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.
History

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cve-icon MITRE Information

Status: PUBLISHED

Assigner: GitHub_M

Published: 2020-09-25T18:40:15

Updated: 2020-09-25T18:40:15

Reserved: 2020-06-25T00:00:00


Link: CVE-2020-15200

JSON object: View

cve-icon NVD Information

Status : Analyzed

Published: 2020-09-25T19:15:15.260

Modified: 2021-11-18T17:24:30.770


Link: CVE-2020-15200

JSON object: View

cve-icon Redhat Information

No data.