CVE-2025-65896
📋 TL;DR
This SQL injection vulnerability in the asyncmy Python library allows attackers to execute arbitrary SQL commands by manipulating dictionary keys in queries. Any application using asyncmy versions up to 0.2.10 with user-controlled input in dictionary keys is affected. This can lead to complete database compromise.
💻 Affected Systems
- asyncmy
📦 What is this software?
Asyncmy by Long2ice
⚠️ Risk & Real-World Impact
Worst Case
Full database compromise including data theft, data destruction, and potential remote code execution via database functions.
Likely Case
Data exfiltration, privilege escalation, and unauthorized data modification.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
Exploitation requires user input to reach vulnerable dictionary key handling in SQL queries.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 0.2.11 or later
Vendor Advisory: https://github.com/long2ice/asyncmy/issues/134
Restart Required: Yes
Instructions:
1. Update asyncmy: pip install --upgrade asyncmy>=0.2.11
2. Restart all services using asyncmy
3. Verify the update with: pip show asyncmy
🔧 Temporary Workarounds
Input Validation
allImplement strict validation of dictionary keys before passing to asyncmy queries
Parameterized Queries
allUse parameterized queries instead of string concatenation with dictionary keys
🧯 If You Can't Patch
- Implement strict input validation for all dictionary keys used in SQL queries
- Use web application firewall (WAF) with SQL injection protection rules
🔍 How to Verify
Check if Vulnerable:
Check asyncmy version: pip show asyncmy | grep VersionCheck Version:
pip show asyncmy | grep VersionVerify Fix Applied:
Confirm version is 0.2.11 or higher: pip show asyncmy | grep Version📡 Detection & Monitoring
Log Indicators:
- Unusual SQL query patterns
- Multiple failed login attempts
- Unexpected database operations
Network Indicators:
- SQL syntax in HTTP parameters
- Unusual database connection patterns
SIEM Query:
source=application_logs AND ("SQL syntax" OR "asyncmy" OR "dictionary key")