CVE-2024-38459
📋 TL;DR
This vulnerability in langchain_experimental (LangChain Experimental) allows arbitrary Python code execution via REPL access without requiring explicit user opt-in. It affects users of LangChain Experimental versions before 0.0.61 who use the experimental features. This is a follow-up to an incomplete fix for CVE-2024-27444.
💻 Affected Systems
- langchain_experimental (LangChain Experimental)
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Full remote code execution leading to complete system compromise, data exfiltration, or lateral movement within the environment.
Likely Case
Arbitrary code execution within the application context, potentially allowing access to sensitive data or system resources.
If Mitigated
Limited impact if proper input validation and sandboxing are implemented, though the vulnerability bypasses intended security controls.
🎯 Exploit Status
Exploitation requires the attacker to have access to trigger the vulnerable experimental features.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 0.0.61
Vendor Advisory: https://github.com/langchain-ai/langchain/commit/ce0b0f22a175139df8f41cdcfb4d2af411112009
Restart Required: No
Instructions:
1. Update langchain_experimental to version 0.0.61 or later using pip: pip install --upgrade langchain_experimental>=0.0.61
2. Verify the update completed successfully
3. No application restart required for Python package updates
🔧 Temporary Workarounds
Disable experimental features
allAvoid importing or using langchain_experimental modules until patched
Remove 'from langchain_experimental import' statements from your code
Implement input validation
allAdd strict input validation and sanitization for any user inputs that might reach the experimental features
🧯 If You Can't Patch
- Implement network segmentation to isolate systems using vulnerable versions
- Deploy application-level firewalls to monitor and block suspicious REPL-related activities
🔍 How to Verify
Check if Vulnerable:
Check if langchain_experimental version is below 0.0.61: python -c "import langchain_experimental; print(langchain_experimental.__version__)"Check Version:
python -c "import langchain_experimental; print('langchain_experimental version:', langchain_experimental.__version__)"Verify Fix Applied:
Verify version is 0.0.61 or higher: python -c "import langchain_experimental; print(langchain_experimental.__version__ >= '0.0.61')"📡 Detection & Monitoring
Log Indicators:
- Unexpected Python REPL execution attempts
- Import errors or warnings related to langchain_experimental
- Unusual process execution from Python applications
Network Indicators:
- Outbound connections from Python processes to unexpected destinations
- Data exfiltration patterns from application servers
SIEM Query:
process.name:python AND (process.args:*langchain_experimental* OR process.args:*REPL*)🔗 References
- https://github.com/langchain-ai/langchain/commit/ce0b0f22a175139df8f41cdcfb4d2af411112009
- https://github.com/langchain-ai/langchain/compare/langchain-experimental==0.0.60...langchain-experimental==0.0.61
- https://github.com/langchain-ai/langchain/pull/22860
- https://github.com/langchain-ai/langchain/commit/ce0b0f22a175139df8f41cdcfb4d2af411112009
- https://github.com/langchain-ai/langchain/compare/langchain-experimental==0.0.60...langchain-experimental==0.0.61
- https://github.com/langchain-ai/langchain/pull/22860
