IoC Extractor Python

The IoC Extractor Python tool scans Python source files, scripts, and log data to identify indicators of compromise. It outputs a structured list of IoCs that security teams can ingest into SIEMs, SOARs, or threat intel platforms for automated enrichment and response.

Conceptually, the tool tokenizes input text, applies regex pools for IPs, domains, URLs, and hashes, and then normalizes matches to canonical forms. It can also apply optional heuristics to surface embedded indicators within strings or literal values in code. The result is a flat collection of IoCs with type, value, confidence, and source context that supports deterministic ingestion by downstream systems.

Security teams benefit from faster triage, reproducible extraction across large codebases, and a consistent export format. Unique value lies in its Python-focused context handling and the ability to map detected IoCs to high-level techniques for threat modeling. Core features include multi-file processing, deduplication, and configurable extraction types. Typical use cases include malware analysis, code review for security concerns, and incident response workflows that require quick extraction of IoCs from developer environments and runtime logs.