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CVE-2017-15185

5.0 · MEDIUM
Published Oct 9, 2017 libmp3splt_project CWE-20 EPSS 1.71% (76th pctl)

Overview

CVE-2017-15185 is a medium-severity vulnerability affecting libmp3splt_project libmp3splt. It was published on October 9, 2017 and has a CVSS 3.0 base score of 5.0 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 5.0, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

plugins/ogg.c in Libmp3splt 0.9.2 calls the libvorbis vorbis_block_clear function with uninitialized data upon detection of invalid input, which allows remote attackers to cause a denial of service (application crash) via a crafted file.

Remediation

Check the references section for vendor advisories and patches from libmp3splt_project. Update libmp3splt 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

Frequently Asked Questions

What is CVE-2017-15185?

CVE-2017-15185 is a medium-severity vulnerability affecting libmp3splt_project libmp3splt. It was published on October 9, 2017 and has a CVSS 3.0 base score of 5.0 (MEDIUM).

How severe is CVE-2017-15185?

This vulnerability has a CVSS 3.0 base score of 5.0, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2017-15185?

Check the references section for vendor advisories and patches from libmp3splt_project. Update libmp3splt 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-2017-15185?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-15185 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.