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Copyright©2019 nao_sec All Rights Reserved.
tknk_scanner V2:
Community-based integrated malware identification system
Cyber Defense Institute, Inc.
Shota Nakajima, Keita Nomura
Copyright©2019 nao_sec All Rights Reserved.
Who are we
Copyright©2019 nao_sec All Rights Reserved.
Background
• Sometimes we encounter unknown malware
• Using Antivirus software or Virus Total, yara, etc.
• However, the detection name may not be correct or may not be useful
• Do you want to analyze similar malware over and over?
• We would like to do other fun jobs
• Utilize past analysis results and published information
Copyright©2019 nao_sec All Rights Reserved.
What is tknk_scanner
• Automatic identification and classification of malware
• Scan the original malware code with yara
• Dumps original malware code
• You can easily get the original code
• Community-based
• Integrates multiple Open Source Software and free tools
• User-friendly Web-UI
• Users can submit malware and check scan results using the Web-UI
• Packet capture and network-based scanning mode[New!]
• Use tcpdump and Suricata
Copyright©2019 nao_sec All Rights Reserved.
Concept
• We don’t want to analyze known malware manually
• If malware is obfuscated/encrypt/encode, use debuggers or
other techniques
• We cannot get good result with yara
• Malware works most of the time
• Except: evasive malware and APT Malware
• Original code of malware is copied in the memory
• It is useful to automatically dump the original code in
memory and automatically identify the malware
Copyright©2019 nao_sec All Rights Reserved.
System Overview
Web UI
tknk.py
REST API
xmlrpc_client.py
mongoDB
db update
xmlrpc_server.py
VM
XML-RPC
redis
dump modules
CLI
Copyright©2019 nao_sec All Rights Reserved.
Features
• Scan
• Mode
• hollows_hunter, procdump, diff
• yara
• With the rules you own
• Additional Information
• python-magic
• Detect it easy
• Detect It Easy is a packer identifier
• https://github.com/horsicq/Detect-It-Easy
• avclass
• AVClass is a malware labeling tool.
• https://github.com/malicialab/avclass
You give it as input the AV labels for a large number of malware
samples and it outputs the most likely family name for each
sample that it can extract from the AV labels.
Copyright©2019 nao_sec All Rights Reserved.
Features [New!]
• Network Scan
• It allows the scanner to use network based
signatures (snot rules, suricata rules)
• Connections
• It provides connection information of
the process at running malware
Copyright©2019 nao_sec All Rights Reserved.
Scan
Copyright©2019 nao_sec All Rights Reserved.
hollows_hunter
• hollows_hunter developed by @hasherezade
• https://github.com/hasherezade/hollows_hunter
• A process scanner detecting and
dumping hollowed PE modules
• Uses PE-sieve (DLL version)
• It has powerful features
• Recognizes and dumps variety of implants within
the scanned process: replaced/injected PEs,
shellcodes, hooks, and other in-memory patches
Copyright©2019 nao_sec All Rights Reserved.
Procdump
• Windows Sysinternals
• https://docs.microsoft.com/en-us/sysinternals/downloads/procdump
• Execute the following command
• procdump.exe -t -ma PID
• Write a dump when the process terminates or after a specified time
• Please note that the size of file is large
• Parsed by memory area [New!]
Copyright©2019 nao_sec All Rights Reserved.
DEMO Movie
Copyright©2019 nao_sec All Rights Reserved.
Limitations
• tknk_scanner does not include signature
• You can download the public yara rule
• https://github.com/Yara-Rules/rules
• You can download the ETOpen rules
• https://rules.emergingthreats.net/
• Matching signature does not exist
• Please write your own yara rule and share it
• Dump fails
• Try manual analysis
• tknk_scanner is not …
• Sandbox
• Using Cuckoo Sandbox
• Antivirus scanner
• Using IRMA
Copyright©2019 nao_sec All Rights Reserved.
Thank you!!
Any Questions?
https://github.com/nao-sec/tknk_scanner
Twitter: @nao_sec @PINKSAWTOOTH @nomuken
personal account

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[cb22] Mal-gopherとは?Go系マルウェアの分類のためのgimpfuzzy実装と評価 by 澤部 祐太, 甘粕 伸幸, 野村 和也
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[CB19] tknk_scanner v2:community-based integrated malware identification system by Shota Nakajima, Keita Nomura

  • 1. Copyright©2019 nao_sec All Rights Reserved. tknk_scanner V2: Community-based integrated malware identification system Cyber Defense Institute, Inc. Shota Nakajima, Keita Nomura
  • 2. Copyright©2019 nao_sec All Rights Reserved. Who are we
  • 3. Copyright©2019 nao_sec All Rights Reserved. Background • Sometimes we encounter unknown malware • Using Antivirus software or Virus Total, yara, etc. • However, the detection name may not be correct or may not be useful • Do you want to analyze similar malware over and over? • We would like to do other fun jobs • Utilize past analysis results and published information
  • 4. Copyright©2019 nao_sec All Rights Reserved. What is tknk_scanner • Automatic identification and classification of malware • Scan the original malware code with yara • Dumps original malware code • You can easily get the original code • Community-based • Integrates multiple Open Source Software and free tools • User-friendly Web-UI • Users can submit malware and check scan results using the Web-UI • Packet capture and network-based scanning mode[New!] • Use tcpdump and Suricata
  • 5. Copyright©2019 nao_sec All Rights Reserved. Concept • We don’t want to analyze known malware manually • If malware is obfuscated/encrypt/encode, use debuggers or other techniques • We cannot get good result with yara • Malware works most of the time • Except: evasive malware and APT Malware • Original code of malware is copied in the memory • It is useful to automatically dump the original code in memory and automatically identify the malware
  • 6. Copyright©2019 nao_sec All Rights Reserved. System Overview Web UI tknk.py REST API xmlrpc_client.py mongoDB db update xmlrpc_server.py VM XML-RPC redis dump modules CLI
  • 7. Copyright©2019 nao_sec All Rights Reserved. Features • Scan • Mode • hollows_hunter, procdump, diff • yara • With the rules you own • Additional Information • python-magic • Detect it easy • Detect It Easy is a packer identifier • https://github.com/horsicq/Detect-It-Easy • avclass • AVClass is a malware labeling tool. • https://github.com/malicialab/avclass You give it as input the AV labels for a large number of malware samples and it outputs the most likely family name for each sample that it can extract from the AV labels.
  • 8. Copyright©2019 nao_sec All Rights Reserved. Features [New!] • Network Scan • It allows the scanner to use network based signatures (snot rules, suricata rules) • Connections • It provides connection information of the process at running malware
  • 9. Copyright©2019 nao_sec All Rights Reserved. Scan
  • 10. Copyright©2019 nao_sec All Rights Reserved. hollows_hunter • hollows_hunter developed by @hasherezade • https://github.com/hasherezade/hollows_hunter • A process scanner detecting and dumping hollowed PE modules • Uses PE-sieve (DLL version) • It has powerful features • Recognizes and dumps variety of implants within the scanned process: replaced/injected PEs, shellcodes, hooks, and other in-memory patches
  • 11. Copyright©2019 nao_sec All Rights Reserved. Procdump • Windows Sysinternals • https://docs.microsoft.com/en-us/sysinternals/downloads/procdump • Execute the following command • procdump.exe -t -ma PID • Write a dump when the process terminates or after a specified time • Please note that the size of file is large • Parsed by memory area [New!]
  • 12. Copyright©2019 nao_sec All Rights Reserved. DEMO Movie
  • 13. Copyright©2019 nao_sec All Rights Reserved. Limitations • tknk_scanner does not include signature • You can download the public yara rule • https://github.com/Yara-Rules/rules • You can download the ETOpen rules • https://rules.emergingthreats.net/ • Matching signature does not exist • Please write your own yara rule and share it • Dump fails • Try manual analysis • tknk_scanner is not … • Sandbox • Using Cuckoo Sandbox • Antivirus scanner • Using IRMA
  • 14. Copyright©2019 nao_sec All Rights Reserved. Thank you!! Any Questions? https://github.com/nao-sec/tknk_scanner Twitter: @nao_sec @PINKSAWTOOTH @nomuken personal account