CVE-2022-23561 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.5.3 || >=2.6.0 <2.6.3 || =2.7.0 || >=2.7.0 <2.7.1

Severity

Level: High

CVSS v3.1: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

CVSS v4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

EPSS: 0.00175 pctl0.39276

Details

Out of bounds write in TFLite ### Impact An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. ### Patches We have patched the issue in GitHub commit [6c0b2b70eeee588591680f5b7d5d38175fd7cdf6](https://github.com/tensorflow/tensorflow/commit/6c0b2b70eeee588591680f5b7d5d38175fd7cdf6). 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. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Wang Xuan of Qihoo 360 AIVul Team.

Metadata

Created: 2022-02-09T23:53:47Z
Modified: 2024-11-13T22:38:17Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/02/GHSA-9c78-vcq7-7vxq/GHSA-9c78-vcq7-7vxq.json
CWE IDs: ["CWE-787"]
Alternative ID: GHSA-9c78-vcq7-7vxq
Finding: F111
Auto approve: 1