Vulnerability Database
289,697
Total vulnerabilities in the database
CVE-2021-29565
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of tf.raw_ops.SparseFillEmptyRows. This is because of missing validation(https://github.com/tensorflow/tensorflow/blob/fdc82089d206e281c628a93771336bf87863d5e8/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L230-L231) that was covered under a TODO. If the dense_shape tensor is empty, then dense_shape_t.vec<>() would cause a null pointer dereference in the implementation of the op. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
| Software | From | Fixed in |
|---|---|---|
| google / tensorflow | 2.4.0 | 2.4.2 |
| google / tensorflow | 2.3.0 | 2.3.3 |
| google / tensorflow | 2.2.0 | 2.2.3 |
| google / tensorflow | - | 2.1.4 |
tensorflow
|
- | 2.1.4 |
|
tensorflow
|
2.2.0 | 2.2.3 |
|
tensorflow
|
2.3.0 | 2.3.3 |
|
tensorflow
|
2.4.0 | 2.4.2 |
|
tensorflow-cpu
|
- | 2.1.4 |
|
tensorflow-cpu
|
2.2.0 | 2.2.3 |
|
tensorflow-cpu
|
2.3.0 | 2.3.3 |
|
tensorflow-cpu
|
2.4.0 | 2.4.2 |
|
tensorflow-gpu
|
- | 2.1.4 |
|
tensorflow-gpu
|
2.2.0 | 2.2.3 |
|
tensorflow-gpu
|
2.3.0 | 2.3.3 |
|
tensorflow-gpu
|
2.4.0 | 2.4.2 |