CVE-2025-0185
📋 TL;DR
This vulnerability in Dify Tools' Vanna module allows attackers to inject malicious queries through unsanitized user inputs, potentially leading to remote code execution. It affects systems using the langgenius/dify repository with the vulnerable Vanna module. Organizations using Dify for AI/ML workflows are at risk.
💻 Affected Systems
- langgenius/dify repository with Vanna module
📦 What is this software?
Dify by Dify
⚠️ Risk & Real-World Impact
Worst Case
Remote Code Execution (RCE) allowing full system compromise, data exfiltration, and lateral movement within the environment.
Likely Case
Data manipulation or extraction through Pandas query injection, potentially leading to information disclosure or data corruption.
If Mitigated
Limited impact with proper input validation and query sanitization in place.
🎯 Exploit Status
Exploitation requires understanding of Pandas query injection techniques and access to the vulnerable function.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Check latest Dify repository updates
Vendor Advisory: https://huntr.com/bounties/7d9eb9b2-7b86-45ed-89bd-276c1350db7e
Restart Required: No
Instructions:
1. Update to latest Dify repository version 2. Ensure vn.get_training_plan_generic() function properly sanitizes inputs 3. Validate all user inputs before passing to Pandas queries
🔧 Temporary Workarounds
Input Validation Workaround
allImplement strict input validation for df_information_schema parameter
# Add input validation before calling vn.get_training_plan_generic()
# Validate df_information_schema contains only allowed characters/patterns
🧯 If You Can't Patch
- Implement network segmentation to isolate Dify systems
- Add WAF rules to detect and block suspicious query patterns
🔍 How to Verify
Check if Vulnerable:
Review code for unsanitized user inputs passed to vn.get_training_plan_generic() functionCheck Version:
Check Dify repository version and commit history for security fixesVerify Fix Applied:
Test that user inputs are properly validated and sanitized before Pandas query execution📡 Detection & Monitoring
Log Indicators:
- Unusual query patterns in Dify logs
- Multiple failed query attempts
- Suspicious characters in query parameters
Network Indicators:
- Unusual outbound connections from Dify systems
- Large data transfers following query execution
SIEM Query:
source="dify" AND (query="*;*" OR query="*|*" OR query="*&*" OR query="*$*" OR query="*`*")