Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2016-3622

6.5 · MEDIUM
Published Oct 3, 2016 libtiff CWE-369 EPSS 3.89% (89th pctl)

Overview

CVE-2016-3622 is a medium-severity vulnerability affecting libtiff libtiff. It was published on October 3, 2016 and has a CVSS 3.0 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

The fpAcc function in tif_predict.c in the tiff2rgba tool in LibTIFF 4.0.6 and earlier allows remote attackers to cause a denial of service (divide-by-zero error) via a crafted TIFF image.

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-2016-3622?

CVE-2016-3622 is a medium-severity vulnerability affecting libtiff libtiff. It was published on October 3, 2016 and has a CVSS 3.0 base score of 6.5 (MEDIUM).

How severe is CVE-2016-3622?

This vulnerability has a CVSS 3.0 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2016-3622?

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-2016-3622?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-3622 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.