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dnn_backend_native: Add overflow check for length calculation.

We should not silently allocate an incorrect sized buffer.
Fixes trac issue #8718.

Signed-off-by: Reimar Döffinger <Reimar.Doeffinger@gmx.de>
Reviewed-by: Michael Niedermayer <michael@niedermayer.cc>
Reviewed-by: Guo, Yejun <yejun.guo@intel.com>
This commit is contained in:
Reimar Döffinger 2020-07-06 09:32:17 +02:00 committed by Guo, Yejun
parent 93a435dd4b
commit 584f396132
8 changed files with 23 additions and 1 deletions

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@ -79,6 +79,8 @@ static DNNReturnType set_input_output_native(void *model, DNNData *input, const
av_freep(&oprd->data);
oprd->length = calculate_operand_data_length(oprd);
if (oprd->length <= 0)
return DNN_ERROR;
oprd->data = av_malloc(oprd->length);
if (!oprd->data)
return DNN_ERROR;
@ -295,7 +297,13 @@ int32_t calculate_operand_dims_count(const DnnOperand *oprd)
int32_t calculate_operand_data_length(const DnnOperand* oprd)
{
// currently, we just support DNN_FLOAT
return oprd->dims[0] * oprd->dims[1] * oprd->dims[2] * oprd->dims[3] * sizeof(float);
uint64_t len = sizeof(float);
for (int i = 0; i < 4; i++) {
len *= oprd->dims[i];
if (len > INT32_MAX)
return 0;
}
return len;
}
void ff_dnn_free_model_native(DNNModel **model)

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@ -120,6 +120,8 @@ DNNReturnType ff_dnn_execute_model_native(const DNNModel *model, DNNData *output
void ff_dnn_free_model_native(DNNModel **model);
// NOTE: User must check for error (return value <= 0) to handle
// case like integer overflow.
int32_t calculate_operand_data_length(const DnnOperand *oprd);
int32_t calculate_operand_dims_count(const DnnOperand *oprd);
#endif

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@ -113,6 +113,8 @@ int dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_
output_operand->dims[3] = conv_params->output_num;
output_operand->data_type = operands[input_operand_index].data_type;
output_operand->length = calculate_operand_data_length(output_operand);
if (output_operand->length <= 0)
return -1;
output_operand->data = av_realloc(output_operand->data, output_operand->length);
if (!output_operand->data)
return -1;

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@ -75,6 +75,8 @@ int dnn_execute_layer_depth2space(DnnOperand *operands, const int32_t *input_ope
output_operand->dims[3] = new_channels;
output_operand->data_type = operands[input_operand_index].data_type;
output_operand->length = calculate_operand_data_length(output_operand);
if (output_operand->length <= 0)
return -1;
output_operand->data = av_realloc(output_operand->data, output_operand->length);
if (!output_operand->data)
return -1;

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@ -91,6 +91,8 @@ int dnn_execute_layer_math_binary(DnnOperand *operands, const int32_t *input_ope
output->data_type = input->data_type;
output->length = calculate_operand_data_length(output);
if (output->length <= 0)
return DNN_ERROR;
output->data = av_realloc(output->data, output->length);
if (!output->data)
return DNN_ERROR;

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@ -67,6 +67,8 @@ int dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_oper
output->data_type = input->data_type;
output->length = calculate_operand_data_length(output);
if (output->length <= 0)
return DNN_ERROR;
output->data = av_realloc(output->data, output->length);
if (!output->data)
return DNN_ERROR;

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@ -64,6 +64,8 @@ int dnn_execute_layer_maximum(DnnOperand *operands, const int32_t *input_operand
output->data_type = input->data_type;
output->length = calculate_operand_data_length(output);
if (output->length <= 0)
return DNN_ERROR;
output->data = av_realloc(output->data, output->length);
if (!output->data)
return DNN_ERROR;

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@ -111,6 +111,8 @@ int dnn_execute_layer_pad(DnnOperand *operands, const int32_t *input_operand_ind
output_operand->dims[3] = new_channel;
output_operand->data_type = operands[input_operand_index].data_type;
output_operand->length = calculate_operand_data_length(output_operand);
if (output_operand->length <= 0)
return -1;
output_operand->data = av_realloc(output_operand->data, output_operand->length);
if (!output_operand->data)
return -1;