{"data":{"id":"51fb1fdb-be21-4f50-8ce9-9dcd9036cf68","title":"GHSA-3644-q5cj-c5c7: LangSmith SDK: Public prompt pull deserializes untrusted manifests without trust boundary warning","summary":"LangSmith SDK (a tool for managing prompts in LangChain applications) had a vulnerability where pulling public prompts by owner/name would deserialize (convert from stored format into executable code) untrusted manifest files without warning users about the trust risk. An attacker could publish a malicious prompt that, when pulled and deserialized, would execute with attacker-controlled settings, potentially redirecting API requests to steal secrets or injecting malicious instructions into the AI's behavior.","solution":"Upgrade to LangSmith SDK Python >= 0.8.0 or JS/TS >= 0.6.0. The updated SDK now blocks pulling public prompts by `owner/name` by default and requires callers to explicitly pass `dangerously_pull_public_prompt=True` (Python) or `dangerouslyPullPublicPrompt: true` (JavaScript/TypeScript) to acknowledge the trust boundary risk. This flag should only be set after reviewing and trusting the actual prompt contents, not just the publishing account.","labels":["security"],"sourceUrl":"https://github.com/advisories/GHSA-3644-q5cj-c5c7","publishedAt":"2026-05-13T15:29:30.000Z","cveId":"CVE-2026-45134","cweIds":null,"cvssScore":null,"cvssSeverity":"high","severity":"high","attackType":["prompt_injection","supply_chain"],"issueType":"vulnerability","affectedPackages":["langchain@< 0.3.30 (fixed: 0.3.30)","langchain-classic@< 1.0.7 (fixed: 1.0.7)","langsmith@< 0.6.0 (fixed: 0.6.0)","langsmith@< 0.8.0 (fixed: 0.8.0)"],"affectedVendors":["LangChain"],"affectedVendorsRaw":["LangSmith","LangChain"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0,"patchAvailable":true,"disclosureDate":"2026-05-13T15:29:30.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"api","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}