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CVE-2016-2399

7.8 · HIGH
Published Jan 30, 2017 libquicktime CWE-190 EPSS 7.18% (94th pctl)

Overview

CVE-2016-2399 is a high-severity vulnerability affecting libquicktime libquicktime. It was published on January 30, 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. No authentication or special privileges are required for exploitation.

Technical Description

Integer overflow in the quicktime_read_pascal function in libquicktime 1.2.4 and earlier allows remote attackers to cause a denial of service or possibly have other unspecified impact via a crafted hdlr MP4 atom.

Remediation

Check the references section for vendor advisories and patches from libquicktime. Update libquicktime 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
libquicktime libquicktime 0 Affected

Frequently Asked Questions

What is CVE-2016-2399?

CVE-2016-2399 is a high-severity vulnerability affecting libquicktime libquicktime. It was published on January 30, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2016-2399?

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. 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-2016-2399?

Check the references section for vendor advisories and patches from libquicktime. Update libquicktime 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-2016-2399?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-2399 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.