oss-forensics

To investigate a GitHub repository for a supply chain attack, you can use a seven-phase forensic workflow that aggregates local git data, GitHub API, and Wayback Machine snapshots to validate evidence and detect compromises. The process enforces guardrails to prevent hallucinations and maintains a formal evidence registry for traceability.

OSS supply chain forensics is the structured process of uncovering, collecting, and validating evidence across multiple data sources to determine if a repository has been compromised. You need it when you suspect a supply chain attack or require formal evidence recovery for a GitHub repository.

Yes, you can collect forensic evidence from the Wayback Machine and GitHub Archive. The investigation aggregates data from these external sources alongside local git data and the GitHub REST API to cross-correlate supply chain indicators and surface credible conclusions.

The best way to generate a forensic report for a compromised repo is using an automated workflow that synthesizes multi-source evidence into a structured narrative. The final report includes cross-source citations, redacted secrets, and validated hypotheses consolidated by specialized sub-agents.

To prevent hallucinations during an open source security investigation, the forensic workflow enforces strict guardrails and spawns specialized sub-agents to validate hypotheses. It maintains a verifiable evidence registry that ensures all findings are traceable across local git, API, and archived data sources.

An OSS forensic investigation uses external IOC sources to enrich and validate findings. It correlates these indicators of compromise with data gathered from local git, the GitHub REST API, GitHub Archive, and the Wayback Machine to ensure cross-source validation before consolidating the final report.