CVE-2025-68700

critical

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.

References

https://github.com/infiniflow/ragflow/security/advisories/GHSA-8xw3-v6c2-j84j

https://github.com/infiniflow/ragflow/commit/7a344a32f9f83529e12ca12f40f2657eb79fe811

Details

Source: Mitre, NVD

Published: 2025-12-31

Updated: 2025-12-31

Risk Information

CVSS v2

Base Score: 6.5

Vector: CVSS2#AV:N/AC:L/Au:S/C:P/I:P/A:P

Severity: Medium

CVSS v3

Base Score: 8.8

Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Severity: High

CVSS v4

Base Score: 9.4

Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

Severity: Critical

EPSS

EPSS: 0.00047