CVE-2023-39010
📋 TL;DR
BoofCV 0.42 contains a code injection vulnerability in the camera calibration file loading component. Attackers can execute arbitrary code by tricking applications into loading malicious calibration files. This affects any application using BoofCV 0.42 for computer vision tasks.
💻 Affected Systems
- BoofCV
📦 What is this software?
Boofcv by Boofcv
⚠️ Risk & Real-World Impact
Worst Case
Remote code execution with full system compromise, allowing attackers to install malware, steal data, or pivot to other systems.
Likely Case
Application compromise leading to data theft, denial of service, or lateral movement within the affected environment.
If Mitigated
Limited impact through network segmentation and strict file validation, potentially resulting in application crash only.
🎯 Exploit Status
Exploitation requires tricking the application into loading a malicious calibration file, which could be achieved through various attack vectors.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 0.43 or later
Vendor Advisory: https://github.com/lessthanoptimal/BoofCV/issues/406
Restart Required: Yes
Instructions:
1. Update BoofCV dependency to version 0.43 or later. 2. Rebuild and redeploy affected applications. 3. Restart all services using BoofCV.
🔧 Temporary Workarounds
Input Validation
allImplement strict validation of calibration files before processing
Implement file signature validation
Use allowlists for trusted calibration sources
Network Controls
allRestrict network access to calibration file sources
Configure firewall rules to limit calibration file downloads
Use internal repositories only
🧯 If You Can't Patch
- Isolate affected systems in segmented network zones
- Implement strict file integrity monitoring for calibration files
🔍 How to Verify
Check if Vulnerable:
Check if BoofCV version 0.42 is in your dependency files (pom.xml, build.gradle, etc.)Check Version:
grep -r "boofcv" pom.xml build.gradle || java -cp "*" boofcv.VersionVerify Fix Applied:
Verify BoofCV version is 0.43 or later in dependency files and rebuilt applications📡 Detection & Monitoring
Log Indicators:
- Unexpected process execution from BoofCV context
- Failed calibration file loading attempts
- Stack traces containing CalibrationIO.load
Network Indicators:
- Unusual outbound connections from BoofCV processes
- Downloads of calibration files from untrusted sources
SIEM Query:
process_name:"java" AND cmdline:"boofcv" AND (event_type:"process_execution" OR event_type:"file_access")