Search for vulnerabilities
| Vulnerability ID | VCID-tdvx-q3rc-wqd4 |
| Aliases |
CVE-2020-15196
GHSA-pg59-2f92-5cph PYSEC-2020-119 PYSEC-2020-276 PYSEC-2020-311 |
| Summary | 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. |
| Status | Published |
| Exploitability | None |
| Weighted Severity | None |
| Risk | None |
| Affected and Fixed Packages | Package Details |
| There are no known CWE. |
| System | Score | Found at |
|---|---|---|
| There are no known severity scores. | ||
No EPSS data available for this vulnerability.
| Date | Actor | Action | Source | VulnerableCode Version |
|---|---|---|---|---|
| 2026-06-02T04:07:15.667530+00:00 | Pypa Importer | Import | https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2020-276.yaml | 38.6.0 |