CVE-2021-37665

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantization_range_per_channel_op.cc) does not validate the dimensions of the input tensor. A similar issue occurs in MklRequantizePerChannelOp. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantize_per_channel_op.cc) does not perform full validation for all the input arguments. We have patched the issue in GitHub commit 9e62869465573cb2d9b5053f1fa02a81fce21d69 and in the Github commit 203214568f5bc237603dbab6e1fd389f1572f5c9. 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.

Risk Information

Base Score
7.8
MODERATE
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score
Exploitation Probability
0.037

Associated Vulnerability

VulnerabilityOS Platform
Multiple vulnerabilities are fixed in Python-tensorflow 2.3.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.4.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.5.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.4.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.5.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.4.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.5.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.4.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.5.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.3.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.4.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.5.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.3.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.4.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.5.1Linux

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