PatchTheCVECVE-2026-55093: Tract is a tiny, no-nonsense, self-contained TensorFlow and ONNX inference toolkit
CVE-2026-55093 is a medium-severity flaw (CVSS 6.1) affecting affected software. Below: why it ranks where it does, which versions are affected, what to do, and the exact commands.
Tract is a tiny, no-nonsense, self-contained TensorFlow and ONNX inference toolkit. Prior to 0.21.16, 0.22.2, and 0.23.1, tract-nnef uses unchecked usize multiplication in nnef/src/tensors.rs read_tensor for attacker-controlled tensor dimensions, the allocation size, and the reported tensor length. Loading a crafted NNEF archive through model_for_path or model_for_read reaches the default DatLoader and can make the wrapped size check accept a sma
Why this priority
- No elevated risk signals yet
No fix is published yet: follow the downgrade or mitigation steps.
Last updated 2026-09-30 · Sources: CVE Program, NVD, CISA KEV, EPSS and vendor advisories · How we score
Timeline
- Published CVE record published
- Updated Record last modified
Scores and fixes here are computed automatically from those and other public sources. Confirm with the vendor advisory before changing production systems.
Quick answers
How do I fix CVE-2026-55093?
No fixed release is listed yet. Watch the vendor advisory and apply any mitigation shown on this page.
Is CVE-2026-55093 being exploited?
CVE-2026-55093 is not on the CISA Known Exploited Vulnerabilities list at the time of the last update. Check again, as this can change.
What does CVE-2026-55093 affect?
CVE-2026-55093 affects affected software. Severity is medium (CVSS 6.1). Tract is a tiny, no-nonsense, self-contained TensorFlow and ONNX inference toolkit. Prior to 0.21.16, 0.22.2, and 0.23.1, tract-nnef uses unchecked usize multiplication in nnef/src/tensors.rs read_tensor for attacker-controlled tensor dimen
How urgent is CVE-2026-55093?
Priority 23/100. No elevated risk signals yet.