CVE-2020-15266 - OpenCVE

In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

No CVSS v4.0

Attack Vector Network

Attack Complexity High

Privileges Required None

Scope Unchanged

Confidentiality Impact None

Integrity Impact None

Availability Impact Low

User Interaction None

No CVSS v3.0

Access Vector Network

Access Complexity Low

Authentication None

Confidentiality Impact None

Integrity Impact None

Availability Impact Partial

AV:N/AC:L/Au:N/C:N/I:N/A:P

This CVE is not in the KEV list.

Key SSVC decision points have not yet been added.

Vendors	Products
Google	Tensorflow

Configuration 1 [-]

cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*

No data.

References

Link	Providers
https://github.com/tensorflow/tensorflow/issues/42129
https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc

History

No history.

MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2020-10-21T20:30:16

Updated: 2024-08-04T13:15:18.938Z

Reserved: 2020-06-25T00:00:00

Link: CVE-2020-15266

Vulnrichment

No data.

NVD

Status : Analyzed

Published: 2020-10-21T21:15:12.350

Modified: 2021-11-18T16:25:03.657

Link: CVE-2020-15266

Redhat

No data.

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