# IOC Extraction Engine — Offline Malware Analysis (Static) Tool

[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)
[![Python 3.12+](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/downloads/)
[![Offline](https://img.shields.io/badge/mode-offline%20first-important.svg)](#)
[![secintel](https://img.shields.io/badge/schema-secintel%20v1-purple.svg)](https://github.com/reshot2005/secintel-core)
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> **Extract IOCs from binaries/reports and export STIX/CSV — threat intelligence IOC extraction engine for malware analysts.**

**Category:** Malware Analysis (Static)  
**Collection phase tool:** 8/8  
**Schema:** [secintel-core](https://github.com/reshot2005/secintel-core) v1  
**Repository:** https://github.com/reshot2005/ioc-extraction-engine  
**Author account:** [reshot2005](https://github.com/reshot2005)

## Why IOC Extraction Engine ranks for security search

IOC Extraction Engine is an **offline-first**, research-grade **malware analysis (static)** utility designed for practitioners who need reproducible analysis without uploading sensitive artifacts to SaaS scanners. It emits structured findings through the shared **secintel** evidence taxonomy (OBSERVED / DERIVED / INFERRED / CORRELATED / VERIFIED) so results are auditable, exportable, and CI-friendly.

### Primary SEO keywords
`IOC extraction, STIX export, threat intelligence IOCs, malware indicators, CSV IOC export`

### Topics
`malware-analysis` `reverse-engineering` `static-analysis` `cybersecurity` `threat-intelligence` `ioc` `security-tools` `python` `offline-security` `yara` `stix` `threat-intel`

## What problem does this solve?

Extract indicators of compromise from binaries and reports, then export STIX/CSV for threat intel workflows.

Export-ready IOC engine for offline malware labs.

## Key features

- IOC extraction

• STIX/CSV export paths

• Binary/report inputs

• TI-friendly outputs

• Offline extraction

  Ideal use cases

  • Feed TIP/SIEM IOCs

• Share partner indicators

• Build detection lists

  Who should use this

  • Security engineers & AppSec / NetSec specialists
  • SOC / DFIR / malware analysts (as applicable)
  • Bug bounty hunters and penetration testers
  • DevSecOps teams needing offline/air-gapped tooling
  • Students and researchers learning malware analysis (static)

  Quick start

  git clone https://github.com/reshot2005/ioc-extraction-engine.git
  cd ioc-extraction-engine
  python3.12 -m venv .venv
  source .venv/bin/activate  # Windows: .venv\Scripts\Activate.ps1
  pip install -e ../secintel-core  # or: pip install -e git+https://github.com/reshot2005/secintel-core.git#egg=secintel-core
  pip install -e ".[dev]"
  
  ioc-extraction-engine analyze sample_data --json
  ioc-extraction-engine analyze sample_data --html report.html
  ioc-extraction-engine version

  Exports for interoperability

  ioc-extraction-engine analyze sample_data \
    --json --html report.html --csv findings.csv --sarif results.sarif

  Evidence quality & reproducibility

  • Findings follow secintel classification rules (confidence only where schema allows).
  • Provenance includes tool version, config hash, and input integrity metadata.
  • Set SECINTEL_SOURCE_DATE_EPOCH for deterministic timestamps in CI.

  export SECINTEL_SOURCE_DATE_EPOCH=1704067200
  ioc-extraction-engine analyze sample_data --json

  Development

  ruff check src tests
  mypy src
  pytest

  Related tools in this collection

  Browse more offline security research tools by reshot2005: network security, web AppSec, DevSecOps, digital forensics, and static malware analysis — each in its own public repository with the same secintel reporting contract.

  License

  MIT — free for research, education, and commercial use with attribution preserved.

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  Discoverability blurb (search engines & GitHub)

  IOC Extraction Engine (ioc-extraction-engine) — Extract IOCs from binaries/reports and export STIX/CSV — threat intelligence IOC extraction engine for malware analysts. Search terms: IOC extraction, STIX export, threat intelligence IOCs, malware indicators, CSV IOC export. Open-source, MIT-licensed, Python 3.12, offline cybersecurity tool by reshot2005.