CVE-2016-1517: Improper Input Validation in OpenCV
Summary
CVE-2016-1517: Improper Input Validation in OpenCV. Affects opencv-python versions < 3.3.1.11. Fixed in 3.3.1.11. How to fix ↓
Also tracked for
- opencv-contrib-python · PyPI
- opencv · Debian:11
The same CVE-2016-1517 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.
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Background
OpenCV is an open-source computer vision and machine learning software library. It provides a wide range of functions and algorithms for image and video processing, feature detection, object recognition, and more. OpenCV is widely used in various applications, including robotics, augmented reality, and surveillance systems. However, a vulnerability has been discovered in OpenCV version 3.0.0 that allows remote attackers to cause a denial of service (segfault) through vectors involving corrupt chunks. This issue was addressed in OpenCV version 3.3.1.11.
Vulnerability Detail
The vulnerability in OpenCV version 3.0.0 arises from improper input validation. Remote attackers can exploit this vulnerability by providing corrupt chunks, leading to a denial of service (segfault). The impact of this vulnerability can disrupt the availability of the affected system, potentially affecting critical operations that rely on OpenCV. The Common Vulnerability Scoring System (CVSS) score for this vulnerability is 5.5, indicating a moderate severity level.
How To Fix
Minimum fixed version
3.3.1.11
This is the first release that contains the fix.
pip install --upgrade "opencv-python==3.3.1.11"Tip — Not sure which version your app runs? Vulert can match this fix to it. Scan free →
Workaround
There is no specific workaround available for this vulnerability. It is strongly advised to upgrade to the fixed version of OpenCV to ensure the security and stability of the system.
Conclusion
In conclusion, OpenCV version 3.0.0 is vulnerable to improper input validation, which can result in a denial of service. Users are advised to upgrade to OpenCV version 3.3.1.11 or later to mitigate this vulnerability. For further assistance or support in vulnerability remediation, please contact DevNack.com.
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FAQ
OpenCV is an open-source computer vision and machine learning software library used for image and video processing, object recognition, and more.
The vulnerability allows remote attackers to cause a denial of service (segfault), potentially disrupting the availability of the affected system.
To fix this vulnerability, it is recommended to upgrade to OpenCV version 3.3.1.11 or later.
No, there is no specific workaround available. Upgrading to the fixed version is the recommended solution.
The CVSS score for this vulnerability is 5.5, indicating a moderate severity level.
References
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