CVE-2023-6940

8.8 HIGH

📋 TL;DR

CVE-2023-6940 is a command injection vulnerability in MLflow that allows attackers to execute arbitrary commands on the victim system by tricking users into downloading a malicious configuration file. This affects MLflow users who download and process untrusted configuration files, potentially leading to complete system compromise.

💻 Affected Systems

Products:
  • MLflow
Versions: Versions before 2.10.0
Operating Systems: All platforms running MLflow
Default Config Vulnerable: ⚠️ Yes
Notes: Vulnerability exists in MLflow's configuration parsing functionality when processing untrusted files.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Full system compromise with attacker gaining complete control over the victim machine, allowing data theft, lateral movement, and persistent backdoor installation.

🟠

Likely Case

Local privilege escalation leading to unauthorized access to sensitive data, system configuration changes, and potential ransomware deployment.

🟢

If Mitigated

Limited impact with proper network segmentation and user privilege restrictions, potentially only affecting isolated environments.

🌐 Internet-Facing: MEDIUM
🏢 Internal Only: HIGH

🎯 Exploit Status

Public PoC: ⚠️ Yes
Weaponized: LIKELY
Unauthenticated Exploit: ✅ No
Complexity: LOW

Exploitation requires user interaction (downloading malicious config) but is straightforward once the malicious file is processed.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: MLflow 2.10.0 and later

Vendor Advisory: https://github.com/mlflow/mlflow/commit/5139b1087d686fa52e2b087e09da66aff86297b1

Restart Required: Yes

Instructions:

1. Update MLflow to version 2.10.0 or later using pip: pip install --upgrade mlflow>=2.10.0
2. Restart all MLflow services
3. Verify the update was successful

🔧 Temporary Workarounds

Restrict configuration file sources

all

Only allow configuration files from trusted sources and implement file validation

Implement user privilege restrictions

linux

Run MLflow with minimal necessary privileges to limit impact of successful exploitation

sudo -u mlflow_user mlflow server

🧯 If You Can't Patch

  • Implement strict network segmentation to isolate MLflow instances
  • Deploy application allowlisting to prevent execution of unauthorized commands

🔍 How to Verify

Check if Vulnerable:

Check MLflow version: mlflow --version. If version is below 2.10.0, the system is vulnerable.

Check Version:

mlflow --version

Verify Fix Applied:

After updating, run mlflow --version and confirm version is 2.10.0 or higher.

📡 Detection & Monitoring

Log Indicators:

  • Unusual command execution patterns in system logs
  • Suspicious configuration file downloads
  • MLflow process spawning unexpected child processes

Network Indicators:

  • Unexpected outbound connections from MLflow instances
  • Command and control traffic patterns

SIEM Query:

source="mlflow.logs" AND (process_execution="*sh*" OR process_execution="*cmd*" OR process_execution="*powershell*")

🔗 References

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