Denial of Service Vulnerability in OpenCV Package: CVE-2016-1517
Summary
CVE-2016-1517: OpenCV 3.0.0 allows remote attackers to cause a denial of service (segfault) via vectors involving corrupt chunks. Affects opencv across 3 version ranges.
< 3.2.0+dfsg-6
< 6123e891224037d6dd0143363fb81476560c7196
< c12243cf4fccf5df7b0270a32883986b373dca7b
Fixed in 3.2.0+dfsg-6. How to fix ↓
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Background
OpenCV is an open-source computer vision and machine learning software library that provides a common infrastructure for computer vision applications. It is widely used for real-time image processing, video analysis, and machine learning tasks. The library is designed to be efficient and flexible, making it a popular choice among developers. However, OpenCV version 3.0.0 has a vulnerability that can lead to a denial of service, specifically a segmentation fault, when processing corrupt data chunks.
Vulnerability Detail
CVE-2016-1517 is a vulnerability found in OpenCV 3.0.0 that allows remote attackers to exploit the library by sending specially crafted input that leads to a segmentation fault. This can cause the application using OpenCV to crash, resulting in a denial of service. The vulnerability arises from improper handling of corrupt data chunks, which can be manipulated by an attacker to trigger the fault. The severity of this vulnerability is rated with a CVSS score of 5.5, indicating a moderate risk to affected systems.
How To Fix
Minimum fixed version
3.2.0+dfsg-6
This is the first release that contains the fix.
sudo apt-get install --only-upgrade opencv
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Workaround
If upgrading is not immediately possible, a temporary workaround is to validate and sanitize all input data before processing it with OpenCV. This can help mitigate the risk of triggering the vulnerability. Additionally, consider implementing error handling in your application to gracefully manage any unexpected crashes.
Conclusion
CVE-2016-1517 is a significant vulnerability in OpenCV 3.0.0 that can lead to denial of service through segmentation faults caused by corrupt data. Users are advised to upgrade to a fixed version to mitigate risks. Additionally, implementing input validation can serve as a temporary workaround until the upgrade is completed.
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FAQ
CVE-2016-1517 is a vulnerability in OpenCV 3.0.0 that allows remote attackers to cause a denial of service through segmentation faults triggered by corrupt data.
You can use the Vulert platform to monitor and alert for open-source vulnerabilities in your software. Simply upload your manifest file like package-lock.json to check for vulnerabilities.
Exploitation of this vulnerability can lead to application crashes, resulting in denial of service for users relying on the affected application.
Validating and sanitizing input data before processing it with OpenCV can help prevent exploitation of this vulnerability.
The CVSS score for CVE-2016-1517 is 5.5, indicating a moderate level of risk associated with this vulnerability.
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