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CVE-2016-5652

7.0 · HIGH
Published Jan 6, 2017 libtiff CWE-119 EPSS 4.30% (90th pctl)

Overview

CVE-2016-5652 is a high-severity vulnerability affecting libtiff libtiff. It was published on January 6, 2017 and has a CVSS 3.0 base score of 7.0 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.0, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical Description

An exploitable heap-based buffer overflow exists in the handling of TIFF images in LibTIFF's TIFF2PDF tool. A crafted TIFF document can lead to a heap-based buffer overflow resulting in remote code execution. Vulnerability can be triggered via a saved TIFF file delivered by other means.

Remediation

Check the references section for vendor advisories and patches from libtiff. Update libtiff 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-2016-5652?

CVE-2016-5652 is a high-severity vulnerability affecting libtiff libtiff. It was published on January 6, 2017 and has a CVSS 3.0 base score of 7.0 (HIGH).

How severe is CVE-2016-5652?

This vulnerability has a CVSS 3.0 base score of 7.0, 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-2016-5652?

Check the references section for vendor advisories and patches from libtiff. Update libtiff 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-2016-5652?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-5652 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.