Ecosyste.ms: Advisories

Security Advisories: MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLWNmcGotM3E0Yy1qaHZy

Division by zero in TFLite

Impact

The implementation of fully connected layers in TFLite is vulnerable to a division by zero error:

const int batch_size = input_size / filter->dims->data[1];

An attacker can craft a model such that filter->dims->data[1] is 0.

Patches

We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360. Concurrently, it has also been reported by Yakun Zhang of Baidu Security.

Permalink: https://github.com/advisories/GHSA-cfpj-3q4c-jhvr
JSON: https://advisories.ecosyste.ms/api/v1/advisories/MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLWNmcGotM3E0Yy1qaHZy
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Moderate
Classification: General
Published: over 2 years ago
Updated: about 1 year ago

CVSS Score: 5.5
CVSS vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Identifiers: GHSA-cfpj-3q4c-jhvr, CVE-2021-37680
References:

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cfpj-3q4c-jhvr
• https://nvd.nist.gov/vuln/detail/CVE-2021-37680
• https://github.com/tensorflow/tensorflow/commit/718721986aa137691ee23f03638867151f74935f
• https://github.com/advisories/GHSA-cfpj-3q4c-jhvr

Repository: https://github.com/tensorflow/tensorflow
Blast Radius: 26.8

Affected Packages