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// Copyright 2018 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
////////////////////////////////////////////////////////////////////////////////
#include <stdint.h>
#include <stdlib.h>
#include "fuzzing/img_alpha.h"
#include "fuzzing/img_grid.h"
#include "fuzzing/img_peak.h"
#include "src/dsp/dsp.h"
#include "src/webp/encode.h"
//------------------------------------------------------------------------------
// Arbitrary limits to prevent OOM, timeout, or slow execution.
//
// The decoded image size, and for animations additionally the canvas size.
static const size_t kFuzzPxLimit = 1024 * 1024;
// Demuxed or decoded animation frames.
static const int kFuzzFrameLimit = 3;
// Reads and sums (up to) 128 spread-out bytes.
uint8_t FuzzHash(const uint8_t* const data, size_t size) {
uint8_t value = 0;
size_t incr = size / 128;
if (!incr)
incr = 1;
for (size_t i = 0; i < size; i += incr)
value += data[i];
return value;
}
//------------------------------------------------------------------------------
// Extract an integer in [0, max_value].
static uint32_t Extract(uint32_t max_value,
const uint8_t data[],
size_t size,
uint32_t* const bit_pos) {
uint32_t v = 0;
uint32_t range = 1;
while (*bit_pos < 8 * size && range <= max_value) {
const uint8_t mask = 1u << (*bit_pos & 7);
v = (v << 1) | !!(data[*bit_pos >> 3] & mask);
range <<= 1;
++*bit_pos;
}
return v % (max_value + 1);
}
//------------------------------------------------------------------------------
// Some functions to override VP8GetCPUInfo and disable some optimizations.
static VP8CPUInfo GetCPUInfo;
static int GetCPUInfoNoSSE41(CPUFeature feature) {
if (feature == kSSE4_1 || feature == kAVX)
return 0;
return GetCPUInfo(feature);
}
static int GetCPUInfoNoAVX(CPUFeature feature) {
if (feature == kAVX)
return 0;
return GetCPUInfo(feature);
}
static int GetCPUInfoForceSlowSSSE3(CPUFeature feature) {
if (feature == kSlowSSSE3 && GetCPUInfo(kSSE3)) {
return 1; // we have SSE3 -> force SlowSSSE3
}
return GetCPUInfo(feature);
}
static int GetCPUInfoOnlyC(CPUFeature feature) {
return 0;
}
static void ExtractAndDisableOptimizations(VP8CPUInfo default_VP8GetCPUInfo,
const uint8_t data[],
size_t size,
uint32_t* const bit_pos) {
GetCPUInfo = default_VP8GetCPUInfo;
const VP8CPUInfo kVP8CPUInfos[5] = {GetCPUInfoOnlyC, GetCPUInfoForceSlowSSSE3,
GetCPUInfoNoSSE41, GetCPUInfoNoAVX,
GetCPUInfo};
int VP8GetCPUInfo_index = Extract(4, data, size, bit_pos);
VP8GetCPUInfo = kVP8CPUInfos[VP8GetCPUInfo_index];
}
//------------------------------------------------------------------------------
static int ExtractWebPConfig(WebPConfig* const config,
const uint8_t data[],
size_t size,
uint32_t* const bit_pos) {
if (config == NULL || !WebPConfigInit(config))
return 0;
config->lossless = Extract(1, data, size, bit_pos);
config->quality = Extract(100, data, size, bit_pos);
config->method = Extract(6, data, size, bit_pos);
config->image_hint =
(WebPImageHint)Extract(WEBP_HINT_LAST - 1, data, size, bit_pos);
config->segments = 1 + Extract(3, data, size, bit_pos);
config->sns_strength = Extract(100, data, size, bit_pos);
config->filter_strength = Extract(100, data, size, bit_pos);
config->filter_sharpness = Extract(7, data, size, bit_pos);
config->filter_type = Extract(1, data, size, bit_pos);
config->autofilter = Extract(1, data, size, bit_pos);
config->alpha_compression = Extract(1, data, size, bit_pos);
config->alpha_filtering = Extract(2, data, size, bit_pos);
config->alpha_quality = Extract(100, data, size, bit_pos);
config->pass = 1 + Extract(9, data, size, bit_pos);
config->show_compressed = 1;
config->preprocessing = Extract(2, data, size, bit_pos);
config->partitions = Extract(3, data, size, bit_pos);
config->partition_limit = 10 * Extract(10, data, size, bit_pos);
config->emulate_jpeg_size = Extract(1, data, size, bit_pos);
config->thread_level = Extract(1, data, size, bit_pos);
config->low_memory = Extract(1, data, size, bit_pos);
config->near_lossless = 20 * Extract(5, data, size, bit_pos);
config->exact = Extract(1, data, size, bit_pos);
config->use_delta_palette = Extract(1, data, size, bit_pos);
config->use_sharp_yuv = Extract(1, data, size, bit_pos);
return WebPValidateConfig(config);
}
//------------------------------------------------------------------------------
static int ExtractSourcePicture(WebPPicture* const pic,
const uint8_t data[],
size_t size,
uint32_t* const bit_pos) {
if (pic == NULL)
return 0;
// Pick a source picture.
const uint8_t* kImagesData[] = {kImgAlphaData, kImgGridData, kImgPeakData};
const int kImagesWidth[] = {kImgAlphaWidth, kImgGridWidth, kImgPeakWidth};
const int kImagesHeight[] = {kImgAlphaHeight, kImgGridHeight, kImgPeakHeight};
const size_t kNbImages = sizeof(kImagesData) / sizeof(kImagesData[0]);
const size_t image_index = Extract(kNbImages - 1, data, size, bit_pos);
const uint8_t* const image_data = kImagesData[image_index];
pic->width = kImagesWidth[image_index];
pic->height = kImagesHeight[image_index];
pic->argb_stride = pic->width * 4 * sizeof(uint8_t);
// Read the bytes.
return WebPPictureImportRGBA(pic, image_data, pic->argb_stride);
}
//------------------------------------------------------------------------------
static int max(int a, int b) {
return ((a < b) ? b : a);
}
static int ExtractAndCropOrScale(WebPPicture* const pic,
const uint8_t data[],
size_t size,
uint32_t* const bit_pos) {
if (pic == NULL)
return 0;
const int alter_input = Extract(1, data, size, bit_pos);
const int crop_or_scale = Extract(1, data, size, bit_pos);
const int width_ratio = 1 + Extract(7, data, size, bit_pos);
const int height_ratio = 1 + Extract(7, data, size, bit_pos);
if (alter_input) {
if (crop_or_scale) {
const uint32_t left_ratio = 1 + Extract(7, data, size, bit_pos);
const uint32_t top_ratio = 1 + Extract(7, data, size, bit_pos);
const int cropped_width = max(1, pic->width / width_ratio);
const int cropped_height = max(1, pic->height / height_ratio);
const int cropped_left = (pic->width - cropped_width) / left_ratio;
const int cropped_top = (pic->height - cropped_height) / top_ratio;
return WebPPictureCrop(pic, cropped_left, cropped_top, cropped_width,
cropped_height);
} else {
const int scaled_width = 1 + (pic->width * width_ratio) / 8;
const int scaled_height = 1 + (pic->height * height_ratio) / 8;
return WebPPictureRescale(pic, scaled_width, scaled_height);
}
}
return 1;
}