CVE-2021-37682 Information

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions all TFLite operations that use quantization can be made to use unitialized values. For example. The issue stems from the fact that quantization.params is only valid if quantization.type is different that kTfLiteNoQuantization. However these checks are missing in large parts of the code. We have patched the issue in GitHub commits 537bc7c723439b9194a358f64d871dd326c18887 4a91f2069f7145aab6ba2d8cfe41be8a110c18a5 and 8933b8a21280696ab119b63263babdb54c298538. 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.

CVSS Vector

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

Reference

https://github.com/tensorflow/tensorflow/commit/537bc7c723439b9194a358f64d871dd326c18887 https://github.com/tensorflow/tensorflow/commit/4a91f2069f7145aab6ba2d8cfe41be8a110c18a5 https://github.com/tensorflow/tensorflow/commit/8933b8a21280696ab119b63263babdb54c298538 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4c4g-crqm-xrxw

Attack Complexity

LOW

Privileges Required

LOW

User Interaction Required

LOW

Scope

NONE

Confidentiality Impact

UNCHANGED

Integrity Impact

NONE

Availability Impact

HIGH

Base Score

HIGH

Base Severity

7.1