CVE-2017-16663
5.5 · MEDIUMOverview
CVE-2017-16663 is a medium-severity vulnerability affecting sam2p_project sam2p. It was published on November 8, 2017 and has a CVSS 3.0 base score of 5.5 (MEDIUM).
This vulnerability has a CVSS 3.0 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
Technical Description
In sam2p 0.49.4, there are integer overflows (with resultant heap-based buffer overflows) in input-bmp.ci in the function ReadImage, because "width * height" multiplications occur unsafely.
Remediation
Check the references section for vendor advisories and patches from sam2p_project. Update sam2p to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
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Frequently Asked Questions
What is CVE-2017-16663?
CVE-2017-16663 is a medium-severity vulnerability affecting sam2p_project sam2p. It was published on November 8, 2017 and has a CVSS 3.0 base score of 5.5 (MEDIUM).
How severe is CVE-2017-16663?
This vulnerability has a CVSS 3.0 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2017-16663?
Check the references section for vendor advisories and patches from sam2p_project. Update sam2p to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2017-16663?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-16663 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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