CVE-2023-39329
📋 TL;DR
This vulnerability in OpenJPEG allows an attacker to cause a denial of service through resource exhaustion by providing a specially crafted image file. The flaw occurs in the opj_t1_decode_cblks function during image processing, affecting any system or application that uses OpenJPEG to decode JPEG 2000 images.
💻 Affected Systems
- OpenJPEG
- Applications using OpenJPEG library
📦 What is this software?
Openjpeg by Uclouvain
Openjpeg by Uclouvain
Openjpeg by Uclouvain
⚠️ Risk & Real-World Impact
Worst Case
Complete service disruption of applications using OpenJPEG for image processing, potentially affecting availability of critical systems.
Likely Case
Application crashes or becomes unresponsive when processing malicious image files, leading to denial of service.
If Mitigated
Limited impact with proper input validation and resource limits in place.
🎯 Exploit Status
Exploitation requires providing a malicious image file to vulnerable systems.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: OpenJPEG 2.5.2 and later
Vendor Advisory: https://access.redhat.com/security/cve/CVE-2023-39329
Restart Required: Yes
Instructions:
1. Update OpenJPEG to version 2.5.2 or later. 2. Restart affected applications. 3. Rebuild any applications statically linked to OpenJPEG.
🔧 Temporary Workarounds
Input validation
allImplement strict input validation for image files before processing with OpenJPEG.
Resource limits
linuxSet resource limits on processes using OpenJPEG to prevent complete system exhaustion.
ulimit -v 1048576
ulimit -t 30
🧯 If You Can't Patch
- Disable JPEG 2000 image processing in affected applications
- Implement web application firewall rules to block suspicious image uploads
🔍 How to Verify
Check if Vulnerable:
Check OpenJPEG version: opj_decompress -v 2>&1 | grep versionCheck Version:
opj_decompress -v 2>&1 | grep -o 'version [0-9.]*'Verify Fix Applied:
Confirm OpenJPEG version is 2.5.2 or higher📡 Detection & Monitoring
Log Indicators:
- Application crashes
- High memory/CPU usage spikes
- Failed image processing operations
Network Indicators:
- Multiple failed image upload attempts
- Unusual image file upload patterns
SIEM Query:
source="application.log" AND ("segmentation fault" OR "out of memory" OR "opj_t1_decode_cblks")