Vulnerability details
CVE-2025-68665
LangChain serialization injection vulnerability enables secret extraction
Official description
LangChain is a framework for building LLM-powered applications. Prior to @langchain/core versions 0.3.80 and 1.1.8, and prior to langchain versions 0.3.37 and 1.2.3, a serialization injection vulnerability exists in LangChain JS's toJSON() method (and subsequently when string-ifying objects using JSON.stringify(). The method did not escape objects with 'lc' keys when serializing free-form data in kwargs. The 'lc' key is used internally by LangChain to mark serialized objects. When user-controlled data contains this key structure, it is treated as a legitimate LangChain object during deserialization rather than plain user data. This issue has been patched in @langchain/core versions 0.3.80 and 1.1.8, and langchain versions 0.3.37 and 1.2.3
CVSS scores
| Score | Version | Source | Vector |
|---|---|---|---|
| 8.6High | 3.1 | CVEProject cvelistV5 (CNA) (GitHub_M) | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N |
Affected products
| Vendor | Product | Versions | Source |
|---|---|---|---|
| langchain-ai | langchainjs | @langchain/core < 0.3.80 | CVEProject cvelistV5 (CNA) |
| langchain-ai | langchainjs | @langchain/core >= 1.0.0, < 1.1.8 | CVEProject cvelistV5 (CNA) |
| langchain-ai | langchainjs | langchain < 0.3.37 | CVEProject cvelistV5 (CNA) |
| langchain-ai | langchainjs | langchain >= 1.0.0, < 1.2.3 | CVEProject cvelistV5 (CNA) |
References and advisories
4- https://github.com/langchain-ai/langchainjs/commit/e5063f9c6e9989ea067dfdff39262b9e7b6aba62 x_refsource_MISC
- https://github.com/langchain-ai/langchainjs/releases/tag/%40langchain%2Fcore%401.1.8 x_refsource_MISC
- https://github.com/langchain-ai/langchainjs/releases/tag/langchain%401.2.3 x_refsource_MISC
- https://github.com/langchain-ai/langchainjs/security/advisories/GHSA-r399-636x-v7f6 x_refsource_CONFIRM
Details
- Published
- 2025-12-24
- Last updated
- 2025-12-24
- State
- Published
- Assigner (CNA)
- GitHub_M
Exploit prediction (EPSS)
SSVC assessment (CISA)
- Automatable
- Yes
- Exploitation
- Proof of concept
- Technical impact
- Partial
Weaknesses (CWE)
- CWE-502Deserialization of Untrusted Data