DFIR SANS360 Talks

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Context LYNXeon is our tool for network data analysis. Designed as a framework to run analytics. An analytic in LYNXeon is a set of search parameters for a database query. – Example: Show me all traffic from this IP address. The base analytics are good for situational awareness and some hunting for incidents. The Air Force likes it! 160
Context Continued: Behavioral Analysis Hunting, rather than monitoring. No signatures. Takes a human with knowledge of the network to see the patterns. Much more fun than watching alerts! 161
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Registry Decoder • Originally fun
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Registry Decoder Offline • Used t
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Browsing • Similar to Access Data
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Plugins • Full plugin system, eac
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Searching - The Best Part!! • No
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Reporting • We wanted to be able
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TRIAGE Standardizing Remote IR Coll
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Our Problem • Slow Response Time
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Our Actions - After Triage • Auto
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What does it do? • Runs Sysintern
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Quick Hits • Start Up Info • AV
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CASE STUDY
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Triage Received - AV Logs analyzed
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Wait what was that?? • Yes we hav
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What hit me? • Gammima.AG • Gam
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Triage Timings • 5hr 25 Minutes
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Who Created Triage?
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"All our knowledge is the offspring
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The REALITY of the depiction DOESN'
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By the time a person reaches physic
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The Midline moves down towards the
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Growth & Development of the Face 7
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Before you reach for your slide rul
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5 Step Age Estimation Process 1. Ro
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3 Years Old
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9 Years Old
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15 Years Old
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25 Years Old
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"All our knowledge is the offspring
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SANS360 Registry, UserAssist, and V
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VSCs Does old data every completely
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UserAssist Info from the Registry N
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Questions? Harlan Carvey harlanc@ap
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Kitteh Porn!
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Emperor Rob Let's Meet Our Suspects
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Find the Common Images $ awk '{prin
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Eliminate "Known Goods" $ awk '{pri
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Lee-Ah and Emperor Rob? $ awk '{pri
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Thanks J-Michael!
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Automating Your Timeline Analysis i
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Background • • What about YARA?
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Log2timeline and YARA Together At L
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Example Rule private rule MFT_Hit {
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Summary • YARA rules can be used
Page 109 and 110: Overview What Are Fraudulent Docum
Page 111 and 112: What Are Fraudulent Documents Fraud
Page 113 and 114: Types of Fraud - Purchasing Indict
Page 115 and 116: Types of Fraud - Bid Rigging FBI a
Page 117 and 118: Word Documents Metadata Metadata i
Page 119 and 120: Word Documents Metadata Creating a
Page 121 and 122: Word Documents Metadata Printing D
Page 123 and 124: Red Flag #1 Company’s name should
Page 125 and 126: Red Flag #3 Creation dates shouldn
Page 127 and 128: Red Flag #5 No Metadata when metada
Page 129 and 130: Detection Process In Action Suspec
Page 131 and 132: Collect Documents Mixture of bids,
Page 133 and 134: Extract Metadata Run SquirrelGrippe
Page 135 and 136: Analyze Metadata Suspicious Documen
Page 137: What’s Next More Information Pap
Page 141: Pay no attention to the data behind
Page 153: Girl, Unallocated’s Open Source T
Page 157: Helmet of Problem Solving Dongle of
Page 162 and 163: The Challenge We get our first qua
Page 164 and 165: Bad Host! Bad! No Cookie! Easy to
Page 166 and 167: What are we doing again? Initial c
Page 168 and 169: Caveats Google, Akamai and Faceboo
Page 170: Questions & Discussion For future q
Page 173 and 174: • Registry values used to track a
Page 175 and 176: For Windows XP: C:\Documents and Se
Page 177 and 178: Live Registry: HK_USERS\(USERID)\Lo
Page 179 and 180: \Software\Microsoft\Windows\Shell\B
Page 181 and 182: TZWorks Windows Shellbag Parser (ht
Page 183 and 184: C:\>sbag usrclass.dat -csv > usrcla
Page 185 and 186: Unauthorized Access of Other Employ
Page 188 and 189: #SANS360 DFIR Summit 2012! Hi.. My
Page 190 and 191: Log2timeline! Reviewing log2timelin
Page 193 and 194: Now let’s try this on a real comp
Page 195 and 196: Log2timeline does a GREAT job of ma
Page 197 and 198: Data diagram of PoC Solution: Featu
Page 201 and 202: To do: • Find time (egoings@kpmg.
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