Vulnerability Description
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. In versions prior to 0.23.0, a low-privileged authenticated user (normal login account) can execute arbitrary system commands on the server host process via the frontend Canvas CodeExec component, completely bypassing sandbox isolation. This occurs because untrusted data (stdout) is parsed using eval() with no filtering or sandboxing. The intended design was to "automatically convert string results into Python objects," but this effectively executes attacker-controlled code. Additional endpoints lack access control or contain inverted permission logic, significantly expanding the attack surface and enabling chained exploitation. Version 0.23.0 contains a patch for the issue.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Infiniflow | Ragflow | < 0.23.0 |
Related Weaknesses (CWE)
References
- https://github.com/infiniflow/ragflow/commit/7a344a32f9f83529e12ca12f40f2657eb79Patch
- https://github.com/infiniflow/ragflow/security/advisories/GHSA-8xw3-v6c2-j84jExploitVendor Advisory
- https://github.com/infiniflow/ragflow/security/advisories/GHSA-8xw3-v6c2-j84jExploitVendor Advisory
FAQ
What is CVE-2025-68700?
CVE-2025-68700 is a vulnerability with a CVSS score of 8.8 (HIGH). RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. In versions prior to 0.23.0, a low-privileged authenticated user (normal login account) can execute arbitrary system commands on ...
How severe is CVE-2025-68700?
CVE-2025-68700 has been rated HIGH with a CVSS base score of 8.8/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2025-68700?
Check the references section above for vendor advisories and patch information. Affected products include: Infiniflow Ragflow.