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re-ioc-extraction

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Defensive IOC extraction from analyst evidence.

Data & Analytics#logs#evidence#normalization#extraction#defensive#malware-analysis#ioc
Authorhackersifu
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Extract and normalize defensive IOCs (domains, IPs, URLs, file hashes, mutexes, registry paths, file paths, user agents) from analyst-provided evidence such as strings output, sandbox logs, network logs, or reverse engineering notes. Use when the user wants IOCs for detection, blocking, hunting, or reporting.

Core Features & Use Cases

  • Traceable Output: Produce a Markdown IOC table and a structured YAML IOC list with only evidence-derived indicators.
  • Evidence-Driven: Operate strictly on provided strings/logs/notes and clearly indicate data gaps.
  • Use Case: Analysts can generate endpoint IOCs from logs to feed detection rules and incident reports.

Quick Start

Run the IOC extraction on the provided analyst evidence to generate a Markdown IOC table and a YAML IOC list.

Dependency Matrix

Required Modules

None required

Components

Standard package

šŸ’» Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: re-ioc-extraction
Download link: https://github.com/hackersifu/reverse-engineering-skills/archive/main.zip#re-ioc-extraction

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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