{"id":"GHSA-x7rp-74x2-mjf3","summary":"Segfault in Tensorflow","details":"### Impact\nThe `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the [following code](https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L248-L265\n) sets up conditions to cause a heap buffer overflow:\n```cc\n    auto per_batch_counts = BatchedMap\u003cW\u003e(num_batches);\n    int batch_idx = 0;\n    for (int idx = 0; idx \u003c num_values; ++idx) {\n      while (idx \u003e= splits_values(batch_idx)) {\n        batch_idx++;\n      }\n      const auto& value = values_values(idx);\n      if (value \u003e= 0 && (maxlength_ \u003c= 0 || value \u003c maxlength_)) {\n        per_batch_counts[batch_idx - 1][value] = 1;\n      }\n    }\n```\n\nA `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault.\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)","aliases":["BIT-tensorflow-2020-15200","CVE-2020-15200","PYSEC-2020-123","PYSEC-2020-280","PYSEC-2020-315"],"modified":"2026-07-08T06:28:16.173770625Z","published":"2020-09-25T18:28:32Z","database_specific":{"github_reviewed_at":"2020-09-25T17:21:36Z","nvd_published_at":"2020-09-25T19:15:00Z","cwe_ids":["CWE-122","CWE-20","CWE-787"],"severity":"HIGH","github_reviewed":true},"references":[{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x7rp-74x2-mjf3"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2020-15200"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-280.yaml"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-315.yaml"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-123.yaml"},{"type":"PACKAGE","url":"https://github.com/tensorflow/tensorflow"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"}],"affected":[{"package":{"name":"tensorflow","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.3.0"},{"fixed":"2.3.1"}]}],"versions":["2.3.0"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-x7rp-74x2-mjf3/GHSA-x7rp-74x2-mjf3.json"}},{"package":{"name":"tensorflow-cpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-cpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.3.0"},{"fixed":"2.3.1"}]}],"versions":["2.3.0"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-x7rp-74x2-mjf3/GHSA-x7rp-74x2-mjf3.json"}},{"package":{"name":"tensorflow-gpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-gpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.3.0"},{"fixed":"2.3.1"}]}],"versions":["2.3.0"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-x7rp-74x2-mjf3/GHSA-x7rp-74x2-mjf3.json"}}],"schema_version":"1.9.0","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H"},{"type":"CVSS_V4","score":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N"}]}