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Snyk Code Integration

Pixee integrates with Snyk Code to triage SAST findings and deliver remediation as pull requests. Snyk Code continues scanning as it does today -- Pixee sits downstream, providing independent triage verification and automated fixes. More importantly, Pixee triages Snyk Code findings alongside findings from every other scanner in your portfolio through one pipeline, eliminating per-tool review silos.

What Snyk Code Detects​

Snyk Code is the SAST component of the Snyk platform, built on the DeepCode acquisition. It provides real-time static analysis designed for developer workflows, with IDE integrations, CLI scanning, and CI/CD pipeline support. Snyk Code is known for speed and lower false positive rates compared to traditional SAST tools, with strong adoption among cloud-native engineering teams.

Snyk Code detects:

  • Injection flaws -- SQL injection, cross-site scripting, command injection, and other injection-class vulnerabilities
  • Authentication and cryptographic weaknesses -- broken authentication, insecure cryptographic usage
  • Code quality issues with security implications -- patterns that could lead to security vulnerabilities
  • Hardcoded secrets and credentials
  • Data flow taint tracking -- tracing untrusted data from sources to sinks

Language coverage includes JavaScript/TypeScript, Python, Java, Go, Ruby, C#, PHP, Swift, and Kotlin.

How Pixee Enhances Snyk Code​

Triage​

Snyk Code already produces lower false positive rates than traditional SAST tools. Pixee's value for Snyk Code users centers on two areas:

Independent verification. Each Snyk Code finding is processed through Pixee's triage pipeline, which classifies it as TRUE_POSITIVE, FALSE_POSITIVE, or WONT_FIX with a detailed justification and confidence score. The classification provides audit-ready evidence for compliance workflows.

Cross-scanner unification. Most teams run Snyk Code alongside other scanners -- SCA tools, container scanners, infrastructure-as-code analyzers. Pixee triages findings from all of them through one pipeline with consistent classification logic. No more switching between the Snyk dashboard, the GHAS dashboard, and the SonarQube portal to review findings from each tool in isolation.

Remediation​

Snyk's "DeepCode AI Fix" provides remediation suggestions within the Snyk UI. Pixee delivers a different outcome: complete, context-aware fixes as pull requests that developers review and merge through their standard code review workflow.

Fixes are generated using deterministic codemods and AI-powered fixes for complex scenarios. Every fix matches the team's code conventions -- naming patterns, preferred libraries, and existing security utilities.

For the full list of vulnerability types Pixee triages and fixes, see What Pixee Fixes.

Setup​

  1. Run Snyk Code scan on your repository (via Snyk CLI, CI/CD integration, or Snyk UI).
  2. Export results in SARIF format from Snyk Code.
  3. Upload SARIF to Pixee via API, UI, or CI integration.
  4. Pixee processes findings through the triage and remediation pipeline.
  5. Review and merge Pixee-generated PRs in your normal development workflow.

Prerequisites: Snyk account with Snyk Code enabled, Pixee account with connected repository.

Common False Positive Patterns Pixee Eliminates​

  • Framework-protected endpoints: Snyk Code flags injection risks in code protected by middleware-level input validation or framework security features
  • Sanitized data in multi-file flows: Data flows where sanitization occurs upstream in a different file, beyond Snyk Code's analysis scope
  • Test code at production severity: Intentionally vulnerable test fixtures, mock data, or example code flagged as production security issues
  • Context-dependent findings: Findings that depend on runtime configuration or deployment context that static analysis cannot determine

See Integrations Overview for the full scanner coverage matrix.