Crisis OSX/Morcut-A no detection Backdoor.OSX.Morcut.a OSX/Morcut no detection
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5 rows \u00d7 6 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 44, "text": [ " Symantec Sophos F-Prot Kaspersky \\\n", "136 OSX.Crisis OSX/Morcut-E no detection Backdoor.OSX.Morcut.m \n", "137 OSX.Crisis OSX/Morcut-E no detection Backdoor.OSX.Morcut.m \n", "162 no result OSX/Morcut-D no detection Backdoor.OSX.Morcut.c \n", "163 no result OSX/Morcut-D no detection Backdoor.OSX.Morcut.c \n", "273 OSX.Crisis OSX/Morcut-A no detection Backdoor.OSX.Morcut.a \n", "\n", " McAfee Malwarebytes \n", "136 RDN/Generic BackDoor!ea no detection \n", "137 RDN/Generic BackDoor!ea no detection \n", "162 no detection no detection \n", "163 no detection no detection \n", "273 OSX/Morcut no detection \n", "\n", "[5 rows x 6 columns]" ] } ], "prompt_number": 44 }, { "cell_type": "code", "collapsed": false, "input": [ "for eng in engines:\n", " print \"%s - %s\" %(eng, len(kmeans_df[kmeans_df['cluster'] == sample_cluster][eng].unique().tolist()))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Symantec - 1\n", "Sophos - 1\n", "F-Prot - 1\n", "Kaspersky - 1\n", "McAfee - 1\n", "Malwarebytes - 1\n" ] } ], "prompt_number": 45 }, { "cell_type": "code", "collapsed": false, "input": [ "X = df.as_matrix(cols)\n", "X = scale(X)\n", "X = PCA(n_components=n_comp).fit_transform(X)\n", "\n", "ebw = estimate_bandwidth(X)\n", "ms1 = MeanShift(bandwidth=ebw)\n", "ms1.fit(X)\n", "\n", "labels1 = ms1.labels_\n", "labels1_u = np.unique(labels1)\n", "nclusters = len(labels1_u)\n", "\n", "meanshift_df = pd.DataFrame()\n", "meanshift_df = df[['label', 'filename', 'positives'] + engines]\n", "meanshift_df['cluster'] = labels1\n", "\n", "print \"Estimated Bandwidth: %s\" % ebw\n", "print \"Number of clusters: %d\" % nclusters\n", "print\n", "print \"Cluster/Sample Layout\"\n", "print df.cluster.value_counts().head(10)\n", "print\n", "\n", "df['cluster'] = meanshift_df['cluster']\n", "# Once again we can remove, in this case, the largest cluster for a less dense graph\n", "tempdf = df[df['cluster'] != 0].reset_index(drop=True)\n", "X = tempdf.as_matrix(cols)\n", "X = scale(X)\n", "X = PCA(n_components=3).fit_transform(X)\n", "\n", "figsize(12,8)\n", "fig = plt.figure(figsize=plt.figaspect(.5))\n", "ax = fig.add_subplot(1, 2, 1, projection='3d')\n", "ax.scatter(X[:,0], X[:,1], X[:,2], c=tempdf['cluster'], s=50)\n", "ax.set_title(\"MeanShift Clusters\")\n", "ax = fig.add_subplot(1, 2, 2, projection='3d')\n", "ax.set_xlim(-10,2)\n", "ax.set_ylim(15,30)\n", "ax.set_zlim(-20,0)\n", "ax.scatter(X[:,0], X[:,1], X[:,2], c=tempdf['cluster'], s=50)\n", "ax.set_title(\"MeanShift Clusters (zoomed in)\")\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Estimated Bandwidth: 6.11808339375\n", "Number of clusters: 25\n", "\n", "Cluster/Sample Layout\n", "0 154\n", "15 151\n", "9 97\n", "1 81\n", "16 53\n", "7 40\n", "4 28\n", "14 17\n", "11 6\n", "12 4\n", "dtype: int64\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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pIJvNGscnCIIgvNOvBtbrdRSLRYyOjmLnzp34+te/Pu7YnbQsSA2cPHkyXnnlFciyDF3X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vI8r5bpNBqaRiwCUJfZA4FATXULVoCILR6P27qM3draitbWVvXfC+77G9btMwbS8JFAIo5IUEIo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"text": [ "" ] } ], "prompt_number": 46 }, { "cell_type": "code", "collapsed": false, "input": [ "clusters = set()\n", "for name, blah in meanshift_df.groupby(['cluster', 'label'])['label']:\n", " if name[0] in clusters:\n", " print \"%s Cluster has both Malicious and Non-Malicious Samples\" % name[0]\n", " clusters.add(name[0])" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0 Cluster has both Malicious and Non-Malicious Samples\n", "1 Cluster has both Malicious and Non-Malicious Samples\n" ] } ], "prompt_number": 47 }, { "cell_type": "code", "collapsed": false, "input": [ "sample_cluster = 2\n", "meanshift_df[meanshift_df['cluster'] == sample_cluster][engines].head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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SymantecSophosF-ProtKasperskyMcAfeeMalwarebytes
136 OSX.Crisis OSX/Morcut-E no detection Backdoor.OSX.Morcut.m RDN/Generic BackDoor!ea no detection
137 OSX.Crisis OSX/Morcut-E no detection Backdoor.OSX.Morcut.m RDN/Generic BackDoor!ea no detection
162 no result OSX/Morcut-D no detection Backdoor.OSX.Morcut.c no detection no detection
163 no result OSX/Morcut-D no detection Backdoor.OSX.Morcut.c no detection no detection
273 OSX.Crisis OSX/Morcut-A no detection Backdoor.OSX.Morcut.a OSX/Morcut no detection
\n", "

5 rows \u00d7 6 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 48, "text": [ " Symantec Sophos F-Prot Kaspersky \\\n", "136 OSX.Crisis OSX/Morcut-E no detection Backdoor.OSX.Morcut.m \n", "137 OSX.Crisis OSX/Morcut-E no detection Backdoor.OSX.Morcut.m \n", "162 no result OSX/Morcut-D no detection Backdoor.OSX.Morcut.c \n", "163 no result OSX/Morcut-D no detection Backdoor.OSX.Morcut.c \n", "273 OSX.Crisis OSX/Morcut-A no detection Backdoor.OSX.Morcut.a \n", "\n", " McAfee Malwarebytes \n", "136 RDN/Generic BackDoor!ea no detection \n", "137 RDN/Generic BackDoor!ea no detection \n", "162 no detection no detection \n", "163 no detection no detection \n", "273 OSX/Morcut no detection \n", "\n", "[5 rows x 6 columns]" ] } ], "prompt_number": 48 }, { "cell_type": "code", "collapsed": false, "input": [ "for eng in engines:\n", " print \"%s - %s\" %(eng, len(kmeans_df[kmeans_df['cluster'] == sample_cluster][eng].unique().tolist()))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Symantec - 1\n", "Sophos - 1\n", "F-Prot - 1\n", "Kaspersky - 1\n", "McAfee - 1\n", "Malwarebytes - 1\n" ] } ], "prompt_number": 49 }, { "cell_type": "markdown", "metadata": {}, "source": [ "It seems we've run into a similar case with MeanShift as with DBSCAN. Instead of being unlabed, we wound up with one cluster with the majority of samples. In the second set of graphs the large cluster was removed in order to better see the remaining samples.\n", "\n", "Overall, it's important to see how using different algorithms can impact the end result. Understanding that impact when trying to transfer knowledge from one domain to another is also important. This way it's possible to see how the various cluster techniques can lead to different Yara signatures which will fire on different sets of files. When dealing with large amounts of malware, this is one way to group existing and detect new potential variants of the same family.\n", "\n", "Good luck and happy hunting!\n", "
" ] } ], "metadata": {} } ] }