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11 repositorios

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

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • virustotal/yaraAvatar de VirusTotal

    VirusTotal/yara

    9,420Ver en 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
    Ver en GitHub↗9,420
  • yara-rules/rulesAvatar de Yara-Rules

    Yara-Rules/rules

    4,712Ver en 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
    Ver en GitHub↗4,712
  • reversinglabs/reversinglabs-yara-rulesAvatar de reversinglabs

    reversinglabs/reversinglabs-yara-rules

    922Ver en GitHub↗

    ReversingLabs YARA Rules

    Professional-grade rules for identifying malicious file characteristics.

    YARA
    Ver en GitHub↗922
  • advanced-threat-research/yara-rulesAvatar de advanced-threat-research

    advanced-threat-research/Yara-Rules

    626Ver en GitHub↗

    Repository of YARA rules made by Trellix ATR Team

    Security research-grade rules for identifying malicious threats.

    YARA
    Ver en GitHub↗626
  • inquest/yara-rulesAvatar de InQuest

    InQuest/yara-rules

    390Ver en 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
    Ver en GitHub↗390
  • citizenlab/malware-signaturesAvatar de citizenlab

    citizenlab/malware-signatures

    143Ver en GitHub↗

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

    Specific rules for identifying malware used in targeted attacks.

    VimL
    Ver en GitHub↗143
  • intezer/yara-rulesAvatar de intezer

    intezer/yara-rules

    131Ver en GitHub↗

    Rules for identifying malware based on code analysis.

    YARA
    Ver en GitHub↗131
  • x64dbg/yarasigsAvatar de x64dbg

    x64dbg/yarasigs

    87Ver en GitHub↗

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

    Signatures for identifying various malicious file types.

    YARA
    Ver en GitHub↗87
  • kevthehermit/yararulesAvatar de kevthehermit

    kevthehermit/YaraRules

    52Ver en GitHub↗

    My Yara Rules Collection

    Personal collection of rules for malware detection.

    Ver en GitHub↗52
  • 0pc0defr/yararulesAvatar de 0pc0deFR

    0pc0deFR/YaraRules

    33Ver en GitHub↗

    YaraRules

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

    YARA
    Ver en GitHub↗33
  • oalabs/iocsO

    OALabs/iocs

    0Ver en GitHub↗

    Machine-readable indicators for automated malware analysis.

    Ver en GitHub↗0
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Explorar subetiquetas

  • 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.