# CVE-2026-55093

## Summary

- **CVE ID:** CVE-2026-55093
- **Severity:** MEDIUM
- **CVSS Score:** 6.1 (CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H)
- **CWE:** CWE-125, CWE-190
- **Published:** Sep 14, 2026
- **Last Modified:** Sep 14, 2026

## Description

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 small allocation while data/src/tensor.rs as_slice_unchecked creates a much larger logical slice. Model construction through as_uniform can then read beyond the heap allocation and disclose adjacent data, and later access can terminate the process with a segmentation fault. The affected dense numeric tensor path does not include the independently guarded bool, String, or block-quant paths, and no out-of-bounds write or code execution was demonstrated. This issue is fixed in versions 0.21.16, 0.22.2, and 0.23.1.

## Affected Products

- sonos — tract (< 0.21.16)
- sonos — tract (>= 0.22.0, < 0.22.2)
- sonos — tract (>= 0.23.0, < 0.23.1)

## References

- [CNA](https://github.com/sonos/tract/security/advisories/GHSA-x5mv-8wgw-29hg)
- [CNA](https://github.com/sonos/tract/commit/34c7df2c9bd2a36583e09b52f3e6319bf23102e8)
- [CNA](https://github.com/sonos/tract/commit/828ec20f74c14c0923c7d7f0cff062ed222d630a)
- [CNA](https://github.com/sonos/tract/commit/ee5f019d39fb97f7d4431b883c3ce97b74c28a64)
- [CNA](https://github.com/sonos/tract/releases/tag/0.21.16)
- [CNA](https://github.com/sonos/tract/releases/tag/0.22.2)
- [CNA](https://github.com/sonos/tract/releases/tag/v0.23.1)

## Exploitation Prediction (EPSS)

- **EPSS Score:** 0.20%
- **EPSS Percentile:** 9.9

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_Exported from OnDuty AI Vulnerability Intelligence on 2026-09-18._