🛡️ CVE-2020-15196 — tensorflow
Description
Heap buffer overflow in Tensorflow
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.
Affected software
CVE-2020-15196 is recorded against 1 package.
- tensorflow
Timeline and source
Published on 6 March 2024 and last revised on 20 May 2025. No public exploit is currently recorded for this entry. Record sourced from OSV.
References
github.com (Web)
github.com (Web)
github.com (Web)
nvd.nist.gov (Web)
Details
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| tensorflow | — | — |
References
Similar Threats
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Exploit Protection
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