A AegiFlow
HIGHCVSS 7.1EPSS 0.4%

CVE-2026-91971

CVE-2026-91971 updated by NVD

Published
2026-10-09
Modified
2026-10-09
EPSS percentile
36%
Sources
github-advisory, nvd

Summary

Vikunja before 2.6.0 fails to apply pixel decode limits to avatar and project-background upload endpoints, allowing authenticated users to upload crafted images that decode to excessive pixel counts. Attackers can upload small images with extreme aspect ratios that consume significant CPU and memory during processing, causing denial of service through repeated or concurrent uploads.

Affected packages

EcosystemPackageAffected versionsFixed versions
Gocode.vikunja.io/api—2.6.0

Remediation: Upgrade to 2.6.0 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

CVE® is a registered trademark of The MITRE Corporation. CVE content reproduced under the CVE Terms of Use; copyright designation © MITRE.

EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.