CVE-2026-75093
Received Received - Intake

Heap Buffer Overflow in Sonos Tract

Publication date: 2026-08-18

Last updated on: 2026-08-18

Assigner: VulDB

Description
A security vulnerability has been detected in sonos tract up to 0.23.4. This impacts the function Tensor::from_raw_dt_align of the file data/src/tensor.rs of the component ONNX Initializer Loader. Such manipulation leads to incorrect calculation of buffer size. The attack may be launched remotely. The exploit has been disclosed publicly and may be used. The name of the patch is 66b10bda8895f4bfaf8c205361f0125cdf51f99b. It is best practice to apply a patch to resolve this issue.

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Meta Information

Published
2026-08-18
Last Modified
2026-08-18
Generated
2026-08-18
AI Q&A
2026-08-18
EPSS Evaluated
N/A
NVD
CVE-2026-75093
EUVD
EUVD-2026-60565

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
sonos tract to 0.23.4 (inc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-120 The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer.
CWE-131 The product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow.

Attack-Flow Graph

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Executive Summary

This vulnerability is a denial-of-service (DoS) issue in the Sonos Tract library affecting versions up to 0.23.4. It occurs in the Tensor::from_raw_dt_align function of data/src/tensor.rs. The function allocates memory based on a tensor's declared shape but fails to validate the raw data length before copying it. If the raw data size does not match the expected size, a panic occurs during model loading, crashing the application.

Detection Guidance

To detect this vulnerability, inspect ONNX models loaded by the Sonos Tract library for mismatched tensor dimensions and raw data sizes. Check for panics or crashes during model loading, particularly in functions like Tensor::from_raw_dt_align. Review logs for errors related to buffer size miscalculations or copy_from_slice failures.

Impact Analysis

An attacker could exploit this by providing a malformed ONNX model with mismatched tensor dimensions and raw data size. This would cause the application to crash when loading the model, leading to a denial-of-service. The impact is limited to crashes during model loading and does not allow code execution or data theft.

Compliance Impact

This vulnerability primarily causes a denial-of-service (DoS) condition by crashing the application when processing malformed ONNX models. It does not directly lead to data breaches or unauthorized access, which are key concerns for GDPR and HIPAA. However, repeated DoS attacks could disrupt services handling sensitive data, potentially impacting compliance by degrading availability of systems required to maintain data integrity and access controls.

Mitigation Strategies

Apply the patch 66b10bda8895f4bfaf8c205361f0125cdf51f99b to the Sonos Tract library. Update to version 0.23.5 or later. Avoid loading untrusted ONNX models until patched. Monitor for crashes during model loading as potential exploitation attempts.

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