CVE-2026-75466
6.5 · MEDIUMlibjpeg-turbo 3.2.0 contains an integer division-by-zero vulnerability in the PNG loader.
Overview
CVE-2026-75466 is a medium-severity vulnerability. It was published on August 26, 2026 and has a CVSS 3.1 base score of 6.5 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical description
libjpeg-turbo 3.2.0 contains an integer division-by-zero vulnerability in the PNG loader. When processing a valid indexed-color PNG image with a non-gray palette through tj3LoadImage12() or tj3LoadImage16() using the default pixel format, the application may trigger a division-by-zero in alloc_sarray(), causing a SIGFPE and denial of service.
Remediation
Check the references section for vendor advisories, patches, and mitigation guidance. 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.
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Frequently asked questions
What is CVE-2026-75466?
CVE-2026-75466 is a medium-severity vulnerability. It was published on August 26, 2026 and has a CVSS 3.1 base score of 6.5 (MEDIUM).
How severe is CVE-2026-75466?
This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2026-75466?
Check the references section for vendor advisories, patches, and mitigation guidance. 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-2026-75466?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-75466 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.
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