CVE-2022-35993 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.7.2 || >=2.8.0 <2.8.1 || >=2.9.0 <2.9.1

Severity

Level: Medium

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

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

EPSS: 0.00202 pctl0.425

Details

TensorFlow vulnerable to `CHECK` fail in `SetSize` ### Impact When `SetSize` receives an input `set_shape` that is not a 1D tensor, it gives a `CHECK` fails that can be used to trigger a denial of service attack. ```python import tensorflow as tf arg_0=1 arg_1=[1,1] arg_2=1 arg_3=True arg_4='' tf.raw_ops.SetSize(set_indices=arg_0, set_values=arg_1, set_shape=arg_2, validate_indices=arg_3, name=arg_4) ``` ### Patches We have patched the issue in GitHub commit [cf70b79d2662c0d3c6af74583641e345fc939467](https://github.com/tensorflow/tensorflow/commit/cf70b79d2662c0d3c6af74583641e345fc939467). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.

Metadata

Created: 2022-09-16T22:14:09Z
Modified: 2022-09-19T19:52:54Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/09/GHSA-wq6q-6m32-9rv9/GHSA-wq6q-6m32-9rv9.json
CWE IDs: ["CWE-617"]
Alternative ID: GHSA-wq6q-6m32-9rv9
Finding: F138
Auto approve: 1