CVE-2022-23574 – 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: 0.00296 pctl0.52443

Details

Out of bounds read and write in Tensorflow ### Impact There is a typo in TensorFlow's [`SpecializeType`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102) which results in heap OOB read/write: ```cc for (int i = 0; i < op_def.output_arg_size(); i++) { // ... for (int j = 0; j < t->args_size(); j++) { auto* arg = t->mutable_args(i); // ... } } ``` Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. ### Patches We have patched the issue in GitHub commit [0657c83d08845cc434175934c642299de2c0f042](https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, 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.

Metadata

Created: 2022-02-09T23:25:40Z
Modified: 2024-11-13T22:47:49Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/02/GHSA-77gp-3h4r-6428/GHSA-77gp-3h4r-6428.json
CWE IDs: ["CWE-125", "CWE-787"]
Alternative ID: GHSA-77gp-3h4r-6428
Finding: F111
Auto approve: 1