CVE-2021-41211

Description

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for QuantizeV2 can trigger a read outside of bounds of heap allocated array. This occurs whenever axis is a negative value less than -1. In this case, we are accessing data before the start of a heap buffer. The code allows axis to be an optional argument (s would contain an error::NOT_FOUND error code). Otherwise, it assumes that axis is a valid index into the dimensions of the input tensor. If axis is less than -1 then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

Risk Information

Base Score

7.1

MODERATE

Vector

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

EPSS Score

Exploitation Probability

0.019

Associated Vulnerability

Vulnerability	OS Platform
Multiple vulnerabilities are fixed in Python-tensorflow 2.6.1	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.6.1	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.6.1	Windows
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.6.1	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.6.1	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.6.1	Linux

Patch Details

No records found

References

https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234