CVE-2023-25667 - Vulnerability Details - OpenCVE

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

No CVSS v4.0

Attack Vector Network

Attack Complexity Low

Privileges Required None

Scope Unchanged

Confidentiality Impact None

Integrity Impact None

Availability Impact High

User Interaction Required

No CVSS v3.0

No CVSS v2

This CVE is not in the KEV list.

Exploitation none

Automatable no

Technical Impact partial

Vendors	Products
Google	Tensorflow

Configuration 1 [-]

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

No data.

References

Link	Providers
https://github.com/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqm2-gh8w-gr68

History

Wed, 19 Feb 2025 21:15:00 +0000

Type	Values Removed	Values Added
Metrics		ssvc `{'options': {'Automatable': 'no', 'Exploitation': 'none', 'Technical Impact': 'partial'}, 'version': '2.0.3'}`

MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2023-03-24T23:40:20.893Z

Updated: 2025-02-19T20:39:52.657Z

Reserved: 2023-02-09T20:58:21.858Z

Link: CVE-2023-25667

Vulnrichment

Updated: 2024-08-02T11:25:19.265Z

NVD

Status : Modified

Published: 2023-03-25T00:15:07.537

Modified: 2024-11-21T07:49:54.343

Link: CVE-2023-25667

Redhat

No data.

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