Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2026-72017

Published Aug 15, 2026 EPSS 0.21% (11th pctl)

Overview

CVE-2026-72017 is a known-severity vulnerability. It was published on August 15, 2026.

Technical Description

In the Linux kernel, the following vulnerability has been resolved:

net: macb: drop in-flight Tx SKBs on close

The MACB driver has since forever leaked the outgoing SKBs that

have not yet been marked as completed. They live in queue->tx_skb

which gets freed without remorse nor checking.

macb_free_consistent() gets called in a few codepaths, but only close will

trigger the added expressions. In macb_open() and macb_alloc_consistent()

failure cases, queues' tx_skb just got allocated and are empty.

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-2026-72017?

CVE-2026-72017 is a known-severity vulnerability. It was published on August 15, 2026.

How severe is CVE-2026-72017?

CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.

How do I fix or remediate CVE-2026-72017?

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-2026-72017?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-72017 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.