{"id":"CVE-2022-23572","aliases":["GHSA-rww7-2gpw-fv6j","BIT-tensorflow-2022-23572","PYSEC-2022-136","PYSEC-2022-81","PYSEC-2026-3241"],"title":"Crash when type cannot be specialized in Tensorflow","summary":"Crash when type cannot be specialized in Tensorflow","severity":"medium","cvss":6.5,"cvssVector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow < 2.5.3","tensorflow >= 2.6.0, < 2.6.3","tensorflow >= 2.7.0, < 2.7.1","tensorflow-cpu < 2.5.3","tensorflow-cpu >= 2.6.0, < 2.6.3","tensorflow-cpu >= 2.7.0, < 2.7.1","tensorflow-gpu < 2.5.3","tensorflow-gpu >= 2.6.0, < 2.6.3","tensorflow-gpu >= 2.7.0, < 2.7.1"],"patched":["tensorflow 2.5.3","tensorflow 2.6.3","tensorflow 2.7.1","tensorflow-cpu 2.5.3","tensorflow-cpu 2.6.3","tensorflow-cpu 2.7.1","tensorflow-gpu 2.5.3","tensorflow-gpu 2.6.3","tensorflow-gpu 2.7.1"],"published":"2022-02-09","updated":"2026-07-13","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-rww7-2gpw-fv6j","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rww7-2gpw-fv6j"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2022-23572"},{"url":"https://github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-81.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-136.yaml"},{"url":"https://github.com/tensorflow/tensorflow"},{"url":"https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L168-L174"}],"tags":["osv","pip"],"epss":0.01,"epssPercentile":0.61216,"ingestedAt":"2026-07-13T18:58:03.027Z","slug":"CVE-2022-23572","body":"## Overview\n\n### 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.\n\n## Affected packages\n\n- `tensorflow < 2.5.3`\n- `tensorflow >= 2.6.0, < 2.6.3`\n- `tensorflow >= 2.7.0, < 2.7.1`\n- `tensorflow-cpu < 2.5.3`\n- `tensorflow-cpu >= 2.6.0, < 2.6.3`\n- `tensorflow-cpu >= 2.7.0, < 2.7.1`\n- `tensorflow-gpu < 2.5.3`\n- `tensorflow-gpu >= 2.6.0, < 2.6.3`\n- `tensorflow-gpu >= 2.7.0, < 2.7.1`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `tensorflow 2.5.3`\n- `tensorflow 2.6.3`\n- `tensorflow 2.7.1`\n- `tensorflow-cpu 2.5.3`\n- `tensorflow-cpu 2.6.3`\n- `tensorflow-cpu 2.7.1`\n- `tensorflow-gpu 2.5.3`\n- `tensorflow-gpu 2.6.3`\n- `tensorflow-gpu 2.7.1`","depth":"sunlit","depthScore":36,"depthScoreParts":{"impact":35.8,"likelihood":0.2,"exploitation":0,"ransomware":0},"changes":[]}