LangChain Exposes Sensitive System Data Via Deserialization
Security researchers have identified a critical vulnerability in LangChain's core library, tracked as CVE-2025-68664, that can expose sensitive system data. The flaw arises from unsafe serialization/deserialization where untrusted input can include a reserved internal marker and be reconstructed as trusted objects, risking data leakage in logging, caching, or event streaming. Organizations using LangChain-based LLM applications should prioritize patches and sanitize serialized metadata.
Key Points
- 1Identifies CVE-2025-68664: unsafe deserialization in LangChain's core allowing reconstruction of internal objects.
- 2Creates critical risk because untrusted input can contain reserved markers and bypass trust checks.
- 3Impacts apps using logging, caching, event streams — practitioners must patch and sanitize serialized metadata.
Scoring Rationale
High severity and broad ecosystem impact justify a top score, tempered by limited technical detail and non–top-tier sourcing.
Sources
Public references used for this report.
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