CVE-2024-10131
📋 TL;DR
This CVE describes a remote code execution vulnerability in the add_llm function of infiniflow/ragflow version 0.11.0. Attackers can exploit user-controlled input parameters to execute arbitrary code on affected systems. Organizations using ragflow version 0.11.0 for AI/ML workflows are at risk.
💻 Affected Systems
- infiniflow/ragflow
📦 What is this software?
Ragflow by Infiniflow
⚠️ Risk & Real-World Impact
Worst Case
Full system compromise allowing attackers to execute arbitrary commands, steal data, install malware, or pivot to other systems.
Likely Case
Unauthorized code execution leading to data exfiltration, system manipulation, or service disruption.
If Mitigated
Limited impact with proper input validation and restricted execution environments.
🎯 Exploit Status
The vulnerability is publicly documented with proof-of-concept details available.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Check latest version > 0.11.0
Vendor Advisory: https://huntr.com/bounties/42ae0b27-e851-4b58-a991-f691a437fbaa
Restart Required: Yes
Instructions:
1. Update ragflow to the latest patched version. 2. Restart the ragflow service. 3. Verify the fix is applied.
🔧 Temporary Workarounds
Input Validation Filter
allImplement strict input validation for llm_factory and llm_name parameters
# Add validation in llm_app.py to restrict allowed values
Network Restriction
allRestrict network access to ragflow service
# Use firewall rules to limit access to trusted IPs only
🧯 If You Can't Patch
- Implement strict input validation and sanitization for all user-supplied parameters
- Run ragflow in a sandboxed/containerized environment with minimal privileges
🔍 How to Verify
Check if Vulnerable:
Check if running ragflow version 0.11.0 and review code for vulnerable add_llm function implementationCheck Version:
Check ragflow version in configuration or via package managerVerify Fix Applied:
Verify ragflow version is updated beyond 0.11.0 and test with safe input values📡 Detection & Monitoring
Log Indicators:
- Unusual llm_factory or llm_name parameter values
- Unexpected process execution from ragflow
Network Indicators:
- Suspicious requests to ragflow API endpoints with unusual parameters
SIEM Query:
source="ragflow" AND (llm_factory="*" OR llm_name="*")