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Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

TensorFlowGHSA-6445-fm66-fvq2

Integer overflows in Tensorflow

TensorFlow

CVE-2022-23568 · Published Feb 9, 2022 · updated Sep 10, 2026

High6.5
Fix: upgrade to 2.5.3 or later (3 fixed versions below)
GitHub advisory

Impact

The [implementation of AddManySparseToTensorsMap](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc) is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects (so, an assert failure based denial of service):

```python

import tensorflow as tf

import numpy as np

tf.raw_ops.AddManySparseToTensorsMap(

sparse_indices=[(0,0),(0,1),(0,2),(4,3),(5,0),(5,1)],

sparse_values=[1,1,1,1,1,1],

sparse_shape=[232,232],

container='',

shared_name='',

name=None)

`

We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. The latter is an instance of [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md) (CVE-2021-41197) and is easily fixed by replacing a call to TensorShape constructor with a call to BuildTensorShape static helper factory.

Patches

We have patched the issue in GitHub commits [b51b82fe65ebace4475e3c54eb089c18a4403f1c](https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c) and [a68f68061e263a88321c104a6c911fe5598050a8](https://github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8)....

Affected versions

PackageAffectedFixed in
tensorflow
PyPI
< 2.5.32.5.3
>= 2.6.0, < 2.6.32.6.3
>= 2.7.0, < 2.7.12.7.1
Details and references

### Impact The [implementation of `AddManySparseToTensorsMap`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc) is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service): ```python import tensorflow as tf import numpy as np tf.raw_ops.AddManySparseToTensorsMap( sparse_indices=[(0,0),(0,1),(0,2),(4,3),(5,0),(5,1)], sparse_values=[1,1,1,1,1,1], sparse_shape=[2**32,2**32], container='', shared_name='', name=None) ``` We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The latter is an instance of [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md) (CVE-2021-41197) and is easily fixed by replacing a call to `TensorShape` constructor with a call to `BuildTensorShape` static helper factory. ### Patches We have patched the issue in GitHub commits [b51b82fe65ebace4475e3c54eb089c18a4403f1c](https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c) and [a68f68061e263a88321c104a6c911fe5598050a8](https://github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Faysal Hossain Shezan from University of Virginia.

CVSS 3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-190
Also known as
BIT-tensorflow-2022-23568, CVE-2022-23568, PYSEC-2022-132, PYSEC-2022-77, PYSEC-2026-3114

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