{"id":"CVE-2020-15194","aliases":["GHSA-9mqp-7v2h-2382","BIT-tensorflow-2020-15194","PYSEC-2020-117","PYSEC-2020-274","PYSEC-2020-309"],"title":"Denial of Service in Tensorflow","summary":"Denial of Service in Tensorflow","severity":"medium","cvss":5.3,"cvssVector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow < 1.15.4","tensorflow >= 2.0.0, < 2.0.3","tensorflow >= 2.1.0, < 2.1.2","tensorflow >= 2.2.0, < 2.2.1","tensorflow >= 2.3.0, < 2.3.1","tensorflow-cpu < 1.15.4","tensorflow-cpu >= 2.0.0, < 2.0.3","tensorflow-cpu >= 2.1.0, < 2.1.2","tensorflow-cpu >= 2.2.0, < 2.2.1","tensorflow-cpu >= 2.3.0, < 2.3.1","tensorflow-gpu < 1.15.4","tensorflow-gpu >= 2.0.0, < 2.0.3","tensorflow-gpu >= 2.1.0, < 2.1.2","tensorflow-gpu >= 2.2.0, < 2.2.1","tensorflow-gpu >= 2.3.0, < 2.3.1"],"patched":["tensorflow 1.15.4","tensorflow 2.0.3","tensorflow 2.1.2","tensorflow 2.2.1","tensorflow 2.3.1","tensorflow-cpu 1.15.4","tensorflow-cpu 2.0.3","tensorflow-cpu 2.1.2","tensorflow-cpu 2.2.1","tensorflow-cpu 2.3.1","tensorflow-gpu 1.15.4","tensorflow-gpu 2.0.3","tensorflow-gpu 2.1.2","tensorflow-gpu 2.2.1","tensorflow-gpu 2.3.1"],"published":"2020-09-25","updated":"2026-07-08","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-9mqp-7v2h-2382","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9mqp-7v2h-2382"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2020-15194"},{"url":"https://github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-274.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-309.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-117.yaml"},{"url":"https://github.com/tensorflow/tensorflow"},{"url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"},{"url":"http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"}],"tags":["osv","pip"],"epss":0.01026,"epssPercentile":0.62027,"ingestedAt":"2026-07-08T18:25:48.046Z","slug":"CVE-2020-15194","body":"## Overview\n\n### Impact\nThe `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments:\nhttps://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L235-L241\n\nAlthough `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations.\n\n### Patches\nWe have patched the issue in 390611e0d45c5793c7066110af37c8514e6a6c54 and will release a patch release for all affected versions.\n\nWe recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.\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 is a variant of [GHSA-63xm-rx5p-xvqr](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-63xm-rx5p-xvqr)\n\n## Affected packages\n\n- `tensorflow < 1.15.4`\n- `tensorflow >= 2.0.0, < 2.0.3`\n- `tensorflow >= 2.1.0, < 2.1.2`\n- `tensorflow >= 2.2.0, < 2.2.1`\n- `tensorflow >= 2.3.0, < 2.3.1`\n- `tensorflow-cpu < 1.15.4`\n- `tensorflow-cpu >= 2.0.0, < 2.0.3`\n- `tensorflow-cpu >= 2.1.0, < 2.1.2`\n- `tensorflow-cpu >= 2.2.0, < 2.2.1`\n- `tensorflow-cpu >= 2.3.0, < 2.3.1`\n- `tensorflow-gpu < 1.15.4`\n- `tensorflow-gpu >= 2.0.0, < 2.0.3`\n- `tensorflow-gpu >= 2.1.0, < 2.1.2`\n- `tensorflow-gpu >= 2.2.0, < 2.2.1`\n- `tensorflow-gpu >= 2.3.0, < 2.3.1`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `tensorflow 1.15.4`\n- `tensorflow 2.0.3`\n- `tensorflow 2.1.2`\n- `tensorflow 2.2.1`\n- `tensorflow 2.3.1`\n- `tensorflow-cpu 1.15.4`\n- `tensorflow-cpu 2.0.3`\n- `tensorflow-cpu 2.1.2`\n- `tensorflow-cpu 2.2.1`\n- `tensorflow-cpu 2.3.1`\n- `tensorflow-gpu 1.15.4`\n- `tensorflow-gpu 2.0.3`\n- `tensorflow-gpu 2.1.2`\n- `tensorflow-gpu 2.2.1`\n- `tensorflow-gpu 2.3.1`","depth":"sunlit","depthScore":29,"depthScoreParts":{"impact":29.2,"likelihood":0.2,"exploitation":0,"ransomware":0},"changes":[]}