CVE-2021-29574

Description

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.MaxPool3DGradGrad exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The implementation(https://github.com/tensorflow/tensorflow/blob/72fe792967e7fd25234342068806707bbc116618/tensorflow/core/kernels/pooling_ops_3d.cc#L679-L703) fails to validate that the 3 tensor inputs are not empty. If any of them is empty, then accessing the elements in the tensor results in dereferencing a null pointer. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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

0.017

Associated Vulnerability

Vulnerability	OS Platform
Multiple vulnerabilities are fixed in Python-tensorflow 2.3.3	Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.4.2	Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.1.4	Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.2.3	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.3	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.4.2	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.1.4	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.2.3	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.3	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.4.2	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.1.4	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.2.3	Windows
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.3	Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.4.2	Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.1.4	Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.2.3	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.3.3	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.4.2	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.1.4	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.2.3	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.3.3	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.4.2	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.1.4	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.2.3	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