Go to homepageCyberStrike

Menu

Star on GitHub · 3.3k
Sign inDownload

CVE-2022-21728

8.1 · HIGH

Tensorflow is an Open Source Machine Learning Framework.

Published Feb 3, 2022CWE-125EPSS 1.13%

Overview

CVE-2022-21728 is a high-severity vulnerability. It was published on February 3, 2022 and has a CVSS 3.1 base score of 8.1 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.1, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

References

GitHubgithub.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428GitHubgithub.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671GitHubgithub.com/tensorflow/tensorflow/commit/37c01fb5e25c3d80213060460196406c43d31995GitHubgithub.com/tensorflow/tensorflow/security/advisories/GHSA-6gmv-pjp9-p8w8GitHubgithub.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428GitHubgithub.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671GitHubgithub.com/tensorflow/tensorflow/commit/37c01fb5e25c3d80213060460196406c43d31995GitHubgithub.com/tensorflow/tensorflow/security/advisories/GHSA-6gmv-pjp9-p8w8

How CyberStrike helps

Frequently asked questions

What is CVE-2022-21728?

CVE-2022-21728 is a high-severity vulnerability. It was published on February 3, 2022 and has a CVSS 3.1 base score of 8.1 (HIGH).

How severe is CVE-2022-21728?

This vulnerability has a CVSS 3.1 base score of 8.1, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2022-21728?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2022-21728?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2022-21728 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

Related HIGH CVEs from 2022

View all
Browse by year2026202520242023202220212020201920182017201620152014201320122011201020092008200720062005200420032002200120001999
LiveWatch live →