{"id":"CVE-2021-37640","aliases":["GHSA-95xm-g58g-3p88","BIT-tensorflow-2021-37640","PYSEC-2021-262","PYSEC-2021-553","PYSEC-2021-751"],"title":"Integer division by 0 in sparse reshaping","summary":"Integer division by 0 in sparse reshaping","severity":"medium","cvss":5.5,"cvssVector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow < 2.3.4","tensorflow >= 2.4.0, < 2.4.3","tensorflow >= 2.5.0, < 2.5.1","tensorflow-cpu < 2.3.4","tensorflow-cpu >= 2.4.0, < 2.4.3","tensorflow-cpu >= 2.5.0, < 2.5.1","tensorflow-gpu < 2.3.4","tensorflow-gpu >= 2.4.0, < 2.4.3","tensorflow-gpu >= 2.5.0, < 2.5.1"],"patched":["tensorflow 2.3.4","tensorflow 2.4.3","tensorflow 2.5.1","tensorflow-cpu 2.3.4","tensorflow-cpu 2.4.3","tensorflow-cpu 2.5.1","tensorflow-gpu 2.3.4","tensorflow-gpu 2.4.3","tensorflow-gpu 2.5.1"],"published":"2021-08-25","updated":"2026-07-08","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-95xm-g58g-3p88","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-95xm-g58g-3p88"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2021-37640"},{"url":"https://github.com/tensorflow/tensorflow/commit/4923de56ec94fff7770df259ab7f2288a74feb41"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-553.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-751.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-262.yaml"},{"url":"https://github.com/tensorflow/tensorflow"}],"tags":["osv","pip"],"epss":0.00152,"epssPercentile":0.04762,"ingestedAt":"2026-07-08T18:25:47.761Z","slug":"CVE-2021-37640","body":"## Overview\n\n### Impact\nThe implementation of `tf.raw_ops.SparseReshape` can be made to trigger an integral division by 0 exception:\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.SparseReshape(\n  input_indices = np.ones((1,3)),\n  input_shape = np.array([1,1,0]),\n  new_shape = np.array([1,0]))\n```\n  \nThe [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements.\n\nThe [reshape functor](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0.\n  \n### Patches\nWe have patched the issue in GitHub commit [4923de56ec94fff7770df259ab7f2288a74feb41](https://github.com/tensorflow/tensorflow/commit/4923de56ec94fff7770df259ab7f2288a74feb41).\n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.\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 members of the Aivul Team from Qihoo 360.\n\n## Affected packages\n\n- `tensorflow < 2.3.4`\n- `tensorflow >= 2.4.0, < 2.4.3`\n- `tensorflow >= 2.5.0, < 2.5.1`\n- `tensorflow-cpu < 2.3.4`\n- `tensorflow-cpu >= 2.4.0, < 2.4.3`\n- `tensorflow-cpu >= 2.5.0, < 2.5.1`\n- `tensorflow-gpu < 2.3.4`\n- `tensorflow-gpu >= 2.4.0, < 2.4.3`\n- `tensorflow-gpu >= 2.5.0, < 2.5.1`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `tensorflow 2.3.4`\n- `tensorflow 2.4.3`\n- `tensorflow 2.5.1`\n- `tensorflow-cpu 2.3.4`\n- `tensorflow-cpu 2.4.3`\n- `tensorflow-cpu 2.5.1`\n- `tensorflow-gpu 2.3.4`\n- `tensorflow-gpu 2.4.3`\n- `tensorflow-gpu 2.5.1`","depth":"sunlit","depthScore":30,"depthScoreParts":{"impact":30.3,"likelihood":0,"exploitation":0,"ransomware":0},"changes":[]}