---
id: CVE-2022-23592
aliases:
  - GHSA-vq36-27g6-p492
  - BIT-tensorflow-2022-23592
  - PYSEC-2022-101
  - PYSEC-2022-156
  - PYSEC-2026-3249
title: Out of bounds read in Tensorflow
summary: Out of bounds read in Tensorflow
severity: high
cvss: 8.1
cvssVector: 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H'
vendor: tensorflow
product: tensorflow
ecosystem: pip
affected:
  - 'tensorflow >= 2.8.0-rc0, < 2.8.0'
  - 'tensorflow-cpu >= 2.8.0-rc0, < 2.8.0'
  - 'tensorflow-gpu >= 2.8.0-rc0, < 2.8.0'
patched:
  - tensorflow 2.8.0
  - tensorflow-cpu 2.8.0
  - tensorflow-gpu 2.8.0
published: '2022-02-09'
updated: '2026-07-13'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-vq36-27g6-p492'
references:
  - url: >-
      https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vq36-27g6-p492
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2022-23592'
  - url: >-
      https://github.com/tensorflow/tensorflow/commit/c99d98cd189839dcf51aee94e7437b54b31f8abd
  - url: >-
      https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-101.yaml
  - url: >-
      https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-156.yaml
  - url: 'https://github.com/tensorflow/tensorflow'
  - url: >-
      https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L223-L229
tags:
  - osv
  - pip
epss: 0.00865
epssPercentile: 0.56922
ingestedAt: '2026-07-13T18:58:03.756Z'
---

## Overview

### Impact
TensorFlow's [type inference](https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L223-L229) can cause a heap OOB read as the bounds checking is done in a `DCHECK` (which is a no-op during production):

```cc
if (node_t.type_id() != TFT_UNSET) {
  int ix = input_idx[i];
  DCHECK(ix < node_t.args_size())
      << "input " << i << " should have an output " << ix
      << " but instead only has " << node_t.args_size()
      << " outputs: " << node_t.DebugString();
  input_types.emplace_back(node_t.args(ix));
  // ...
}       
```   
      
An attacker can control `input_idx` such that `ix` would be larger than the number of values in `node_t.args`.
        
### Patches
We have patched the issue in GitHub commit [c99d98cd189839dcf51aee94e7437b54b31f8abd](https://github.com/tensorflow/tensorflow/commit/c99d98cd189839dcf51aee94e7437b54b31f8abd).
  
The fix will be included in TensorFlow 2.8.0. This is the only affected version.

### 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.

## Affected packages

- `tensorflow >= 2.8.0-rc0, < 2.8.0`
- `tensorflow-cpu >= 2.8.0-rc0, < 2.8.0`
- `tensorflow-gpu >= 2.8.0-rc0, < 2.8.0`

## Remediation

Upgrade to a patched release:

- `tensorflow 2.8.0`
- `tensorflow-cpu 2.8.0`
- `tensorflow-gpu 2.8.0`