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CVE-2023-1079

6.8 · MEDIUM

A flaw was found in the Linux kernel.

Published Mar 27, 2023CWE-416EPSS 0.45%

Overview

CVE-2023-1079 is a medium-severity vulnerability. It was published on March 27, 2023 and has a CVSS 3.1 base score of 6.8 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.8, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical description

A flaw was found in the Linux kernel. A use-after-free may be triggered in asus_kbd_backlight_set when plugging/disconnecting in a malicious USB device, which advertises itself as an Asus device. Similarly to the previous known CVE-2023-25012, but in asus devices, the work_struct may be scheduled by the LED controller while the device is disconnecting, triggering a use-after-free on the struct asus_kbd_leds *led structure. A malicious USB device may exploit the issue to cause memory corruption with controlled data.

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-2023-1079?

CVE-2023-1079 is a medium-severity vulnerability. It was published on March 27, 2023 and has a CVSS 3.1 base score of 6.8 (MEDIUM).

How severe is CVE-2023-1079?

This vulnerability has a CVSS 3.1 base score of 6.8, 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-2023-1079?

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-2023-1079?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2023-1079 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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