CVE-2022-41911: Tensorflow Invalid Char To Bool Conversion Vulnerability

MODERATE
Advisory Identifier: GHSA-pf36-r9c6-h97j
CVSS 4.8
CWE-704
Published
Advisory Summary

CVE-2022-41911 is a MODERATE (CVSS 4.8) invalid char to bool conversion vulnerability (CWE-704: Incorrect Type Conversion or Cast) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves invalid char to bool conversion when printing a tensor. Remediation is available by upgrading affected packages to version 2.9.3, 2.10.1, 2.8.4.

CVE-2022-41911 at a Glance

CVE Identifier CVE-2022-41911
GHSA Identifier GHSA-pf36-r9c6-h97j
Severity MODERATE
CVSS v3.1 Base Score 4.8
CWE Classification CWE-704: Incorrect Type Conversion or Cast
Affected Product Tensorflow
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 4.8

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

Attack Vector Network (AV:N)
Attack Complexity High (AC:H)
Privileges Required Low (PR:L)
User Interaction Required (UI:R)
Scope Unchanged (S:U)
Confidentiality None (C:N)
Integrity None (I:N)
Availability High (A:H)

How to Fix CVE-2022-41911

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: 2.9.3
pip install tensorflow>=2.9.3
tensorflow fixed: 2.10.1
pip install tensorflow>=2.10.1
tensorflow fixed: 2.8.4
pip install tensorflow>=2.8.4
tensorflow-cpu fixed: 2.9.3
pip install tensorflow-cpu>=2.9.3
tensorflow-gpu fixed: 2.10.1
pip install tensorflow-gpu>=2.10.1
tensorflow-cpu fixed: 2.8.4
pip install tensorflow-cpu>=2.8.4
tensorflow-gpu fixed: 2.8.4
pip install tensorflow-gpu>=2.8.4
tensorflow-gpu fixed: 2.9.3
pip install tensorflow-gpu>=2.9.3
tensorflow-cpu fixed: 2.10.1
pip install tensorflow-cpu>=2.10.1
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-2022-41911, 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 2.9.3), 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-704: Incorrect Type Conversion or Cast, where the product does not correctly convert an object, resource, or structure from one type to a different type. 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 When [printing a tensor](https://github.com/tensorflow/tensorflow/blob/807cae8a807960fd7ac2313cde73a11fc15e7942/tensorflow/core/framework/tensor.cc#L1200-L1227), we get it's data as a `const char*` array (since that's the underlying storage) and then we typecast it to the element type. However, conversions from `char` to `bool` are undefined if the `char` is not `0` or `1`, so sanitizers/fuzzers will crash. ### Patches We have patched the issue in GitHub commit [1be743703279782a357adbf9b77dcb994fe8b508](https://github.com/tensorflow/tensorflow/commit/1be743703279782a357adbf9b77dcb994fe8b508). The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1, TensorFlow 2.9.3, and TensorFlow 2.8.4, 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 was discovered via internal fuzzing.

CVE-2022-41911 Affected Tensorflow Versions

9 component(s)
Fixed Versions:
2.9.32.10.12.8.4
Product / Package Ecosystem Affected Versions Fixed Version
tensorflow
PyPI
≥ 2.9.0
< 2.9.3
2.9.3
tensorflow
PyPI
≥ 2.10.0
< 2.10.1
2.10.1
tensorflow
PyPI
< 2.8.4
2.8.4
tensorflow-cpu
PyPI
≥ 2.9.0
< 2.9.3
2.9.3
tensorflow-gpu
PyPI
≥ 2.10.0
< 2.10.1
2.10.1
tensorflow-cpu
PyPI
< 2.8.4
2.8.4
tensorflow-gpu
PyPI
< 2.8.4
2.8.4
tensorflow-gpu
PyPI
≥ 2.9.0
< 2.9.3
2.9.3
tensorflow-cpu
PyPI
≥ 2.10.0
< 2.10.1
2.10.1

References

Frequently Asked Questions

What is CVE-2022-41911?
CVE-2022-41911 is a security vulnerability in Tensorflow involving Invalid char to bool conversion when printing a tensor under CWE-704: Incorrect Type Conversion or Cast.
Which Tensorflow versions are affected?
Affected versions include releases prior to 2.9.3, 2.10.1, 2.8.4 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.
What version fixes CVE-2022-41911?
Upgrading to 2.9.3, 2.10.1, 2.8.4 (or the latest patched release for your respective branch) resolves the vulnerability.
Is tensorflow affected?
Yes, tensorflow is affected in releases prior to 2.9.3, 2.10.1, 2.8.4. Upgrade your dependency to 2.9.3, 2.10.1, 2.8.4 or later.
Is tensorflow-cpu affected?
Yes, tensorflow-cpu is affected in releases prior to 2.9.3, 2.8.4, 2.10.1. Upgrade your dependency to 2.9.3, 2.8.4, 2.10.1 or later.
What is the CVSS score of CVE-2022-41911?
CVE-2022-41911 has a CVSS v3.1 base score of 4.8 (MODERATE) with vector string CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H.
What CWE is associated with CVE-2022-41911?
CVE-2022-41911 is classified under CWE-704: Incorrect Type Conversion or Cast (The product does not correctly convert an object, resource, or structure from one type to a different type.).
How can I check PyPI dependencies for CVE-2022-41911?
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
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