Vulnerability Description
Langroid is a framework for building large-language-model-powered applications. Versions prior to 0.65.2 are vulnerable to a critical Sandbox Escape leading to Remote Code Execution (RCE) in its `TableChatAgent` and `VectorStore` capabilities. When these agents evaluate LLM-generated tool messages with `full_eval=True`, they attempt to sandbox the execution by explicitly setting `locals` to an empty dictionary `{}` inside Python's `eval()` function. However, this relies on an incomplete understanding of Python's execution model. Because `__builtins__` is not explicitly scrubbed from the `globals` dictionary mapping, Python implicitly injects all built-ins during execution, granting full access to functions like `__import__('os').system()`. Since `TableChatAgent.pandas_eval()` executes external LLM outputs natively, this bypass permits any attacker providing prompt payload to achieve unauthenticated RCE on the host system. Version 0.65.2 patches the issue.
CVSS Score
CRITICAL
Related Weaknesses (CWE)
References
- https://github.com/langroid/langroid/security/advisories/GHSA-q9p7-wqxg-mrhc
- https://github.com/langroid/langroid/security/advisories/GHSA-q9p7-wqxg-mrhc
FAQ
What is CVE-2026-54769?
CVE-2026-54769 is a vulnerability with a CVSS score of 10.0 (CRITICAL). Langroid is a framework for building large-language-model-powered applications. Versions prior to 0.65.2 are vulnerable to a critical Sandbox Escape leading to Remote Code Execution (RCE) in its `Tabl...
How severe is CVE-2026-54769?
CVE-2026-54769 has been rated CRITICAL with a CVSS base score of 10.0/10. This is considered a critical vulnerability requiring immediate attention.
Is there a patch for CVE-2026-54769?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.