CVE-2022-21737: Tensorflow Denial of Service Vulnerability

Q: What is CVE-2022-21737?

CVE-2022-21737 is a security vulnerability in Tensorflow involving Assertion failure based denial of service in Tensorflow under CWE-617: Reachable Assertion.

Q: Which Tensorflow versions are affected?

Affected versions include releases prior to 2.5.3, 2.6.3, 2.7.1 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

Q: What version fixes CVE-2022-21737?

Upgrading to 2.5.3, 2.6.3, 2.7.1 (or the latest patched release for your respective branch) resolves the vulnerability.

Q: Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.5.3, 2.6.3, 2.7.1. Upgrade your dependency to 2.5.3, 2.6.3, 2.7.1 or later.

Q: Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.5.3, 2.6.3, 2.7.1. Upgrade your dependency to 2.5.3, 2.6.3, 2.7.1 or later.

Q: What is the CVSS score of CVE-2022-21737?

CVE-2022-21737 has a CVSS v3.1 base score of 6.5 (HIGH) with vector string CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.

Q: What CWE is associated with CVE-2022-21737?

CVE-2022-21737 is classified under CWE-617: Reachable Assertion (The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.).

Q: How can I check PyPI dependencies for CVE-2022-21737?

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.

HIGH

Advisory Identifier: GHSA-f2vv-v9cg-qhh7

CVSS 6.5

CWE-617 CWE-754

Published 2022-02-09

Advisory Summary

CVE-2022-21737 is a HIGH (CVSS 6.5) denial of service vulnerability (CWE-617: Reachable Assertion) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves assertion failure based denial of service in tensorflow. Remediation is available by upgrading affected packages to version 2.5.3, 2.6.3, 2.7.1.

CVE-2022-21737 at a Glance

CVE Identifier CVE-2022-21737

GHSA Identifier GHSA-f2vv-v9cg-qhh7

Severity HIGH

CVSS v3.1 Base Score 6.5

CWE Classification CWE-617: Reachable Assertion

Affected Product Tensorflow

Package Ecosystem PyPI

Published Date 2022-02-09

Last Updated 2024-11-13

Security Impact

CVSS: 6.5

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

Attack Vector Network (AV:N)

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-2022-21737

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: 2.5.3

pip install tensorflow>=2.5.3

tensorflow fixed: 2.6.3

pip install tensorflow>=2.6.3

tensorflow fixed: 2.7.1

pip install tensorflow>=2.7.1

tensorflow-cpu fixed: 2.5.3

pip install tensorflow-cpu>=2.5.3

tensorflow-cpu fixed: 2.6.3

pip install tensorflow-cpu>=2.6.3

tensorflow-cpu fixed: 2.7.1

pip install tensorflow-cpu>=2.7.1

tensorflow-gpu fixed: 2.5.3

pip install tensorflow-gpu>=2.5.3

tensorflow-gpu fixed: 2.6.3

pip install tensorflow-gpu>=2.6.3

tensorflow-gpu fixed: 2.7.1

pip install tensorflow-gpu>=2.7.1

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-2022-21737, 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 2.5.3), 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-617: Reachable Assertion, where the product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary. 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 The [implementation of `*Bincount` operations](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc) allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail: ```python import tensorflow as tf tf.raw_ops.DenseBincount( input=[[0], [1], [2]], size=[1], weights=[3,2,1], binary_output=False) ``` There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. ### Patches We have patched the issue in GitHub commit [7019ce4f68925fd01cdafde26f8d8c938f47e6f9](https://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9). 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 Faysal Hossain Shezan from University of Virginia.

CVE-2022-21737 Affected Tensorflow Versions

9 component(s)

Fixed Versions:

2.5.32.6.32.7.1

Product / Package	Ecosystem	Affected Versions	Fixed Version
tensorflow pypi/tensorflow	PyPI	< 2.5.3	2.5.3
tensorflow pypi/tensorflow	PyPI	≥ 2.6.0 < 2.6.3	2.6.3
tensorflow pypi/tensorflow	PyPI	≥ 2.7.0 < 2.7.1 All 1 versions 2.7.0	2.7.1
tensorflow-cpu pypi/tensorflow-cpu	PyPI	< 2.5.3	2.5.3
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.6.0 < 2.6.3	2.6.3
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.7.0 < 2.7.1 All 1 versions 2.7.0	2.7.1
tensorflow-gpu pypi/tensorflow-gpu	PyPI	< 2.5.3	2.5.3
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.6.0 < 2.6.3	2.6.3
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.7.0 < 2.7.1 All 1 versions 2.7.0	2.7.1

References

GitHub Advisory / Wiki ADVISORY

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7

NVD — CVE-2022-21737 NVD

https://nvd.nist.gov/vuln/detail/CVE-2022-21737

Security Fix Commit FIX COMMIT

https://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9

Tensorflow Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-61.yaml

Tensorflow Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-116.yaml

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc

Frequently Asked Questions

What is CVE-2022-21737?

CVE-2022-21737 is a security vulnerability in Tensorflow involving Assertion failure based denial of service in Tensorflow under CWE-617: Reachable Assertion.

Which Tensorflow versions are affected?

Affected versions include releases prior to 2.5.3, 2.6.3, 2.7.1 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

What version fixes CVE-2022-21737?

Upgrading to 2.5.3, 2.6.3, 2.7.1 (or the latest patched release for your respective branch) resolves the vulnerability.

Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.5.3, 2.6.3, 2.7.1. Upgrade your dependency to 2.5.3, 2.6.3, 2.7.1 or later.

Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.5.3, 2.6.3, 2.7.1. Upgrade your dependency to 2.5.3, 2.6.3, 2.7.1 or later.

What is the CVSS score of CVE-2022-21737?

CVE-2022-21737 has a CVSS v3.1 base score of 6.5 (HIGH) with vector string CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.

What CWE is associated with CVE-2022-21737?

CVE-2022-21737 is classified under CWE-617: Reachable Assertion (The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.).

How can I check PyPI dependencies for CVE-2022-21737?

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

6.5 HIGH

Attack Vector Network (AV:N)

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

Advisory Metadata

Source ID: GHSA-f2vv-v9cg-qhh7
Schema Version: 1.4.0
Published: 2022-02-09 23:43
Last Modified: 2024-11-13 22:32
Database Record File: advisories/github-reviewed/2022/02/GHSA-f2vv-v9cg-qhh7/GHSA-f2vv-v9cg-qhh7.json