Heap-based Buffer Overflow Affecting tensorflow-gpu-jupyter package, versions <2.21.0-r13
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-CHAINGUARDLATEST-TENSORFLOWGPUJUPYTER-21435173
- published23 Oct 2026
- disclosed19 Oct 2026
Introduced: 19 Oct 2026
NewCVE-2026-112403 (opens in a new tab)How to fix?
Upgrade Chainguard tensorflow-gpu-jupyter to version 2.21.0-r13 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream tensorflow-gpu-jupyter package and not the tensorflow-gpu-jupyter package as distributed by Chainguard.
See How to fix? for Chainguard relevant fixed versions and status.
Pillow is a Python imaging library. Prior to 13.0.0, Pillow's JPEG decoder can write a full-width scanline into a buffer sized for a requested draft scale. ImagingJpegDecode does not verify libjpeg's actual output width and component count after scaling is requested, and an 8-bit lossless SOF3 JPEG decoded by a build linked to libjpeg-turbo 3.x can ignore the requested downscaling geometry. An attacker can supply such a JPEG to an application that uses draft() or thumbnail() to request downscaling. This can corrupt heap memory, crash the process, or potentially allow code execution. Older libjpeg-turbo 2.x and IJG builds reject the SOF3 input. This issue is fixed in version 13.0.0.