CVE-2025-10950
📋 TL;DR
A remote code execution vulnerability exists in geyang ml-logger's ping handler due to unsafe deserialization of user-controlled data. Attackers can exploit this to execute arbitrary code on affected systems. Users of ml-logger with the vulnerable component exposed are at risk.
💻 Affected Systems
- geyang ml-logger
⚠️ Manual Verification Required
This CVE does not have specific version information in our database, so automatic vulnerability detection cannot determine if your system is affected.
Why? The CVE database entry doesn't specify which versions are vulnerable (no version ranges provided by the vendor/NVD).
🔒 Custom verification scripts are available for registered users. Sign up free to download automated test scripts.
- Review the CVE details at NVD
- Check vendor security advisories for your specific version
- Test if the vulnerability is exploitable in your environment
- Consider updating to the latest version as a precaution
⚠️ Risk & Real-World Impact
Worst Case
Full system compromise allowing attacker to execute arbitrary commands, steal data, or pivot to other systems.
Likely Case
Remote code execution leading to data exfiltration, service disruption, or installation of malware.
If Mitigated
Limited impact if proper network segmentation and input validation are in place.
🎯 Exploit Status
Exploit has been publicly disclosed and may be utilized. Deserialization vulnerabilities are often easily weaponized.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Commit after acf255bade5be6ad88d90735c8367b28cbe3a743
Vendor Advisory: https://github.com/geyang/ml-logger/issues/72
Restart Required: No
Instructions:
1. Update to latest ml-logger version from GitHub repository. 2. Verify the fix is applied by checking the server.py file. 3. No restart required for Python applications.
🔧 Temporary Workarounds
Disable Ping Handler
allRemove or disable the vulnerable ping handler component
Modify ml_logger/server.py to remove or comment out ping handler functionality
Network Restriction
allRestrict access to ml-logger service to trusted networks only
Use firewall rules to limit access to ml-logger port
🧯 If You Can't Patch
- Implement strict network segmentation to isolate ml-logger instances
- Deploy web application firewall with deserialization attack detection
🔍 How to Verify
Check if Vulnerable:
Check if ml-logger version is at or before commit acf255bade5be6ad88d90735c8367b28cbe3a743Check Version:
git log --oneline | head -1Verify Fix Applied:
Verify the server.py file no longer contains unsafe deserialization in the ping handler📡 Detection & Monitoring
Log Indicators:
- Unusual deserialization errors
- Suspicious ping handler activity
- Unexpected process execution
Network Indicators:
- Unusual traffic to ml-logger ping endpoint
- Suspicious payloads in HTTP requests
SIEM Query:
source="ml-logger" AND (event="deserialization" OR event="ping_handler")