TensorFlowGHSA-5wpj-c6f7-24x8

Undefined behavior when users supply invalid resource handles

TensorFlow

CVE-2022-29207 · Published May 24, 2022 · updated Jul 13, 2026

Medium5.5

Fix: upgrade to 2.6.4 or later (3 fixed versions below)

GitHub advisory

Impact

Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid:

```python

import tensorflow as tf

tf.raw_ops.QueueIsClosedV2(handle=[])

```python

import tensorflow as tf

tf.summary.flush(writer=())

In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior.

Patches

We have patched the issue in GitHub commit [a5b89cd68c02329d793356bda85d079e9e69b4e7](https://github.com/tensorflow/tensorflow/commit/a5b89cd68c02329d793356bda85d079e9e69b4e7) and GitHub commit [dbdd98c37bc25249e8f288bd30d01e118a7b4498](https://github.com/tensorflow/tensorflow/commit/dbdd98c37bc25249e8f288bd30d01e118a7b4498).

The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Hong Jin from...

Affected versions

Package	Affected	Fixed in
tensorflow PyPI	< 2.6.4	2.6.4
	>= 2.7.0, < 2.7.2	2.7.2
	>= 2.8.0, < 2.8.1	2.8.1

Details and references

### Impact Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid: ```python import tensorflow as tf tf.raw_ops.QueueIsClosedV2(handle=[]) ``` ```python import tensorflow as tf tf.summary.flush(writer=()) ``` In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. ### Patches We have patched the issue in GitHub commit [a5b89cd68c02329d793356bda85d079e9e69b4e7](https://github.com/tensorflow/tensorflow/commit/a5b89cd68c02329d793356bda85d079e9e69b4e7) and GitHub commit [dbdd98c37bc25249e8f288bd30d01e118a7b4498](https://github.com/tensorflow/tensorflow/commit/dbdd98c37bc25249e8f288bd30d01e118a7b4498). The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Hong Jin from Singapore Management University.

CVSS 3.1: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Severity from: GitHub (reviewed advisory)
Weakness: CWE-20, CWE-475
Also known as: BIT-tensorflow-2022-29207, CVE-2022-29207, PYSEC-2026-3112, PYSEC-2026-3280, PYSEC-2026-955

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