CVE-2025-68700Infiniflow · Ragflow
Vulnerability data via NVD (ingested)
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.
External references
Search for exposed instances
Shodan + Censys queries derived from NVD's CPE data. The vuln tag catches assets Shodan has explicitly linked to this CVE; the product / banner fingerprints find exposed instances even when the vuln tag was never applied (which is common).
vuln:CVE-2025-68700product:"Infiniflow Ragflow"http.html:"Ragflow"More intel sources (5)
vuln:CVE-2025-68700vulnerabilities.cve_id: CVE-2025-68700CVE-2025-68700CVE-2025-68700"CVE-2025-68700" exploit -site:nvd.nist.gov