CVE-2016-5323 Libtiff CVE debrief

Who should care

Teams that ship or embed libtiff, plus products and services that accept or render untrusted TIFF images. This matters most for image processing pipelines, document workflows, thumbnailing services, and any downstream package that bundles libtiff.

Technical summary

The NVD record describes a divide-by-zero condition in the _TIFFFax3fillruns function in libtiff before 4.0.6. The impact is denial of service only: CVSS 3.0 is AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H, and the weakness is mapped to CWE-369. The supplied references also point to downstream security advisories from openSUSE, Debian, and Gentoo, indicating broad packaging impact.

Defensive priority

High for any environment that processes attacker-controlled TIFF files or exposes TIFF handling in network-facing or automation workflows. The issue is remotely triggerable and requires no privileges or user interaction per the CVSS vector, so remediation should be prioritized in internet-facing or shared-service contexts.

Recommended defensive actions

• Upgrade libtiff to version 4.0.6 or later, or apply the vendor backport provided by your operating system package maintainer.
• Inventory applications and services that rely on libtiff indirectly, since downstream packages may need their own security updates.
• Restrict or validate untrusted TIFF inputs in workflows that cannot be updated immediately, and monitor for crashes in image-processing components.
• Check distro security advisories and package changelogs for the affected platform-specific fixes referenced in the NVD record.

Evidence notes

This debrief is based on the supplied NVD CVE record and listed references only. The record states that libtiff before 4.0.6 is vulnerable and that a crafted TIFF image can cause a divide-by-zero crash in _TIFFFax3fillruns. The CVSS vector supplied by NVD indicates network reachability, no privileges, and no user interaction. Published date used here is the CVE publication timestamp provided in the source corpus (2017-01-20); the later modified timestamp is not treated as the issue date.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.