TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d lack input validation and under certain condition can result in crashes (due to CHECK-failures). Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.
| Name | Vendor | Start Version | End Version |
|---|---|---|---|
| Tensorflow | * | 2.6.4 (excluding) | |
| Tensorflow | 2.7.0 (including) | 2.7.2 (excluding) | |
| Tensorflow | 2.7.0-rc0 (including) | 2.7.0-rc0 (including) | |
| Tensorflow | 2.7.0-rc1 (including) | 2.7.0-rc1 (including) | |
| Tensorflow | 2.8.0 (including) | 2.8.0 (including) | |
| Tensorflow | 2.8.0-rc0 (including) | 2.8.0-rc0 (including) | |
| Tensorflow | 2.8.0-rc1 (including) | 2.8.0-rc1 (including) | |
| Tensorflow | 2.9.0-rc0 (including) | 2.9.0-rc0 (including) | |
| Tensorflow | 2.9.0-rc1 (including) | 2.9.0-rc1 (including) |
While assertion is good for catching logic errors and reducing the chances of reaching more serious vulnerability conditions, it can still lead to a denial of service. For example, if a server handles multiple simultaneous connections, and an assert() occurs in one single connection that causes all other connections to be dropped, this is a reachable assertion that leads to a denial of service.