CVE-2024-8764
📋 TL;DR
This vulnerability in lunary-ai/lunary allows authenticated users to upload and execute arbitrary regular expressions on the server, potentially causing excessive resource consumption and Denial of Service. The vulnerability affects all deployments running vulnerable versions of the lunary-ai/lunary software.
💻 Affected Systems
- lunary-ai/lunary
📦 What is this software?
Lunary by Lunary
⚠️ Risk & Real-World Impact
Worst Case
Complete server unavailability due to resource exhaustion from malicious regex patterns, preventing legitimate users from accessing the service.
Likely Case
Degraded performance and intermittent service disruptions as attackers test regex patterns that consume CPU/memory resources.
If Mitigated
Minimal impact with proper input validation and resource limits in place.
🎯 Exploit Status
Exploitation requires knowledge of regex patterns that cause excessive backtracking or resource consumption.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Commit 7ff89b0304d191534b924cf063f3648206d497fa and later
Vendor Advisory: https://github.com/lunary-ai/lunary/commit/7ff89b0304d191534b924cf063f3648206d497fa
Restart Required: No
Instructions:
1. Update to latest lunary-ai/lunary version
2. Apply commit 7ff89b0304d191534b924cf063f3648206d497fa
3. Verify regex input validation is properly implemented
🔧 Temporary Workarounds
Regex Input Validation
allImplement server-side validation to restrict regex patterns and limit complexity
Resource Limiting
allConfigure timeouts and resource limits for regex processing operations
🧯 If You Can't Patch
- Disable regex upload functionality entirely
- Implement strict authentication and rate limiting on regex endpoints
🔍 How to Verify
Check if Vulnerable:
Check if running version includes commit be54057 or earlier
Check Version:
git log --oneline | head -20
Verify Fix Applied:
Verify installation includes commit 7ff89b0304d191534b924cf063f3648206d497fa
📡 Detection & Monitoring
Log Indicators:
- Unusually long regex patterns in upload logs
- High CPU/memory usage spikes from regex processing
Network Indicators:
- Multiple regex upload requests from single user
- Large regex payloads in POST requests
SIEM Query:
source="lunary" AND (regex_upload OR pattern_upload) AND size>1000