id: PYSEC-2026-3241
published: "2026-07-09T16:49:40.035031Z"
modified: "2026-07-13T16:07:14.317821Z"
aliases:
- CVE-2022-23572
- GHSA-rww7-2gpw-fv6j
summary: Crash when type cannot be specialized in Tensorflow
details: "### Impact\nUnder certain scenarios, TensorFlow can fail to specialize a type during [shape inference](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L168-L174):\n\n```cc\nvoid InferenceContext::PreInputInit(\n    const OpDef& op_def, const std::vector<const Tensor*>& input_tensors,\n    const std::vector<ShapeHandle>& input_tensors_as_shapes) {\n  const auto ret = full_type::SpecializeType(attrs_, op_def);\n  DCHECK(ret.status().ok()) << \"while instantiating types: \" << ret.status();\n  ret_types_ = ret.ValueOrDie();\n  // ... \n}\n```\n\nHowever, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure.\n### Patches\nWe have patched the issue in GitHub commit [cb164786dc891ea11d3a900e90367c339305dc7b](https://github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b).\n\nThe fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, 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."
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-rww7-2gpw-fv6j
- type: ADVISORY
  url: https://nvd.nist.gov/vuln/detail/CVE-2022-23572
- type: WEB
  url: https://github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b
- type: WEB
  url: https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-81.yaml
- type: WEB
  url: https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-136.yaml
- type: WEB
  url: https://github.com/tensorflow/tensorflow
- type: WEB
  url: "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L168-L174"
- type: PACKAGE
  url: https://pypi.org/project/tensorflow
- type: ADVISORY
  url: https://github.com/advisories/GHSA-rww7-2gpw-fv6j
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