CVE-2026-44246: nnU-Net is a semantic segmentation framework that automatically adapts its pipeline to a dataset. Prior to 2.4.1, the nn
Summary
nnU-Net (a framework for automatically analyzing and segmenting images) had a vulnerability in its GitHub workflow where untrusted user input from issue titles and descriptions were sent directly to an AI agent without proper filtering. This allowed attackers to trick the AI agent into performing unintended actions like commenting on or relabeling issues, since the workflow ran automatically whenever someone opened an issue.
Solution / Mitigation
This vulnerability is fixed in version 2.4.1.
Vulnerability Details
7.2(high)
EPSS: 0.0%
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N
network
low
none
none
May 12, 2026
Classification
Affected Vendors
Related Issues
Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-44246
First tracked: May 12, 2026 at 08:09 PM
Classified by LLM (prompt v3) · confidence: 95%