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OALabs/iocs

0
View on GitHub↗
0 stars·0 forks·8 views

Iocs

Features

  • Malware Detection Rules - Machine-readable indicators for automated malware analysis.

Star history

Star history chart for oalabs/iocsStar history chart for oalabs/iocs

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What are the main features of oalabs/iocs?

The main features of oalabs/iocs are: Malware Detection Rules.

Which projects share features with oalabs/iocs?

Projects with overlapping indexed features include: virustotal/yara — YARA is a pattern matching engine and binary analysis tool used to identify and classify malware samples. It functions… advanced-threat-research/yara-rules — Repository of YARA rules made by Trellix ATR Team. citizenlab/malware-signatures — Yara rules for malware families seen as part of targeted threats project. inquest/yara-rules — A collection of YARA rules we wish to share with the world, most probably referenced from http://blog.inquest.net. intezer/yara-rules. kevthehermit/yararules — My Yara Rules Collection.

Projects sharing features with Iocs

These projects share indexed features with Iocs. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • virustotal/yaraVirusTotal avatar

    VirusTotal/yara

    9,420View on GitHub↗

    YARA is a pattern matching engine and binary analysis tool used to identify and classify malware samples. It functions as a malware research framework that allows for the definition of file descriptions and detection rules to find indicators of compromise within binaries. The system enables the creation of custom detection rules using strings, wildcards, and regular expressions. These rules use boolean logic to match textual or binary patterns, allowing for the classification of files into specific malware families and the automation of threat intelligence. The engine utilizes Aho-Corasick s

    Cyara
    View on GitHub↗9,420
  • citizenlab/malware-signaturescitizenlab avatar

    citizenlab/malware-signatures

    143View on GitHub↗

    Yara rules for malware families seen as part of targeted threats project

    VimL
    View on GitHub↗143
  • inquest/yara-rulesInQuest avatar

    InQuest/yara-rules

    390View on GitHub↗

    A collection of YARA rules we wish to share with the world, most probably referenced from http://blog.inquest.net.

    Python
    View on GitHub↗390
  • advanced-threat-research/yara-rulesadvanced-threat-research avatar

    advanced-threat-research/Yara-Rules

    626View on GitHub↗

    Repository of YARA rules made by Trellix ATR Team

    YARA
    View on GitHub↗626
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