{"nbformat_minor": 0, "cells": [{"source": "## General info\nDates of interest\n\n* 01/06/2015\n* 01/27/2015\n* 12/11/2014\n\nTimeframes of interest : Between 4 and 6 PM (but should still consider the entire day)\n\nKeywords: JPMorgan, wire, transfer", "cell_type": "markdown", "metadata": {}}, {"source": "## Mounting the image\nMounting the image read-only with NTFS specific parameters", "cell_type": "markdown", "metadata": {}}, {"execution_count": null, "cell_type": "code", "source": "mount -o ro,loop,show_sys_files,streams_interface=windows /mnt/hgfs/ssd/039533.001 /mnt/usb/", "outputs": [], "metadata": {"collapsed": true, "trusted": false}}, {"source": "## Creating timeline\nUsed 'log2timeline' from SANS SIFT VM\nImage local time is set to CET (Paris time)\nOutput format set to CSV", "cell_type": "markdown", "metadata": {}}, {"execution_count": null, "cell_type": "code", "source": "log2timeline -z CET -r -p -f win7 -o csv -w /cases/bodyfile /mnt/usb", "outputs": [], "metadata": {"collapsed": true, "trusted": false}}, {"source": "## Analyzing the timeline using Apache Spark\nTimeline analysis can be difficult and very time consuming if the CSV files are too large, or if we have multiple images to go through.\n\nSpark can make that job much easier and more efficient.", "cell_type": "markdown", "metadata": {}}, {"execution_count": null, "cell_type": "code", "source": "# Create a Spark SQL context\nfrom pyspark.sql import SQLContext\nsqlContext = SQLContext(sc)\n\n# Load CSV files into a Spark DataFrame\ndf = sqlContext.load(source=\"com.databricks.spark.csv\", header=\"true\", path = \"/user/cloudera/bodyfile\")", "outputs": [], "metadata": {"collapsed": false, "trusted": false}}, {"execution_count": 99, "cell_type": "code", "source": "# Count the number of rows in the DataFrame and the schema from the CSV\ndf.printSchema()\ndf.count()", "outputs": [{"output_type": "stream", "name": "stdout", "text": "root\n |-- date: string (nullable = true)\n |-- time: string (nullable = true)\n |-- timezone: string (nullable = true)\n |-- MACB: string (nullable = true)\n |-- source: string (nullable = true)\n |-- sourcetype: string (nullable = true)\n |-- type: string (nullable = true)\n |-- user: string (nullable = true)\n |-- host: string (nullable = true)\n |-- short: string (nullable = true)\n |-- desc: string (nullable = true)\n |-- version: string (nullable = true)\n |-- filename: string (nullable = true)\n |-- inode: string (nullable = true)\n |-- notes: string (nullable = true)\n |-- format: string (nullable = true)\n |-- extra: string (nullable = true)\n\n"}, {"execution_count": 99, "output_type": "execute_result", "data": {"text/plain": "1322918L"}, "metadata": {}}], "metadata": {"scrolled": true, "collapsed": false, "trusted": false}}, {"execution_count": null, "cell_type": "code", "source": "# This displays the DataFrame's column names based on the CSV header\ndf.columns", "outputs": [], "metadata": {"collapsed": false, "trusted": false}}, {"execution_count": null, "cell_type": "code", "source": "# Register the DataFrame as a Spark SQL table called 'tl' so we can run queries using SQL syntax\nsqlContext.registerDataFrameAsTable(df, 'tl')\n# Cache the table in memory for faster lookups\nsqlContext.cacheTable('tl')\n\n#RDD Name\tStorage Level\tCached Partitions\tFraction Cached\tSize in Memory\tSize in Tachyon\tSize on Disk\n#In-memory table tl\tMemory Deserialized 1x Replicated\t5\t100%\t286.2 MB\t0.0 B\t0.0 B", "outputs": [], "metadata": {"collapsed": true, "trusted": false}}, {"source": "### Keyword search\n#### Did the user execute any files that seem potentially malicious?", "cell_type": "markdown", "metadata": {}}, {"execution_count": 92, "cell_type": "code", "source": "# Collect all the rows into a Python list that only contains rows matching certain conditions\nfiltered = sqlContext.sql(\"select * from tl where `date` like '01/%/2015' and short like '%wire%'\").collect()\n\n# Print out the results\nfor i in filtered:\n    print i.date+\" \"+i.time+\" \"+i.source+\" \"+i.MACB+\" \"+i.short+\" \"+i.desc", "outputs": [{"output_type": "stream", "name": "stdout", "text": "01/28/2015 11:54:42 FILE MAC. /Users/user.name/AppData/Local/Temp/Temp1_wire_tr91297.zip /Users/user.name/AppData/Local/Temp/Temp1_wire_tr91297.zip\n01/27/2015 16:29:25 FILE ...B /Users/user.name/AppData/Local/Temp/Temp1_wire_tr91297.zip /Users/user.name/AppData/Local/Temp/Temp1_wire_tr91297.zip\n01/27/2015 16:29:38 REG MACB C:/Users/user.name/AppData/Local/Temp/Temp1_wire_tr91297.zip/wire_tr91297_pdf.exe C:/Users/user.name/AppData/Local/Temp/Temp1_wire_tr91297.zip/wire_tr91297_pdf.exe [Count: 0]  nr. of times app had focus: 0 and duration of focus: 0ms\n01/27/2015 16:30:08 REG MACB CMI-CreateHive{199DAFC2-6F16-4946-BF90-5A3FC3A60902}/Wow6432Node/Microsoft/Tracing/wire_tr91297_pdf_RASAPI32  Key name: HKLM/SoftwareCMI-CreateHive{199DAFC2-6F16-4946-BF90-5A3FC3A60902}/Wow6432Node/Microsoft/Tracing/wire_tr91297_pdf_RASAPI32 \n01/27/2015 16:30:08 REG MACB CMI-CreateHive{199DAFC2-6F16-4946-BF90-5A3FC3A60902}/Wow6432Node/Microsoft/Tracing/wire_tr91297_pdf_RASMANCS  Key name: HKLM/SoftwareCMI-CreateHive{199DAFC2-6F16-4946-BF90-5A3FC3A60902}/Wow6432Node/Microsoft/Tracing/wire_tr91297_pdf_RASMANCS \n01/27/2015 16:30:08 REG MACB CMI-CreateHive{199DAFC2-6F16-4946-BF90-5A3FC3A60902}/Wow6432Node/Microsoft/Tracing/wire_tr91297_pdf_RASAPI32  Key name: HKLM/SoftwareCMI-CreateHive{199DAFC2-6F16-4946-BF90-5A3FC3A60902}/Wow6432Node/Microsoft/Tracing/wire_tr91297_pdf_RASAPI32 \n01/27/2015 16:30:08 REG MACB CMI-CreateHive{199DAFC2-6F16-4946-BF90-5A3FC3A60902}/Wow6432Node/Microsoft/Tracing/wire_tr91297_pdf_RASMANCS  Key name: HKLM/SoftwareCMI-CreateHive{199DAFC2-6F16-4946-BF90-5A3FC3A60902}/Wow6432Node/Microsoft/Tracing/wire_tr91297_pdf_RASMANCS \n"}], "metadata": {"collapsed": false, "trusted": false}}, {"source": "- On 01/27/2015 the user appears to have executed a file named wire_tr91297_pdf.exe that was compressed as a ZIP file (Temp1_wire_tr91297.zip)\n- It was not possible to recover the file from the file-system\n- It would be reasonable to conclude this file was malware\n- We can be certain the malware was executed, but it is unclear whether it continued to run normally", "cell_type": "markdown", "metadata": {}}, {"source": "## System activity: Deleted files\n\n###On which dates were files deleted the most?", "cell_type": "markdown", "metadata": {}}, {"execution_count": 89, "cell_type": "code", "source": "deletedFilesDF = sqlContext.sql(\"SELECT `date`, short FROM tl WHERE `date` LIKE '%/%/2015' AND short LIKE '%DELETED%'\")\ndeletedFilesRowList = deletedFilesDF.collect()", "outputs": [], "metadata": {"collapsed": false, "trusted": false}}, {"execution_count": 90, "cell_type": "code", "source": "deletedFileListDate = []\ndeletedFileList = []\nfor deletedFile in deletedFilesRowList:\n    deletedFileListDate.append(deletedFile.date)\n    deletedFileList.append(deletedFile.short)", "outputs": [], "metadata": {"collapsed": false, "trusted": false}}, {"execution_count": 91, "cell_type": "code", "source": "import pandas as pd\nfrom collections import Counter\ndates = Counter(deletedFileListDate)\ncounts = dates\nindex = []\ndata = []\n\nfor k,v in counts.iteritems():\n    index.append(k)\n    data.append(v)\nts = pd.TimeSeries(data, index)\nfigure(num=None, figsize=(10, 8), dpi=80, facecolor='w', edgecolor='r')\nts.plot(kind=\"barh\")", "outputs": [{"execution_count": 91, "output_type": "execute_result", "data": {"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x8878490>"}, "metadata": {}}, {"output_type": "display_data", "data": {"image/png": 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2rHHu+o6aVuy0iIiIiKNrd9S0dU/jzMxMoqKiWL58ObNmzeL1119n//793HnnnW3+8Mce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\nRERkhh1kIiIiIiIz/wsl6fYukNuX2gAAAABJRU5ErkJggg==\n", "text/plain": "<matplotlib.figure.Figure at 0x759af10>"}, "metadata": {}}], "metadata": {"collapsed": false, "trusted": false}}, {"source": "#### Display the files that were deleted\n( limited it to 10 results to avoid bloating the notebook with results )", "cell_type": "markdown", "metadata": {"collapsed": true}}, {"execution_count": 114, "cell_type": "code", "source": "i = 0\nfor file in deletedFilesRowList:\n        if file.date == '07/15/2015' or file.date == '07/13/2015' or file.date == '08/11/2015':\n            if i < 10:\n                print file\n            i=i+1", "outputs": [{"output_type": "stream", "name": "stdout", "text": "Row(date=u'07/13/2015', short=u'DELETED C:/Users/user.name/AppData/Local/Microsoft/Windows/Temporary Internet Files/Content.IE5/J89JEAZT/xlviewerinternal[2].htm')\nRow(date=u'07/13/2015', short=u'DELETED C:/Users/user.name/AppData/Local/Microsoft/Windows/Temporary Internet Files/Content.IE5/J89JEAZT/ga[1].js')\nRow(date=u'07/15/2015', short=u'DELETED C:/Users/user.name/AppData/Local/Microsoft/Windows/Temporary Internet Files/Content.IE5/8MB82JIU/seg[7].htm')\nRow(date=u'07/15/2015', short=u'DELETED C:/Users/user.name/AppData/Local/Microsoft/Windows/Temporary Internet Files/Content.IE5/8MB82JIU/ddc[1].htm')\nRow(date=u'07/15/2015', short=u'DELETED C:/Users/user.name/AppData/Local/Microsoft/Windows/Temporary Internet Files/Content.IE5/8MB82JIU/comboCAJVJJYC.js')\nRow(date=u'07/15/2015', short=u'DELETED C:/Users/user.name/AppData/Local/Microsoft/Windows/Temporary Internet Files/Content.IE5/8MB82JIU/ctn[2].js')\nRow(date=u'07/13/2015', short=u'DELETED C:/Users/user.name/AppData/Local/Microsoft/Windows/Temporary Internet Files/Content.IE5/J89JEAZT/checkmark2[1].png')\nRow(date=u'07/13/2015', short=u'DELETED C:/Users/user.name/AppData/Local/Microsoft/Windows/Temporary Internet Files/Content.IE5/J89JEAZT/tro[1].js')\nRow(date=u'07/15/2015', short=u'DELETED C:/Users/user.name/AppData/Local/Microsoft/Windows/Temporary Internet Files/Content.IE5/8MB82JIU/expand[1].png')\nRow(date=u'07/15/2015', short=u'DELETED C:/Users/user.name/AppData/Local/Microsoft/Windows/Temporary Internet Files/Content.IE5/8MB82JIU/jouets[1].css')\n"}], "metadata": {"scrolled": false, "collapsed": false, "trusted": false}}, {"source": "- On 07/15/2015 and 07/13/2015 the user deleted browisng history\n- On 08/11/2015 an application was uninstalled", "cell_type": "markdown", "metadata": {}}, {"source": "### Web history on the dates in question", "cell_type": "markdown", "metadata": {}}, {"execution_count": 96, "cell_type": "code", "source": "visitedList = []\nmyDates = ['12/11/2014', '01/06/2015', '01/27/2015']\nfor i in myDates:\n    webhist = sqlContext.sql(\"select * from tl where source='WEBHIST' and `date` like '%s' limit 20 \" %(i) ).collect()\n    for i in webhist:\n        visitedList.append(i.date + \" \" + i.short)", "outputs": [], "metadata": {"collapsed": false, "trusted": false}}, {"execution_count": 115, "cell_type": "code", "source": "for i in visitedList:\n    dateurl = i.split(\" \")\n    url = dateurl[0] + \" \" + dateurl[2]\n    print url", "outputs": [{"output_type": "stream", "name": "stdout", "text": "12/11/2014 DOMStore:http://www.but.fr/\n12/11/2014 DOMStore:http://www.ikea.com/\n12/11/2014 DOMStore:http://www.conforama.fr/\n12/11/2014 DOMStore:http://www.lafourchette.com/\n12/11/2014 DOMStore:http://www.fleux.com/\n12/11/2014 DOMStore:https://order.cdiscount.com/\n12/11/2014 DOMStore:https://cdlc.iadvize.com/\n12/11/2014 http://s0.2mdn.net/1785842/BAU_AVEU_FR_0115_728x90_AvisPreferred_3rentals_x_FR.swf\n12/11/2014 https://apis.google.com/_/scs/abc-static/_/js/k=gapi.gapi.en.wgbKiK972Ko.O/m=gapi_iframes-googleapis_client-plusone/rt=j/sv=1/d=1/ed=1/rs=AItRSTOlX0YCaQmKijyj5lpKQ5AVm7UE6A/cb=gapi.loaded_0\n12/11/2014 fleux.com/\n12/11/2014 1281860200.log.optimizely.com/\n12/11/2014 lafourchette.d3.sc.omtrdc.net/\n12/11/2014 nextag.fr/\n12/11/2014 leapfrog.solution.weborama.fr/\n12/11/2014 www.lafourchette.com/\n12/11/2014 www.fleux.com/\n12/11/2014 easyrtg.com/\n12/11/2014 www.fly.fr/\n12/11/2014 www.laredoute.fr/\n12/11/2014 www.laredoute.fr/\n01/06/2015 DOMStore:http://www.santemagazine.fr/\n01/06/2015 DOMStore:http://www.famili.fr/\n01/06/2015 DOMStore:http://www.juritravail.com/\n01/06/2015  https://images-na.ssl-images-amazon.com/images/G/01/AUIClients/NavAuiAssets-c3d6aef5e35754fc73f6c2cbf007cb77ac51bd88.secure.min._V2_.css\n01/06/2015 https://s.yimg.com/zz/combo?nn/lib/metro/g/yui/yui-base_3.8.4.js\n01/06/2015 http:/site/cs/PSV9EMEA/cache/PT_EDITSCRIPT_FRA_win7_1.js\n01/06/2015 http:/site/cs/PSV9EMEA/cache/PT_PAGESCRIPT_FRA_win9_1.js\n01/06/2015 http:/site/cs/PSV9EMEA/cache/PT_GRIDSCRIPT_FRA_win9_1.js\n01/06/2015 http:/site/cs/PSV9EMEA/cache/PT_EDITSCRIPT_FRA_win8_1.js\n01/06/2015 http:/site/cs/PSV9EMEA/cache/PT_CALENDARSCRIPT_FRA_win5_1.js\n01/27/2015 https://cdn.pizzahut.be/fr/fr/pre-home/1.jpg\n01/27/2015 https://cdn.pizzahut.be/fr/fr/pre-home/2.jpg\n01/27/2015 DOMStore:http://www.hsbc.ca/\n01/27/2015  file:///C:/Users/NOGA~1.DJE/AppData/Local/Temp/BYM95UU3.htm\n01/27/2015 https://geo.query.yahoo.com/v1/public/yql?yhlVer=2&yhlClient=rapid&yhlS=978524434&yhlUA=ie9&yhlCT=2&yhlBTMS=1422364213869&yhlClientVer=3.22&yhlRnd=ax4Hcu442PVfh0D5&yhlCompressed=0\n01/27/2015 http:/site/psc/PSV9EMEA//EE/ERP/c/MANAGE_PURCHASE_ORDERS.PO_INQUIRY.GBL?BUSINESS_UNIT=FRA05&PO_ID=0000000050&PAGE=PO_LINE_INQ&Folder=MYFAVORITES&PortalActualURL=http%3a%2f%2fxxxxxxxxxx-web02.company.inc%3a7002%2fpsc%2fPSV9EMEA%2f/EE%2fERP%2fc%2fMANAGE_PURCHASE_ORDERS.PO_INQUIRY.GBL%3fBUSINESS_UNIT%3dFRA05%26PO_ID%3d0000000050%26PAGE%3dPO_LINE_INQ&PortalContentURL=http%3a%2f%2fxxxxxxxxxx-web02.company.inc%3a7002%2fpsc%2fPSV9EMEA%2f/EE%2fERP%2fc%2fMANAGE_PURCHASE_ORDERS.PO_INQUIRY.GBL&PortalContentProvider=ERP&PortalCRefLabel=CdA&PortalRegistryName=/EE&PortalServletURI=http%3a%2f%2fxxxxxxxxxx-web02.company.inc%3a7002%2fpsp%2fPSV9EMEA%2f&PortalURI=http%3a%2f%2fxxxxxxxxxx-web02.company.inc%%2fpsc%2fPSV9EMEA%2f&PortalHostNode=ERP&NoCrumbs=yes&PortalKeyStruct=yes\n01/27/2015 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