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Supply Chain Security Agent

Analyzes open source dependencies, software bills of materials (SBOM), license compliance, and vulnerability data to block risky packages from production.

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Created By
HHunto AI
Last UpdateLast update 2 days ago
CategorySecOps
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GitHub
GitLab
Jenkins

Repository Scanning

Integrating directly into GitHub, GitLab, and CI/CD pipelines.

react
v18.2.0
lodash
v4.17.21
axios
v1.6.0
express
v4.18.2
Generating Dependency Graph...

Deep SBOM Analysis

Parsing manifests to understand every direct and transitive dependency.

"dependencies": {
"react": "^18.2.0",
"redux": "^4.2.1",
"reqests": "^2.31.0",
Typosquatting Detected!
}
Malicious Package
Contains crypto-miner logic

Threat Finding

Identifying typosquatting, malware injections, and vulnerable libraries.

GitHubPR #104: specific-feature
Unit Tests Passed
Linting Passed
Security Check Failed
Critical vulnerability found in 'axios'

Build Blocking

Stopping bad code at the door by failing Pull Request checks automatically.

Auto-Fix PR Created

Upgrade axios to v1.6.0

Patches CVE-2023-45893

- "axios": "1.5.0"
+ "axios": "1.6.0"

Automated Patching

Instant remediation by generating Pull Requests to upgrade vulnerable packages.

Live Workflow

Description

The Supply Chain Security Agent is the modernized defense against attacks like SolarWinds or Log4j. Modern software is 80% open source. This agent lives in your code repositories and CI/CD pipelines. It scans your Software Bill of Materials (SBOM) not just for "Known Vulnerabilities" (CVEs), but for "Malicious Behavior" in packages—such as a popular library that was hijacked by a new maintainer and now contains a crypto-miner or backdoor.

How it works?

The agent parses `package.json`, `go.mod`, etc., to build a dependency graph. It checks the reputation of every package author and the "health" of the open source project (e.g., "Is this maintained?"). If a developer tries to import a "typosquatted" package (e.g., `reqests` instead of `requests`), the agent blocks the pull request immediately. It also monitors for "Vulnerable functions"—determining if your code *actually calls* the buggy part of a library, reducing false positive alerts by 90%.

Key Features

  • Malware Detection: Catching malicious packages (zero-day, no CVE yet) based on code forensics.
  • Typosquatting Defense: Blocking packages that mimic popular libraries.
  • Reachability Analysis: Telling you "Yes, you use Log4j, but only the safe API, so you are not exploitable."
  • License Compliance: Blocking libraries with viral licenses (GPL) from entering proprietary codebases.
  • SBOM Generation: Auto-generating compliance artifacts for every build.

    • Step by Step

    1
    Hook Agent integrates into GitHub PR checks and CI build steps.
    2
    Scan Analyzes the manifest files and the transitive dependencies (dependencies of dependencies).
    3
    Score Assigns a risk score based on vulnerability, popularity, and maintainer reputation.
    4
    Block Fails the build if a 'Critical' or 'Malicious' package is introduced.
    5
    Fix Auto-generates a Pull Request to upgrade to the patched version.

    Available Integrations

  • SCM: GitHub, GitLab, Bitbucket.
  • Registries: npm, PyPI, Maven, Docker Hub.
  • CI/CD: Jenkins, CircleCI, GitHub Actions.

    • *Note: Hunto AI also customizes each agent, integrations, activity, and output as required by the security teams in different industries.*

    Expected Output

  • Clean Codebase: Assurance that no known malware exists in dependencies.
  • Audit Compliance: SBOMs ready for every release (required by US Executive Order).
  • Developer Speed: Less time investigating false positives thanks to reachability analysis.
  • Incident Response: Instant query ("Where are we using lib-x?") across 1000s of repos.