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CVE-2017-15303

7.8 · HIGH
Published Oct 16, 2017 cpuid CWE-787 EPSS 1.53% (73th pctl)

Overview

CVE-2017-15303 is a high-severity vulnerability affecting cpuid cpu-z. It was published on October 16, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

In CPUID CPU-Z before 1.43, there is an arbitrary memory write that results directly in elevation of privileges, because any program running on the local machine (while CPU-Z is running) can issue an ioctl 0x9C402430 call to the kernel-mode driver (e.g., cpuz141_x64.sys for version 1.41).

Remediation

Check the references section for vendor advisories and patches from cpuid. Update cpu-z to the latest patched version. 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.

Affected Products

Vendor Product Versions Status
cpuid cpu-z 0 Affected

Frequently Asked Questions

What is CVE-2017-15303?

CVE-2017-15303 is a high-severity vulnerability affecting cpuid cpu-z. It was published on October 16, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2017-15303?

This vulnerability has a CVSS 3.0 base score of 7.8, 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-2017-15303?

Check the references section for vendor advisories and patches from cpuid. Update cpu-z to the latest patched version. 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-2017-15303?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-15303 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.