TensorFlow is an open source platform for machine learning. The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds to 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 | 2.7.0 (including) | 2.7.2 (excluding) | |
| Tensorflow | 2.8.0 (including) | 2.8.1 (excluding) | |
| Tensorflow | 2.9.0 (including) | 2.9.1 (excluding) | |
| Tensorflow | 2.10-rc0 (including) | 2.10-rc0 (including) | |
| Tensorflow | 2.10-rc1 (including) | 2.10-rc1 (including) | |
| Tensorflow | 2.10-rc2 (including) | 2.10-rc2 (including) | |
| Tensorflow | 2.10-rc3 (including) | 2.10-rc3 (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.