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Vulnerability Details : CVE-2021-29556

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.Reverse`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/36229ea9e9451dac14a8b1f4711c435a1d84a594/tensorflow/core/kernels/reverse_op.cc#L75-L76) performs a division based on the first dimension of the tensor argument. 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.
Publish Date : 2021-05-14 Last Update Date : 2021-05-17
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- CVSS Scores & Vulnerability Types

CVSS Score
2.1
Confidentiality Impact None (There is no impact to the confidentiality of the system.)
Integrity Impact None (There is no impact to the integrity of the system)
Availability Impact Partial (There is reduced performance or interruptions in resource availability.)
Access Complexity Low (Specialized access conditions or extenuating circumstances do not exist. Very little knowledge or skill is required to exploit. )
Authentication Not required (Authentication is not required to exploit the vulnerability.)
Gained Access None
Vulnerability Type(s) Denial Of Service
CWE ID 369

- Products Affected By CVE-2021-29556

# Product Type Vendor Product Version Update Edition Language
1 Application Google Tensorflow * * * * Version Details Vulnerabilities

- Number Of Affected Versions By Product

Vendor Product Vulnerable Versions
Google Tensorflow 1

- References For CVE-2021-29556

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxqh-cfjm-fp93 CONFIRM
https://github.com/tensorflow/tensorflow/commit/4071d8e2f6c45c1955a811fee757ca2adbe462c1

- Metasploit Modules Related To CVE-2021-29556

There are not any metasploit modules related to this CVE entry (Please visit www.metasploit.com for more information)
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