low2.5

CVE-2021-29603

Heap OOB write in TFLite

Impact

### Impact A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of [`ArgMin`/`ArgMax`](https://github.com/tensorflow/tensorflow/blob/102b211d892f3abc14f845a72047809b39cc65ab/tensorflow/lite/kernels/arg_min_max.cc#L52-L59): ```cc TfLiteIntArray* output_dims = TfLiteIntArrayCreate(NumDimensions(input) - 1); int j = 0; for (int i = 0; i < NumDimensions(input); ++i) { if (i != axis_value) { output_dims->data[j] = SizeOfDimension(input, i); ++j; } } ``` If `axis_value` is not a value between 0 and `NumDimensions(input)`, then the condition in the `if` is never true, so code writes past the last valid element of `output_dims->data`. ### Patches We have patched the issue in GitHub commit [c59c37e7b2d563967da813fa50fe20b21f4da683](https://github.com/tensorflow/tensorflow/commit/c59c37e7b2d563967da813fa50fe20b21f4da683). 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

Ecosystem	Package	Affected	Fixed in
pip	`tensorflow`	< 2.1.4	2.1.4
pip	`tensorflow-cpu`	< 2.1.4	2.1.4
pip	`tensorflow-gpu`	< 2.1.4	2.1.4

Affected products

Vendor	Product	Affected versions
Google	Tensorflow	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-787

Impact

Affected packages

Affected products

Weakness classification

References