TensorFlowGHSA-h5g4-ppwx-48q2

Missing validation causes denial of service via `DeleteSessionTensor`

CVE-2022-29194 · Published May 24, 2022 · updated Jul 13, 2026

Medium5.5

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

Impact

The implementation of [tf.raw_ops.DeleteSessionTensor](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/session_ops.cc#L128-L144) does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:

```python

import tensorflow as tf

handle = tf.constant("[]", shape=[0], dtype=tf.string)

tf.raw_ops.DeleteSessionTensor(handle=handle)

The code assumes handle is a scalar but there is no validation for this:

```cc

const Tensor& handle = ctx->input(0);

const string& name = handle.scalar<tstring>()();

Patches

We have patched the issue in GitHub commit [cff267650c6a1b266e4b4500f69fbc49cdd773c5](https://github.com/tensorflow/tensorflow/commit/cff267650c6a1b266e4b4500f69fbc49cdd773c5).

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 Neophytos Christou from Secure Systems Lab at Brown...

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 The implementation of [`tf.raw_ops.DeleteSessionTensor`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/session_ops.cc#L128-L144) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack: ```python import tensorflow as tf handle = tf.constant("[]", shape=[0], dtype=tf.string) tf.raw_ops.DeleteSessionTensor(handle=handle) ``` The code assumes `handle` is a scalar but there is no validation for this: ```cc const Tensor& handle = ctx->input(0); const string& name = handle.scalar<tstring>()(); ``` ### Patches We have patched the issue in GitHub commit [cff267650c6a1b266e4b4500f69fbc49cdd773c5](https://github.com/tensorflow/tensorflow/commit/cff267650c6a1b266e4b4500f69fbc49cdd773c5). 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 Neophytos Christou from Secure Systems Lab at Brown 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
Also known as: BIT-tensorflow-2022-29194, CVE-2022-29194, PYSEC-2026-1004, PYSEC-2026-3197, PYSEC-2026-3336

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