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11 dépôts

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

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • virustotal/yaraAvatar de VirusTotal

    VirusTotal/yara

    9,420Voir sur 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

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

    Cyara
    Voir sur GitHub↗9,420
  • yara-rules/rulesAvatar de Yara-Rules

    Yara-Rules/rules

    4,712Voir sur GitHub↗

    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
    Voir sur GitHub↗4,712
  • reversinglabs/reversinglabs-yara-rulesAvatar de reversinglabs

    reversinglabs/reversinglabs-yara-rules

    922Voir sur GitHub↗

    ReversingLabs YARA Rules

    Professional-grade rules for identifying malicious file characteristics.

    YARA
    Voir sur GitHub↗922
  • advanced-threat-research/yara-rulesAvatar de advanced-threat-research

    advanced-threat-research/Yara-Rules

    626Voir sur GitHub↗

    Repository of YARA rules made by Trellix ATR Team

    Security research-grade rules for identifying malicious threats.

    YARA
    Voir sur GitHub↗626
  • inquest/yara-rulesAvatar de InQuest

    InQuest/yara-rules

    390Voir sur GitHub↗

    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
    Voir sur GitHub↗390
  • citizenlab/malware-signaturesAvatar de citizenlab

    citizenlab/malware-signatures

    143Voir sur GitHub↗

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

    Specific rules for identifying malware used in targeted attacks.

    VimL
    Voir sur GitHub↗143
  • intezer/yara-rulesAvatar de intezer

    intezer/yara-rules

    131Voir sur GitHub↗

    Rules for identifying malware based on code analysis.

    YARA
    Voir sur GitHub↗131
  • x64dbg/yarasigsAvatar de x64dbg

    x64dbg/yarasigs

    87Voir sur GitHub↗

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

    Signatures for identifying various malicious file types.

    YARA
    Voir sur GitHub↗87
  • kevthehermit/yararulesAvatar de kevthehermit

    kevthehermit/YaraRules

    52Voir sur GitHub↗

    My Yara Rules Collection

    Personal collection of rules for malware detection.

    Voir sur GitHub↗52
  • 0pc0defr/yararulesAvatar de 0pc0deFR

    0pc0deFR/YaraRules

    33Voir sur GitHub↗

    YaraRules

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

    YARA
    Voir sur GitHub↗33
  • oalabs/iocsO

    OALabs/iocs

    0Voir sur GitHub↗

    Machine-readable indicators for automated malware analysis.

    Voir sur GitHub↗0
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Explorer les sous-tags

  • 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.