CVE-2022-21728

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batch_dim and can result in a heap OOB read. There is a check to make sure the value of batch_dim does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Pythons negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of Dim would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Risk Information

Base Score
8.1
MODERATE
Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
EPSS Score
Exploitation Probability
1.124

Associated Vulnerability

VulnerabilityOS Platform
Multiple vulnerabilities are fixed in Python-tensorflow 2.5.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.6.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.7.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.5.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.6.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.7.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.5.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.6.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.7.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.5.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.6.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.7.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.5.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.6.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.7.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.5.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.6.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.7.1Linux

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