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11 Repos

Awesome GitHub RepositoriesMalware Detection Rules

Pattern matching rules for identifying malware and malicious files.

Explore 11 awesome GitHub repositories matching part of an awesome list · Malware Detection Rules. Refine with filters or upvote what's useful.

Awesome Malware Detection Rules GitHub Repositories

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  • virustotal/yaraAvatar von VirusTotal

    VirusTotal/yara

    9,420Auf GitHub ansehen↗

    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

    Identifies known malware families by matching files against specific textual and binary patterns.

    Cyara
    Auf GitHub ansehen↗9,420
  • yara-rules/rulesAvatar von Yara-Rules

    Yara-Rules/rules

    4,712Auf GitHub ansehen↗

    This project is a community-curated repository of YARA rules used to detect malware, webshells, and other malicious patterns in files. It serves as a dataset of signatures for identifying known malware families, software packers, and threat intelligence indicators. The collection provides specialized detection capabilities for identifying exploit kits and anti-analysis evasion techniques, such as anti-debugging and anti-virtualization methods. It also includes signatures for cryptographic algorithm detection and the identification of unauthorized remote administration tools on servers. The r

    Comprehensive repository of rules for malware identification.

    YARA
    Auf GitHub ansehen↗4,712
  • reversinglabs/reversinglabs-yara-rulesAvatar von reversinglabs

    reversinglabs/reversinglabs-yara-rules

    922Auf GitHub ansehen↗

    ReversingLabs YARA Rules

    Professional-grade rules for identifying malicious file characteristics.

    YARA
    Auf GitHub ansehen↗922
  • advanced-threat-research/yara-rulesAvatar von advanced-threat-research

    advanced-threat-research/Yara-Rules

    626Auf GitHub ansehen↗

    Repository of YARA rules made by Trellix ATR Team

    Security research-grade rules for identifying malicious threats.

    YARA
    Auf GitHub ansehen↗626
  • inquest/yara-rulesAvatar von InQuest

    InQuest/yara-rules

    390Auf GitHub ansehen↗

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

    Community-shared rules for identifying malicious file patterns.

    Python
    Auf GitHub ansehen↗390
  • citizenlab/malware-signaturesAvatar von citizenlab

    citizenlab/malware-signatures

    143Auf GitHub ansehen↗

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

    Specific rules for identifying malware used in targeted attacks.

    VimL
    Auf GitHub ansehen↗143
  • intezer/yara-rulesAvatar von intezer

    intezer/yara-rules

    131Auf GitHub ansehen↗

    Rules for identifying malware based on code analysis.

    YARA
    Auf GitHub ansehen↗131
  • x64dbg/yarasigsAvatar von x64dbg

    x64dbg/yarasigs

    87Auf GitHub ansehen↗

    Various Yara signatures (possibly to be included in a release later).

    Signatures for identifying various malicious file types.

    YARA
    Auf GitHub ansehen↗87
  • kevthehermit/yararulesAvatar von kevthehermit

    kevthehermit/YaraRules

    52Auf GitHub ansehen↗

    My Yara Rules Collection

    Personal collection of rules for malware detection.

    Auf GitHub ansehen↗52
  • 0pc0defr/yararulesAvatar von 0pc0deFR

    0pc0deFR/YaraRules

    33Auf GitHub ansehen↗

    YaraRules

    Rules for detecting compilers, packers, and protectors in files.

    YARA
    Auf GitHub ansehen↗33
  • oalabs/iocsO

    OALabs/iocs

    0Auf GitHub ansehen↗

    Machine-readable indicators for automated malware analysis.

    Auf GitHub ansehen↗0
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Unter-Tags erkunden

  • Sample ClassificationThe process of assigning malware samples to known families based on identified patterns. **Distinct from Malware Detection Rules:** Focuses on the classification result (family identification) rather than just the rules used for detection.