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ioc-extraction

Here are 22 public repositories matching this topic...

threat-intelligence-cti-analysis

An automated cybersecurity threat intelligence analysis pipeline that extracts indicators of compromise (IOCs), maps MITRE ATT&CK techniques, and builds knowledge graphs from unstructured CTI reports using NLP and LLMs. Features cross-platform compatibility and RESTful API for integration.

  • Updated Nov 3, 2025
  • Python

AI-assisted SOC/SIEM platform for forensic log analysis, threat detection, IOC extraction, threat intelligence correlation and enterprise incident reporting.

  • Updated May 11, 2026
  • Python
TotalOSINT

TotalOSINT is a privacy-first, client-side OSINT toolkit for security analysts. Instantly extract IOCs (IPs, Domains, Hashes) from raw logs and launch bulk investigations across dozens of threat intelligence sources. Zero-data-persistence workflow for SOC and DFIR teams. No installation required.

  • Updated Apr 27, 2026
  • HTML

End-to-end phishing investigation playbook covering email analysis, KQL hunting, identity compromise assessment, IOC extraction, threat hunting, detection opportunities, and remediation.

  • Updated Jun 2, 2026

A modular C++17 framework for static and simulated dynamic malware analysis. Computes file hashes, parses PE headers, extracts strings, calculates entropy, matches YARA-like rules, predicts runtime behavior, and generates threat reports. Built with Factory, Strategy, Observer, and Singleton design patterns. Defensive only.

  • Updated Jun 2, 2026
  • C++

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