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. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. 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: 2020-09-25T18:46:21

Updated: 2020-09-25T18:46:21

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


Link: CVE-2020-15201

JSON object: View

cve-icon NVD Information

Status : Analyzed

Published: 2020-09-25T19:15:15.353

Modified: 2021-11-18T17:24:50.060


Link: CVE-2020-15201

JSON object: View

cve-icon Redhat Information

No data.