CVE-2021-29549

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.raw_ops.QuantizedBatchNormWithGlobalNormalization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L289-L295) computes a modulo operation without validating that the divisor is not zero. Since vector_num_elements is determined based on input shapes(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L522-L544), a user can trigger scenarios where this quantity is 0. 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

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 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