{"id":"CVE-2020-15196","aliases":["GHSA-pg59-2f92-5cph","BIT-tensorflow-2020-15196","PYSEC-2020-119","PYSEC-2020-276","PYSEC-2020-311"],"title":"Heap buffer overflow in Tensorflow","summary":"Heap buffer overflow in Tensorflow","severity":"high","cvss":8.5,"cvssVector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow >= 2.3.0, < 2.3.1","tensorflow-cpu >= 2.3.0, < 2.3.1","tensorflow-gpu >= 2.3.0, < 2.3.1"],"patched":["tensorflow 2.3.1","tensorflow-cpu 2.3.1","tensorflow-gpu 2.3.1"],"published":"2020-09-25","updated":"2026-07-08","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-pg59-2f92-5cph","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cph"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2020-15196"},{"url":"https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-276.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-311.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-119.yaml"},{"url":"https://github.com/tensorflow/tensorflow"},{"url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"}],"tags":["osv","pip"],"epss":0.00903,"epssPercentile":0.58255,"ingestedAt":"2026-07-08T18:25:51.757Z","slug":"CVE-2020-15196","body":"## Overview\n\n### Impact\nThe `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified:\nhttps://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L110-L117\n\nIn the sparse and ragged count weights are still accessed in parallel with the data:\nhttps://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L199-L201\n\nBut, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights.\n\n### Patches\nWe have patched the issue in 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and will release a patch release.\n\nWe recommend users to upgrade to TensorFlow 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-p5f8-gfw5-33w4](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4)\n\n## Affected packages\n\n- `tensorflow >= 2.3.0, < 2.3.1`\n- `tensorflow-cpu >= 2.3.0, < 2.3.1`\n- `tensorflow-gpu >= 2.3.0, < 2.3.1`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `tensorflow 2.3.1`\n- `tensorflow-cpu 2.3.1`\n- `tensorflow-gpu 2.3.1`","depth":"twilight","depthScore":47,"depthScoreParts":{"impact":46.8,"likelihood":0.2,"exploitation":0,"ransomware":0},"changes":[]}