Vulnerability Description
Langroid is a Python framework to build large language model (LLM)-powered applications. Prior to version 0.53.15, `LanceDocChatAgent` uses pandas eval() through `compute_from_docs()`. As a result, an attacker may be able to make the agent run malicious commands through `QueryPlan.dataframe_calc]`) compromising the host system. Langroid 0.53.15 sanitizes input to the affected function by default to tackle the most common attack vectors, and added several warnings about the risky behavior in the project documentation.
CVSS Score
CRITICAL
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Langroid | Langroid | < 0.53.15 |
Related Weaknesses (CWE)
References
- https://github.com/langroid/langroid/commit/0d9e4a7bb3ae2eef8d38f2e970ff916599a2Patch
- https://github.com/langroid/langroid/security/advisories/GHSA-22c2-9gwg-mj59Vendor Advisory
FAQ
What is CVE-2025-46725?
CVE-2025-46725 is a vulnerability with a CVSS score of 9.8 (CRITICAL). Langroid is a Python framework to build large language model (LLM)-powered applications. Prior to version 0.53.15, `LanceDocChatAgent` uses pandas eval() through `compute_from_docs()`. As a result, an...
How severe is CVE-2025-46725?
CVE-2025-46725 has been rated CRITICAL with a CVSS base score of 9.8/10. This is considered a critical vulnerability requiring immediate attention.
Is there a patch for CVE-2025-46725?
Check the references section above for vendor advisories and patch information. Affected products include: Langroid Langroid.