{"id":"PYSEC-2020-123","details":"In Tensorflow before version 2.3.1, the `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 code sets up conditions to cause a heap buffer overflow. A `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. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.","aliases":["BIT-tensorflow-2020-15200","CVE-2020-15200","GHSA-x7rp-74x2-mjf3","PYSEC-2020-280","PYSEC-2020-315"],"modified":"2023-12-06T00:45:15.725514Z","published":"2020-09-25T19:15:00Z","references":[{"type":"ADVISORY","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x7rp-74x2-mjf3"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"},{"type":"FIX","url":"https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02"}],"affected":[{"package":{"name":"tensorflow","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow"},"ranges":[{"type":"GIT","repo":"https://github.com/tensorflow/tensorflow","events":[{"introduced":"0"},{"fixed":"3cbb917b4714766030b28eba9fb41bb97ce9ee02"}]},{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.3.1"}]}],"versions":["0.12.0rc0","0.12.0rc1","0.12.0","0.12.1","1.0.0","1.0.1","1.1.0rc0","1.1.0rc1","1.1.0rc2","1.1.0","1.2.0rc0","1.2.0rc1","1.2.0rc2","1.2.0","1.2.1","1.3.0rc0","1.3.0rc1","1.3.0rc2","1.3.0","1.4.0rc0","1.4.0rc1","1.4.0","1.4.1","1.5.0rc0","1.5.0rc1","1.5.0","1.5.1","1.6.0rc0","1.6.0rc1","1.6.0","1.7.0rc0","1.7.0rc1","1.7.0","1.7.1","1.8.0rc0","1.8.0rc1","1.8.0","1.9.0rc0","1.9.0rc1","1.9.0rc2","1.9.0","1.10.0rc0","1.10.0rc1","1.10.0","1.10.1","1.11.0rc0","1.11.0rc1","1.11.0rc2","1.11.0","1.12.0rc0","1.12.0rc1","1.12.0rc2","1.12.0","1.12.2","1.12.3","1.13.0rc0","1.13.0rc1","1.13.0rc2","1.13.1","1.13.2","1.14.0rc0","1.14.0rc1","1.14.0","1.15.0rc0","1.15.0rc1","1.15.0rc2","1.15.0rc3","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","2.0.0a0","2.0.0b0","2.0.0b1","2.0.0rc0","2.0.0rc1","2.0.0rc2","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0rc0","2.1.0rc1","2.1.0rc2","2.1.0","2.1.1","2.1.2","2.1.3","2.2.0rc0","2.2.0rc1","2.2.0rc2","2.2.0rc3","2.2.0rc4","2.2.0","2.2.1","2.2.2","2.3.0rc0","2.3.0rc1","2.3.0rc2","2.3.0","2.1.4","2.2.3"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow/PYSEC-2020-123.yaml"}}],"schema_version":"1.7.3"}