NetSight
IP …
low2.5

CVE-2021-29595

Division by zero in TFLite's implementation of `DepthToSpace`

Impact

### Impact The implementation of the `DepthToSpace` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/depth_to_space.cc#L63-L69): ```cc const int block_size = params->block_size; ... const int input_channels = input->dims->data[3]; ... int output_channels = input_channels / block_size / block_size; ``` An attacker can craft a model such that `params->block_size` is 0. ### Patches We have patched the issue in GitHub commit [106d8f4fb89335a2c52d7c895b7a7485465ca8d9](https://github.com/tensorflow/tensorflow/commit/106d8f4fb89335a2c52d7c895b7a7485465ca8d9). 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. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Affected packages

EcosystemPackageAffectedFixed in
piptensorflow< 2.1.42.1.4
piptensorflow-cpu< 2.1.42.1.4
piptensorflow-gpu< 2.1.42.1.4

Affected products

VendorProductAffected versions
GoogleTensorflow
before 2.1.4
from 2.2.0 before 2.2.3
from 2.3.0 before 2.3.3
from 2.4.0 before 2.4.2

Weakness classification

CWE-369

References