Description
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Affected products
| Vendor | Product | Affected | Fixed |
|---|---|---|---|
| tensorflow | tensorflow | >= 2.3.0, < 2.3.1 | — |
Affected packages
| Ecosystem | Package | Affected | Fixed | Record |
|---|---|---|---|---|
| PyPI | tensorflow | >= 2.3.0, < 2.3.1 | 2.3.1 | GHSA-jc87-6vpp-7ff3 |
| PyPI | tensorflow | < 2.3.1 | 2.3.1 | PYSEC-2020-121 |
| PyPI | tensorflow-cpu | >= 2.3.0, < 2.3.1 | 2.3.1 | GHSA-jc87-6vpp-7ff3 |
| PyPI | tensorflow-cpu | < 2.3.1 | 2.3.1 | PYSEC-2020-278 |
| PyPI | tensorflow-gpu | >= 2.3.0, < 2.3.1 | 2.3.1 | GHSA-jc87-6vpp-7ff3 |
| PyPI | tensorflow-gpu | < 2.3.1 | 2.3.1 | PYSEC-2020-313 |