CVE-2021-29619 - Vulnerability Details - OpenCVE

TensorFlow is an end-to-end open source platform for machine learning. Passing invalid arguments (e.g., discovered via fuzzing) to `tf.raw_ops.SparseCountSparseOutput` results in segfault. 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.

No CVSS v4.0

Attack Vector Local

Attack Complexity High

Privileges Required Low

Scope Unchanged

Confidentiality Impact None

Integrity Impact None

Availability Impact Low

User Interaction None

No CVSS v3.0

Access Vector Local

Access Complexity Low

Authentication None

Confidentiality Impact None

Integrity Impact None

Availability Impact Partial

This CVE is not in the KEV list.

Key SSVC decision points have not yet been added.

Vendors	Products
Google	Tensorflow

Configuration 1 [-]

OR	cpe:2.3:a:google:tensorflow::::::::
	cpe:2.3:a:google:tensorflow::::::::
	cpe:2.3:a:google:tensorflow::::::::
	cpe:2.3:a:google:tensorflow::::::::

No data.

References

Link	Providers
https://github.com/tensorflow/tensorflow/commit/82e6203221865de4008445b13c69b6826d2b28d9
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wvjw-p9f5-vq28

History

No history.

MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2021-05-14T19:25:13

Updated: 2024-08-03T22:11:06.083Z

Reserved: 2021-03-30T00:00:00

Link: CVE-2021-29619

Vulnrichment

No data.

NVD

Status : Modified

Published: 2021-05-14T20:15:16.357

Modified: 2024-11-21T06:01:30.480

Link: CVE-2021-29619

Redhat

No data.

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