CVE-2021-29554

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in tf.raw_ops.DenseCountSparseOutput. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since data is given by the values argument, num_batch_elements is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.

Risk Information

Base Score

5.5

MODERATE

Vector

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

EPSS Score

Exploitation Probability

0.015

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-cpu 2.3.3	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.4.2	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 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-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-gpu for linux 2.3.3	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.4.2	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