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.
Advisories
Source ID Title
EUVD EUVD EUVD-2020-0197 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.
Github GHSA Github GHSA GHSA-p5f8-gfw5-33w4 Heap buffer overflow in Tensorflow
Fixes

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2024-08-04T13:08:22.883Z

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

Link: CVE-2020-15201

cve-icon Vulnrichment

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cve-icon NVD

Status : Modified

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

Modified: 2024-11-21T05:05:04.303

Link: CVE-2020-15201

cve-icon Redhat

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cve-icon OpenCVE Enrichment

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Weaknesses