Learn about CVE-2017-1000450 affecting OpenCV 3.3 and earlier versions. Discover the impact, technical details, affected systems, exploitation risks, and mitigation steps.
OpenCV 3.3 and earlier versions are affected by a crucial vulnerability in the FillUniColor and FillUniGray functions, leading to potential remote code execution or denial of service.
Understanding CVE-2017-1000450
This CVE entry highlights a vulnerability in OpenCV versions 3.3 and earlier that could have severe consequences if exploited.
What is CVE-2017-1000450?
The vulnerability exists in the FillUniColor and FillUniGray functions within opencv/modules/imgcodecs/src/utils.cpp. It stems from the lack of input length verification, which may result in an integer overflow. This flaw can be exploited for remote code execution or denial of service attacks, particularly when processing images from remote sources.
The Impact of CVE-2017-1000450
The consequences of this vulnerability can range from unauthorized remote code execution to denial of service, posing a significant threat to systems utilizing affected OpenCV versions.
Technical Details of CVE-2017-1000450
This section delves into the technical aspects of the CVE, providing insights into the vulnerability's description, affected systems, and exploitation mechanism.
Vulnerability Description
The FillUniColor and FillUniGray functions in OpenCV fail to validate input length, potentially leading to an integer overflow. Exploiting this flaw can result in severe security breaches.
Affected Systems and Versions
Exploitation Mechanism
The lack of input length verification in the FillUniColor and FillUniGray functions allows malicious actors to trigger an integer overflow, enabling them to execute remote code or disrupt services.
Mitigation and Prevention
In response to CVE-2017-1000450, it is crucial to implement immediate steps and adopt long-term security practices to mitigate risks effectively.
Immediate Steps to Take
Long-Term Security Practices
Patching and Updates