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CVE-2026-74419

7.3 · HIGH
Published Aug 15, 2026 EPSS 0.11% (1th pctl)

Overview

CVE-2026-74419 is a high-severity vulnerability. It was published on August 15, 2026 and has a CVSS 3.1 base score of 7.3 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.3, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

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

accel/amdxdna: Adjust size for copy_to_user()

The amount of data returned to user space should be limited by the buffer

size provided by the application. If the buffer is smaller than the data

size, return only the portion that fits instead of failing.

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-2026-74419?

CVE-2026-74419 is a high-severity vulnerability. It was published on August 15, 2026 and has a CVSS 3.1 base score of 7.3 (HIGH).

How severe is CVE-2026-74419?

This vulnerability has a CVSS 3.1 base score of 7.3, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2026-74419?

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-2026-74419?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-74419 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.