---
id: CVE-2022-41911
aliases:
  - GHSA-pf36-r9c6-h97j
  - BIT-tensorflow-2022-41911
  - PYSEC-2026-1954
  - PYSEC-2026-939
title: Invalid char to bool conversion when printing a tensor
summary: Invalid char to bool conversion when printing a tensor
severity: medium
cvss: 4.8
cvssVector: 'CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H'
vendor: tensorflow
product: tensorflow
ecosystem: pip
affected:
  - tensorflow < 2.8.4
  - 'tensorflow-cpu >= 2.9.0, < 2.9.3'
  - 'tensorflow-gpu >= 2.10.0, < 2.10.1'
  - 'tensorflow >= 2.9.0, < 2.9.3'
  - 'tensorflow >= 2.10.0, < 2.10.1'
  - tensorflow-cpu < 2.8.4
  - tensorflow-gpu < 2.8.4
  - 'tensorflow-gpu >= 2.9.0, < 2.9.3'
  - 'tensorflow-cpu >= 2.10.0, < 2.10.1'
patched:
  - tensorflow 2.8.4
  - tensorflow-cpu 2.9.3
  - tensorflow-gpu 2.10.1
  - tensorflow 2.9.3
  - tensorflow 2.10.1
  - tensorflow-cpu 2.8.4
  - tensorflow-gpu 2.8.4
  - tensorflow-gpu 2.9.3
  - tensorflow-cpu 2.10.1
published: '2022-11-21'
updated: '2026-07-07'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-pf36-r9c6-h97j'
references:
  - url: >-
      https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pf36-r9c6-h97j
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2022-41911'
  - url: >-
      https://github.com/tensorflow/tensorflow/commit/1be743703279782a357adbf9b77dcb994fe8b508
  - url: 'https://github.com/tensorflow/tensorflow'
  - url: >-
      https://github.com/tensorflow/tensorflow/blob/807cae8a807960fd7ac2313cde73a11fc15e7942/tensorflow/core/framework/tensor.cc#L1200-L1227
tags:
  - osv
  - pip
epss: 0.00426
epssPercentile: 0.34353
ingestedAt: '2026-07-08T18:25:51.752Z'
---

## Overview

### 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.


## Affected packages

- `tensorflow < 2.8.4`
- `tensorflow-cpu >= 2.9.0, < 2.9.3`
- `tensorflow-gpu >= 2.10.0, < 2.10.1`
- `tensorflow >= 2.9.0, < 2.9.3`
- `tensorflow >= 2.10.0, < 2.10.1`
- `tensorflow-cpu < 2.8.4`
- `tensorflow-gpu < 2.8.4`
- `tensorflow-gpu >= 2.9.0, < 2.9.3`
- `tensorflow-cpu >= 2.10.0, < 2.10.1`

## Remediation

Upgrade to a patched release:

- `tensorflow 2.8.4`
- `tensorflow-cpu 2.9.3`
- `tensorflow-gpu 2.10.1`
- `tensorflow 2.9.3`
- `tensorflow 2.10.1`
- `tensorflow-cpu 2.8.4`
- `tensorflow-gpu 2.8.4`
- `tensorflow-gpu 2.9.3`
- `tensorflow-cpu 2.10.1`