Headline
CVE-2023-27579: Check filter_input_channel > 0 in conv kernel. · tensorflow/tensorflow@34f8368
TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater filter_input_channel of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.
@@ -347,6 +347,7 @@ TfLiteStatus Prepare(KernelType kernel_type, TfLiteContext* context,
// or equals (normal conv).
auto input_channel = input->dims->data[3];
auto filter_input_channel = filter->dims->data[3];
TF_LITE_ENSURE(context, filter_input_channel > 0);
TF_LITE_ENSURE_EQ(context, input_channel % filter_input_channel, 0);
data->groups = input_channel / filter_input_channel;
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### Impact Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. ### Patches We have patched the issue in GitHub commit [34f8368c535253f5c9cb3a303297743b62442aaa](https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa). The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1. ### 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 was reported by Wang Xuan of Qihoo 360 AIVul Team.