Collection of malware source code for a variety of platforms in an array of different programming languages.
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Updated
Nov 25, 2024 - Assembly
Collection of malware source code for a variety of platforms in an array of different programming languages.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
A curated list of awesome YARA rules, tools, and people.
Android Reverse-Engineering Workbench for VS Code
Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android
Scans all running processes. Recognizes and dumps a variety of potentially malicious implants (replaced/implanted PEs, shellcodes, hooks, in-memory patches).
Powershell module that can be used by Blue Teams, Incident Responders and System Administrators to hunt persistences implanted in Windows machines. Official Twitter/X account @PersistSniper. Made with ❤️ by @last0x00 and @dottor_morte
BinaryAlert: Serverless, Real-time & Retroactive Malware Detection.
a tool to perform static analysis of known vulnerabilities, trojans, viruses, malware & other malicious threats in docker images/containers and to monitor the docker daemon and running docker containers for detecting anomalous activities
ReversingLabs YARA Rules
APK/DEX detector for Windows, Linux and MacOS.
Malware Sample Sources
Linker/Compiler/Tool detector for Windows, Linux and MacOS.
TweetFeed collects Indicators of Compromise (IOCs) shared by the infosec community at Twitter. Here you will find malicious URLs, domains, IPs, and SHA256/MD5 hashes.
FCL (Fileless Command Lines) - Known command lines of fileless malicious executions
An open source framework for enterprise level automated analysis.
Drltrace is a library calls tracer for Windows and Linux applications.
Collection of private Yara rules.
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contribut…
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