CVE-2020-15196

In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

• CWE-119
• CWE-122
• CWE-125

• https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02Patch, Third Party Advisory
• https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cphExploit, Third Party Advisory
• https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02Patch, Third Party Advisory
• https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cphExploit, Third Party Advisory

Published

Sep 25, 2020

Last Modified

Jun 17, 2026

Status

Modified

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