CVE-2025-68700HIGH 8.8EPSS p37.1%

CVE-2025-68700CVE-2025-68700

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.

Scoring

CVSS 3.18.8 (HIGH)
VectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS0.47% probability of exploitation · percentile 37.1% · 2026-06-19T12:03:05Z
Published2025-12-31
Last modified2026-01-06

Underlying weaknesses· 1

CWE-78

References

  1. https://github.com/infiniflow/ragflow/commit/7a344a32f9f83529e12ca12f40f2657eb79fe811
  2. https://github.com/infiniflow/ragflow/security/advisories/GHSA-8xw3-v6c2-j84j
  3. https://github.com/infiniflow/ragflow/security/advisories/GHSA-8xw3-v6c2-j84j

1

TypeTargetConfidenceTier
WeaknessImproper Neutralization of Special Elements used in an OS Command ('OS Command Injection')cwe-780%live

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Sourced from NVD + FIRST.org EPSS. Curated for EU compliance use cases by Adam Lundqvist, Founder at SQUR.