CVE-2021-41225 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=2.6.0 <2.6.1 || >=2.5.0 <2.5.2 || >=0 <2.4.4

Severity

Level: Medium

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

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

EPSS: 0.00018 pctl0.03162

Details

A use of uninitialized value vulnerability in Tensorflow ### Impact TensorFlow's Grappler optimizer has a [use of unitialized variable](https://github.com/tensorflow/tensorflow/blob/3457a2b122e50b4d44ceaaed5a663d635e5c22df/tensorflow/core/grappler/optimizers/auto_parallel.cc#L155-L164): ```cc const NodeDef* dequeue_node; for (const auto& train_node : train_nodes) { if (IsDequeueOp(*train_node)) { dequeue_node = train_node; break; } } if (dequeue_node) { ... } ``` If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. ### Patches We have patched the issue in GitHub commit [68867bf01239d9e1048f98cbad185bf4761bedd3](https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 Qian Feng from Baidu Security Team.

Metadata

Created: 2021-11-10T18:44:11Z
Modified: 2024-11-13T22:05:06Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/11/GHSA-7r94-xv9v-63jw/GHSA-7r94-xv9v-63jw.json
CWE IDs: ["CWE-908"]
Alternative ID: GHSA-7r94-xv9v-63jw
Finding: F138
Auto approve: 1