---
id: CVE-2022-41880
aliases:
  - GHSA-8w5g-3wcv-9g2j
  - BIT-tensorflow-2022-41880
  - PYSEC-2026-971
title: Tensorflow vulnerable to Out-of-Bounds Read
summary: Tensorflow vulnerable to Out-of-Bounds Read
severity: medium
cvss: 6.8
cvssVector: 'CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H'
vendor: tensorflow
product: tensorflow
ecosystem: pip
affected:
  - 'tensorflow >= 2.10.0, < 2.10.1'
  - 'tensorflow-cpu >= 2.10.0, < 2.10.1'
  - 'tensorflow-gpu >= 2.10.0, < 2.10.1'
  - tensorflow < 2.8.4
  - tensorflow-cpu < 2.8.4
  - tensorflow-gpu < 2.8.4
  - 'tensorflow >= 2.9.0, < 2.9.3'
  - 'tensorflow-cpu >= 2.9.0, < 2.9.3'
  - 'tensorflow-gpu >= 2.9.0, < 2.9.3'
patched:
  - tensorflow 2.10.1
  - tensorflow-cpu 2.10.1
  - tensorflow-gpu 2.10.1
  - tensorflow 2.8.4
  - tensorflow-cpu 2.8.4
  - tensorflow-gpu 2.8.4
  - tensorflow 2.9.3
  - tensorflow-cpu 2.9.3
  - tensorflow-gpu 2.9.3
published: '2022-11-22'
updated: '2026-07-07'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-8w5g-3wcv-9g2j'
references:
  - url: >-
      https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8w5g-3wcv-9g2j
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2022-41880'
  - url: >-
      https://github.com/tensorflow/tensorflow/commit/b389f5c944cadfdfe599b3f1e4026e036f30d2d4
  - url: 'https://github.com/tensorflow/tensorflow'
  - url: >-
      https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/candidate_sampler_ops.cc
tags:
  - osv
  - pip
epss: 0.0041
epssPercentile: 0.34957
ingestedAt: '2026-07-08T18:25:47.561Z'
---

## Overview

### Impact
When the [`BaseCandidateSamplerOp`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/candidate_sampler_ops.cc) function  receives a value in `true_classes` larger than `range_max`, a heap oob vuln occurs.
```python
tf.raw_ops.ThreadUnsafeUnigramCandidateSampler(
    true_classes=[[0x100000,1]],
    num_true = 2,
    num_sampled = 2,
    unique = False,
    range_max = 2,
    seed = 2,
    seed2 = 2)
```

### Patches
We have patched the issue in GitHub commit [b389f5c944cadfdfe599b3f1e4026e036f30d2d4](https://github.com/tensorflow/tensorflow/commit/b389f5c944cadfdfe599b3f1e4026e036f30d2d4).

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 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 has been reported by Yu Tian of Qihoo 360 AIVul Team.


## Affected packages

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

## Remediation

Upgrade to a patched release:

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