CVE-2021-41225: Tensorflow A Use Of Uninitialized Value Vulnerability

Q: What is CVE-2021-41225?

CVE-2021-41225 is a security vulnerability in Tensorflow involving A use of uninitialized value vulnerability in Tensorflow under CWE-908: Use of Uninitialized Resource.

Q: Which Tensorflow versions are affected?

Affected versions include releases prior to 2.6.1, 2.5.2, 2.4.4 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

Q: What version fixes CVE-2021-41225?

Upgrading to 2.6.1, 2.5.2, 2.4.4 (or the latest patched release for your respective branch) resolves the vulnerability.

Q: Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.6.1, 2.5.2, 2.4.4. Upgrade your dependency to 2.6.1, 2.5.2, 2.4.4 or later.

Q: Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.6.1, 2.5.2, 2.4.4. Upgrade your dependency to 2.6.1, 2.5.2, 2.4.4 or later.

Q: What is the CVSS score of CVE-2021-41225?

CVE-2021-41225 has a CVSS v3.1 base score of 5.5 (MODERATE) with vector string CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.

Q: What CWE is associated with CVE-2021-41225?

CVE-2021-41225 is classified under CWE-908: Use of Uninitialized Resource (The product uses or accesses a resource that has not been initialized.).

Q: How can I check PyPI dependencies for CVE-2021-41225?

Run the dependency tree command: 'pip show tensorflow'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.

MODERATE

Advisory Identifier: GHSA-7r94-xv9v-63jw

CVSS 5.5

CWE-908

Published 2021-11-10

Advisory Summary

CVE-2021-41225 is a MODERATE (CVSS 5.5) a use of uninitialized value vulnerability (CWE-908: Use of Uninitialized Resource) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves a use of uninitialized value vulnerability in tensorflow. Remediation is available by upgrading affected packages to version 2.6.1, 2.5.2, 2.4.4.

CVE-2021-41225 at a Glance

CVE Identifier CVE-2021-41225

GHSA Identifier GHSA-7r94-xv9v-63jw

Severity MODERATE

CVSS v3.1 Base Score 5.5

CWE Classification CWE-908: Use of Uninitialized Resource

Affected Product Tensorflow

Package Ecosystem PyPI

Published Date 2021-11-10

Last Updated 2024-11-13

Security Impact

CVSS: 5.5

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).

Attack Vector Local (AV:L)

Attack Complexity Low (AC:L)

Privileges Required Low (PR:L)

User Interaction None (UI:N)

Scope Unchanged (S:U)

Confidentiality None (C:N)

Integrity None (I:N)

Availability High (A:H)

How to Fix CVE-2021-41225

To remediate this vulnerability, upgrade all affected Tensorflow dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

tensorflow fixed: 2.6.1

pip install tensorflow>=2.6.1

tensorflow fixed: 2.5.2

pip install tensorflow>=2.5.2

tensorflow fixed: 2.4.4

pip install tensorflow>=2.4.4

tensorflow-cpu fixed: 2.6.1

pip install tensorflow-cpu>=2.6.1

tensorflow-cpu fixed: 2.5.2

pip install tensorflow-cpu>=2.5.2

tensorflow-cpu fixed: 2.4.4

pip install tensorflow-cpu>=2.4.4

tensorflow-gpu fixed: 2.6.1

pip install tensorflow-gpu>=2.6.1

tensorflow-gpu fixed: 2.5.2

pip install tensorflow-gpu>=2.5.2

tensorflow-gpu fixed: 2.4.4

pip install tensorflow-gpu>=2.4.4

Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release:

pip show tensorflow

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2021-41225, inspect your installed packages using pip:

pip show tensorflow

Analyze the terminal output to locate any version of Tensorflow in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 2.6.1), your application is affected.

Note: The pip show tensorflow command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-908: Use of Uninitialized Resource, where the product uses or accesses a resource that has not been initialized. In Tensorflow, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

### 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.

CVE-2021-41225 Affected Tensorflow Versions

9 component(s)

Fixed Versions:

2.6.12.5.22.4.4

Product / Package	Ecosystem	Affected Versions	Fixed Version
tensorflow pypi/tensorflow	PyPI	≥ 2.6.0 < 2.6.1	2.6.1
tensorflow pypi/tensorflow	PyPI	≥ 2.5.0 < 2.5.2	2.5.2
tensorflow pypi/tensorflow	PyPI	< 2.4.4	2.4.4
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.6.0 < 2.6.1	2.6.1
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.5.0 < 2.5.2	2.5.2
tensorflow-cpu pypi/tensorflow-cpu	PyPI	< 2.4.4	2.4.4
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.6.0 < 2.6.1	2.6.1
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.5.0 < 2.5.2	2.5.2
tensorflow-gpu pypi/tensorflow-gpu	PyPI	< 2.4.4	2.4.4

References

GitHub Advisory / Wiki ADVISORY

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw

NVD — CVE-2021-41225 NVD

https://nvd.nist.gov/vuln/detail/CVE-2021-41225

Security Fix Commit FIX COMMIT

https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3

Tensorflow Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-634.yaml

Tensorflow Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-832.yaml

Tensorflow Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-417.yaml

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow

Frequently Asked Questions

What is CVE-2021-41225?

CVE-2021-41225 is a security vulnerability in Tensorflow involving A use of uninitialized value vulnerability in Tensorflow under CWE-908: Use of Uninitialized Resource.

Which Tensorflow versions are affected?

Affected versions include releases prior to 2.6.1, 2.5.2, 2.4.4 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

What version fixes CVE-2021-41225?

Upgrading to 2.6.1, 2.5.2, 2.4.4 (or the latest patched release for your respective branch) resolves the vulnerability.

Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.6.1, 2.5.2, 2.4.4. Upgrade your dependency to 2.6.1, 2.5.2, 2.4.4 or later.

Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.6.1, 2.5.2, 2.4.4. Upgrade your dependency to 2.6.1, 2.5.2, 2.4.4 or later.

What is the CVSS score of CVE-2021-41225?

CVE-2021-41225 has a CVSS v3.1 base score of 5.5 (MODERATE) with vector string CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.

What CWE is associated with CVE-2021-41225?

CVE-2021-41225 is classified under CWE-908: Use of Uninitialized Resource (The product uses or accesses a resource that has not been initialized.).

How can I check PyPI dependencies for CVE-2021-41225?

Run the dependency tree command: 'pip show tensorflow'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.

Machine-readable OSV JSON OSV v1.5 Schema

Normalized schema output

View Raw JSON

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CVSS V3

5.5 MODERATE

Attack Vector Local (AV:L)

Attack Complexity Low (AC:L)

Privileges Required Low (PR:L)

User Interaction None (UI:N)

Scope Unchanged (S:U)

Confidentiality None (C:N)

Integrity None (I:N)

Availability High (A:H)

Vector String

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

Advisory Metadata

Source ID: GHSA-7r94-xv9v-63jw
Schema Version: 1.4.0
Published: 2021-11-10 18:44
Last Modified: 2024-11-13 22:05
Database Record File: advisories/github-reviewed/2021/11/GHSA-7r94-xv9v-63jw/GHSA-7r94-xv9v-63jw.json