langfuse

Fail

Audited by Snyk on Aug 4, 2026

Risk Level: HIGH
Full Analysis

HIGH W007: Insecure credential handling detected in skill instructions.

  • Insecure credential handling detected (high risk: 0.85). The skill includes code examples that pass secret_key/public_key values directly as parameters (e.g., secret_key="sk-..."), which encourages embedding secrets verbatim in generated code or outputs and therefore creates an exfiltration risk.

MEDIUM W011: Third-party content exposure detected (indirect prompt injection risk).

  • Third-party content exposure detected (medium risk: 0.30). The Langfuse skill’s runtime workflow can ingest outsider-authored free text because it traces and logs LLM inputs/outputs (e.g., user chat messages) via Langfuse during application execution (e.g., generation(... input={"messages": ... "content": ...}) and evaluate_response(question, response)), so an external user can supply the monitored text.

MEDIUM W012: Unverifiable external dependency detected (runtime URL that controls agent).

  • Potentially malicious external URL detected (high risk: 0.90). The skill sets the Langfuse host to https://cloud.langfuse.com (used in client/callback initialization) and calls langfuse.get_prompt at runtime to fetch prompts that directly control model inputs, so the external URL is used to supply runtime prompt content.

Issues (3)

W007
HIGH

Insecure credential handling detected in skill instructions.

W011
MEDIUM

Third-party content exposure detected (indirect prompt injection risk).

W012
MEDIUM

Unverifiable external dependency detected (runtime URL that controls agent).

Audit Metadata
Risk Level
HIGH
Analyzed
Aug 4, 2026, 05:14 AM
Issues
3
Security Audit — snyk — langfuse