oss-forensics

OSS forensics uses non-destructive analysis to detect force-pushes, recover deleted content, and extract IOCs from local git history and GitHub API data. It correlates evidence across sources while applying strict anti-hallucination guardrails and redacting secrets.

Forensic evidence collection recovers deleted content and detects force-pushes by analyzing local git history and GitHub API data. The process applies non-destructive analysis with strict anti-hallucination guardrails to ensure evidence integrity.

Yes, you can extract IOCs and correlate evidence across Wayback Machine and BigQuery GH Archive. The investigation framework consolidates cross-source evidence to validate hypotheses and produce an evidence-backed final report for responsible disclosure.

Supply chain forensics implements non-destructive analysis to ensure the original repository remains unaltered. It strictly redacts secrets and applies evidence verification guardrails throughout the cross-source data collection and reporting workflow.

The best way to report supply-chain vulnerability findings is using hypothesis formation, validation, and evidence-backed reporting. This framework generates a structured final forensic report that enables responsible disclosure and remediation across open-source organizations.