CVE-2025-15506 Overview
A memory safety vulnerability has been identified in AcademySoftwareFoundation OpenColorIO, an open-source color management framework widely used in visual effects, animation, and film production pipelines. The vulnerability affects the ConvertToRegularExpression function within the src/OpenColorIO/FileRules.cpp file, where improper buffer boundary handling leads to an out-of-bounds read condition.
Critical Impact
Local attackers with low privileges can trigger an out-of-bounds read that may cause denial of service or potentially leak sensitive memory contents from affected applications using OpenColorIO.
Affected Products
- AcademySoftwareFoundation OpenColorIO versions up to 2.5.0
- Applications and rendering pipelines integrating vulnerable OpenColorIO versions
- Visual effects and color grading software utilizing OpenColorIO library
Discovery Timeline
- 2026-01-11 - CVE CVE-2025-15506 published to NVD
- 2026-01-13 - Last updated in NVD database
Technical Details for CVE-2025-15506
Vulnerability Analysis
This vulnerability is classified as CWE-119 (Improper Restriction of Operations within the Bounds of a Memory Buffer). The flaw resides in the ConvertToRegularExpression function responsible for processing file rule patterns in OpenColorIO configurations. When specially crafted input is provided, the function fails to properly validate buffer boundaries before performing read operations, allowing access to memory outside the intended allocation.
The vulnerability requires local access to exploit, meaning an attacker needs the ability to provide malicious input to an application using the vulnerable OpenColorIO library. This could occur through processing malformed color configuration files, manipulated file rules, or other input vectors that reach the affected code path.
A proof-of-concept exploit has been publicly disclosed, increasing the urgency for organizations to patch affected systems. The public availability of exploit code lowers the barrier for potential attackers to weaponize this vulnerability.
Root Cause
The root cause stems from insufficient bounds checking in the ConvertToRegularExpression function located in src/OpenColorIO/FileRules.cpp. When processing regular expression conversion operations, the function does not adequately verify that array or buffer accesses remain within allocated bounds, resulting in out-of-bounds memory reads when parsing certain input patterns.
Attack Vector
The attack requires local access to the system running a vulnerable OpenColorIO-integrated application. An attacker with low privileges can craft malicious input data that, when processed by the ConvertToRegularExpression function, triggers the out-of-bounds read. This could be achieved by:
- Supplying a malformed color configuration file to an application using OpenColorIO
- Manipulating file rule patterns processed by the library
- Providing crafted input through any application interface that ultimately passes data to the vulnerable function
The vulnerability does not require user interaction beyond the initial processing of malicious input. Technical details regarding the exploitation mechanism can be found in the GitHub Issue #2228 and the associated proof-of-concept repository.
Detection Methods for CVE-2025-15506
Indicators of Compromise
- Unexpected application crashes or segmentation faults in processes using OpenColorIO
- Memory access violations originating from FileRules.cpp or ConvertToRegularExpression function calls
- Unusual memory read patterns in OpenColorIO library operations
- Application error logs indicating buffer overread conditions
Detection Strategies
- Deploy memory safety tools such as AddressSanitizer (ASan) to detect out-of-bounds read attempts in development and testing environments
- Monitor application crash dumps for stack traces involving ConvertToRegularExpression or FileRules.cpp
- Implement runtime integrity monitoring for applications processing color configuration files
- Use SentinelOne Singularity platform to detect anomalous memory access patterns in protected endpoints
Monitoring Recommendations
- Enable verbose logging in applications using OpenColorIO to capture file rule processing events
- Set up alerting for application crashes involving OpenColorIO library components
- Monitor for suspicious color configuration file modifications or introductions
- Track process behavior for abnormal memory access patterns using endpoint detection and response (EDR) solutions
How to Mitigate CVE-2025-15506
Immediate Actions Required
- Upgrade AcademySoftwareFoundation OpenColorIO to version 2.5.1 or later, which contains the security fix
- Review and audit any custom color configuration files for potentially malicious content
- Restrict access to systems running vulnerable OpenColorIO versions to trusted users only
- Enable additional memory protection features (ASLR, DEP) on systems running affected applications
Patch Information
The vulnerability has been addressed in the OpenColorIO 2.5.1 milestone. The fix is contained in commit ebdbb75123c9d5f4643e041314e2bc988a13f20d, which adds proper boundary validation to the ConvertToRegularExpression function. Organizations should update to version 2.5.1 or apply the patch from GitHub Pull Request #2231.
For additional technical details regarding the fix, refer to the GitHub Commit ebdbb7 and the 2.5.1 milestone.
Workarounds
- Limit processing of color configuration files to trusted sources only until patching is complete
- Implement input validation for file rules before passing to OpenColorIO library
- Run applications using OpenColorIO in sandboxed environments with restricted memory access
- Consider temporarily disabling file rule functionality if not critical to operations
# Verify OpenColorIO version and upgrade if needed
# Check current version
ociocheck --version
# Update to patched version using package manager (example for CMake build)
git clone https://github.com/AcademySoftwareFoundation/OpenColorIO.git
cd OpenColorIO
git checkout v2.5.1
mkdir build && cd build
cmake ..
make && sudo make install
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


