Data Points

🐙 Code Repository

A source-code repository — leaks secrets, reveals developers, and anchors supply-chain risk.
Code & Supply

Sources

2
2 no-auth

Disciplines

3
that use it

Mission domains

2
reach

Workbench

native tool

🔌 Sources that yield Code Repository (2)

SourceCategoryAuthFormat
Gitleaks Rules (secret exposure)
Detect exposed secrets/keys patterns.
Operational SecurityNONEtexthome↗ api↗
OWASP Top 10 for LLM Apps
LLM application risk taxonomy.
Emerging TechNONEhtmlhome↗

🔍 Lookup

📜 Playbook — Code Repository exploitation

  1. Direction — frame the requirement for Code Repository: what decision does this support, by when?
  2. Collection — pull the 2 mapped sources (2 free) and the native workbench; capture provenance and observe OPSEC.
  3. Processing — normalize, de-duplicate and enrich the collected data.
  4. Analysis — correlate against local holdings; apply ACH; assign confidence.
  5. Dissemination — open a case, draft a report, share via STIX/MISP.
  6. Feedback — set an alert rule / watchlist to monitor for change.

⚡ AI Skills & Automation

🤖 Copilot brief⚡ AI SkillsResolveEnrichAuto-CollectHuntReportExport

Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).

🎫 Code Repository

A source-code repository (GitHub/GitLab/Bitbucket URL or clone) analyzed as a supply-chain and attribution artifact, including commits, authors, dependencies and CI config. It matters for detecting malicious packages, typosquats, leaked secrets, contributor attribution, and mapping developer/threat-actor infrastructure.

Format: HTTPS/SSH repo URL 'https://github.com/<owner>/<repo>' or 'git@host:owner/repo.git'; commit SHA1 (40 hex) or SHA256; validate host, owner/repo path, and clonability; package coordinates (npm/pypi) for supply-chain context.

📡 How it is collected

  • Repo URL from IOC or advisory
  • Code-search and dork discovery
  • Dependency manifest references
  • Package registry linkage (npm/PyPI to source)
  • Fork/network enumeration
  • Cloned mirrors and archive snapshots

🧩 Analysis &amp; hunting techniques

  • Commit-author and email attribution mapping
  • Secret and credential scanning of history
  • Dependency and transitive-vuln analysis (SCA)
  • Typosquat and dependency-confusion detection
  • Malicious install-script / obfuscation review
  • Contributor social-graph and timezone profiling
  • Fork-network and provenance analysis

🔧 Tools

  • gitleaks/TruffleHog
  • OSV-Scanner
  • Socket CLI
  • OpenSSF Scorecard
  • Semgrep
  • git log/blame
  • Syft (SBOM)

⚡ Workbench actions

  • Clone and scan for secrets
  • Run dependency/SCA vuln scan
  • Map commit authors to identities
  • Detect typosquat / confusion risk
  • Generate SBOM
  • Review install/build scripts
  • Correlate contributors across repos

📊 Dashboard KPIs

Known-vuln dependency countSecrets found in historyContributor count / identity matchesOpenSSF Scorecard scoreSuspicious-script flags
Workstation · Copilot · AI Skills · Automation · Playbooks · Lookups · Docs · Reports

🤖 AI Copilot

🔍 Lookup & Enrich

💡 Recommendations

⚙ Automation

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