oss-forensics

Investigating open-source supply-chain security incidents requires a structured forensic workflow that collects and correlates evidence from local git data, GitHub API, Wayback Machine, and GH Archive. This approach ensures repeatable, auditable forensic reporting for incident response and disclosure planning.

The best way to collect forensic evidence from GitHub repositories is using a multi-source approach that gathers data from local Git, GitHub API, GH Archive, and Wayback Machine. Cross-source corroboration validates hypotheses and stores evidence tamper-evidently in a central registry.

Cross-source corroboration for open-source incident response works by structuring hypotheses and validating them against multiple data sources like GitHub API, local git, and Wayback Machine. This multi-source validation ensures evidence integrity before generating standardized forensic reports.

Yes, you can use GitHub API and Wayback Machine data for security incident investigations by applying a multi-source evidence collection workflow. This process centralizes data from these sources into an evidence registry with tamper-evident storage for auditable reporting.

You create a tamper-evident evidence store by initializing an investigation directory and loading provided templates that standardize evidence collection. This process ensures all collected data from sources like GitHub API and local Git is securely registered for auditable forensic reporting.

Relying only on local git data for OSS forensics limits your investigation by missing external context from GitHub API, GH Archive, and Wayback Machine. A complete forensic workflow requires cross-source corroboration to validate hypotheses and produce auditable incident reports.