CVE-2020-26270 - Vulnerability Details - OpenCVE

In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

No CVSS v4.0

Attack Vector Local

Attack Complexity Low

Privileges Required Low

Scope Unchanged

Confidentiality Impact None

Integrity Impact Low

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

No data.

References

Link	Providers
https://github.com/tensorflow/tensorflow/commit/14755416e364f17fb1870882fa778c7fec7f16e3
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m648-33qf-v3gp

History

No history.

MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2020-12-10T22:10:23

Updated: 2024-08-04T15:56:03.807Z

Reserved: 2020-10-01T00:00:00

Link: CVE-2020-26270

Vulnrichment

No data.

NVD

Status : Modified

Published: 2020-12-10T23:15:12.973

Modified: 2024-11-21T05:19:42.983

Link: CVE-2020-26270

Redhat

No data.

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