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CVE-2022-21738 Moderate

Integer overflow leading to crash in Tensorflow

### Impact The [implementation of `SparseCountSparseOutput`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273) can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation: ```python import tensorflow as tf import numpy as np tf.raw_ops.SparseCountSparseOutput( indices=[[1,1]], values=[2], dense_shape=[2 ** 31, 2 ** 32], weights=[1], binary_output=True, minlength=-1, maxlength=-1, name=None) ``` ### Patches We have patched the issue in GitHub commit [6f4d3e8139ec724dbbcb40505891c81dd1052c4a](https://github.com/tensorflow/tensorflow/commit/6f4d3e8139ec724dbbcb40505891c81dd1052c4a). 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.

Exploit probability 0.8%
Published July 9, 2026
Required by Not available
Last source change July 13, 2026

02 / AFFECTED SOFTWARE

Affected packages

Bitnami tensorflow
PyPI tensorflow-cpu

26 explicit affected versions

PyPI tensorflow

62 explicit affected versions

PyPI tensorflow-cpu

27 explicit affected versions

PyPI tensorflow-gpu

62 explicit affected versions

PyPI tensorflow-gpu

61 explicit affected versions

PyPI tensorflow

62 explicit affected versions

Unknown Unknown

18 explicit affected versions

03 / CONNECTIONS

Connected vulnerabilities

04 / EVIDENCE

Source records

Open Source Vulnerabilities CVE-2022-21738

Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation. 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.

View original source
Open Source Vulnerabilities BIT-tensorflow-2022-21738

Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation. 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.

View original source
Open Source Vulnerabilities PYSEC-2022-117

Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation. 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.

View original source
Open Source Vulnerabilities GHSA-x4qx-4fjv-hmw6

### Impact The [implementation of `SparseCountSparseOutput`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273) can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation: ```python import tensorflow as tf import numpy as np tf.raw_ops.SparseCountSparseOutput( indices=[[1,1]], values=[2], dense_shape=[2 ** 31, 2 ** 32], weights=[1], binary_output=True, minlength=-1, maxlength=-1, name=None) ``` ### Patches We have patched the issue in GitHub commit [6f4d3e8139ec724dbbcb40505891c81dd1052c4a](https://github.com/tensorflow/tensorflow/commit/6f4d3e8139ec724dbbcb40505891c81dd1052c4a). 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.

View original source
Open Source Vulnerabilities PYSEC-2026-3258

### Impact The [implementation of `SparseCountSparseOutput`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273) can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation: ```python import tensorflow as tf import numpy as np tf.raw_ops.SparseCountSparseOutput( indices=[[1,1]], values=[2], dense_shape=[2 ** 31, 2 ** 32], weights=[1], binary_output=True, minlength=-1, maxlength=-1, name=None) ``` ### Patches We have patched the issue in GitHub commit [6f4d3e8139ec724dbbcb40505891c81dd1052c4a](https://github.com/tensorflow/tensorflow/commit/6f4d3e8139ec724dbbcb40505891c81dd1052c4a). 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.

View original source
Open Source Vulnerabilities PYSEC-2022-62

Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation. 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.

View original source

05 / REFERENCES

Further evidence