- CVSS
- HIGH · 7.5 v3.1 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
- Published
- 2026-03-31
- Weakness
- CWE-22
- Source
- nvd.nist.gov/vuln/detail/CVE-2026-34070
Description
LangChain is a framework for building agents and LLM-powered applications. Prior to version 1.2.22, multiple functions in langchain_core.prompts.loading read files from paths embedded in deserialized config dicts without validating against directory traversal or absolute path injection. When an application passes user-influenced prompt configurations to load_prompt() or load_prompt_from_config(), an attacker can read arbitrary files on the host filesystem, constrained only by file-extension checks (.txt for templates, .json/.yaml for examples). This issue has been patched in version 1.2.22.
References
- https://github.com/langchain-ai/langchain/commit/27add913474e01e33bededf4096151130ba0d47c
- https://github.com/langchain-ai/langchain/releases/tag/langchain-core==1.2.22
- https://github.com/langchain-ai/langchain/security/advisories/GHSA-qh6h-p6c9-ff54
- https://github.com/langchain-ai/langchain/security/advisories/GHSA-qh6h-p6c9-ff54
How GTK Cyber trains on this
AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2026-34070 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.