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CVE-2026-64611

7.5 · HIGH

A flaw was found in libcupsfilters.

Published Jul 23, 2026CWE-835EPSS 0.63%

Overview

CVE-2026-64611 is a high-severity vulnerability. It was published on July 23, 2026 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

A flaw was found in libcupsfilters. The cfIEEE1284NormalizeMakeModel() function enters an infinite loop when processing a printer-advertised IEEE-1284 device ID with an empty model field, causing sustained CPU consumption. A network-adjacent attacker could exploit this by broadcasting a specially crafted printer advertisement, leading to 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.

Frequently asked questions

What is CVE-2026-64611?

CVE-2026-64611 is a high-severity vulnerability. It was published on July 23, 2026 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2026-64611?

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2026-64611?

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-2026-64611?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-64611 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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