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fuzz: add 2 new fuzzers for KD-trees and Ball-trees (ntop#2670)
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Original file line number | Diff line number | Diff line change |
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#include "ndpi_api.h" | ||
#include "fuzz_common_code.h" | ||
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#include <stdint.h> | ||
#include <stdio.h> | ||
#include <assert.h> | ||
#include "fuzzer/FuzzedDataProvider.h" | ||
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extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) { | ||
FuzzedDataProvider fuzzed_data(data, size); | ||
u_int16_t i, j, num_iteration, num_rows, num_columns, num_q_rows, num_q_columns, num_results; | ||
ndpi_btree *b; | ||
double **inputs, **q; | ||
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/* Just to have some data */ | ||
if (fuzzed_data.remaining_bytes() < 1024) | ||
return -1; | ||
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#if 0 /* TODO: ball.c code is not ready to handle memory allocation errors :( */ | ||
/* To allow memory allocation failures */ | ||
fuzz_set_alloc_callbacks_and_seed(size); | ||
#endif | ||
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num_rows = fuzzed_data.ConsumeIntegralInRange(1, 16); | ||
num_columns = fuzzed_data.ConsumeIntegralInRange(1, 16); | ||
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inputs = (double **)ndpi_malloc(sizeof(double *) * num_rows); | ||
for (i = 0; i < num_rows; i++) { | ||
inputs[i] = (double *)ndpi_malloc(sizeof(double) * num_columns); | ||
for (j = 0; j < num_columns; j++) | ||
inputs[i][j] = fuzzed_data.ConsumeFloatingPoint<double>(); | ||
} | ||
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num_q_rows = fuzzed_data.ConsumeIntegralInRange(1, 16); | ||
num_q_columns = fuzzed_data.ConsumeIntegralInRange(1, 16); | ||
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q = (double **)ndpi_malloc(sizeof(double *) * num_q_rows); | ||
for (i = 0; i < num_q_rows; i++) { | ||
q[i] = (double *)ndpi_malloc(sizeof(double) * num_q_columns); | ||
for (j = 0; j < num_q_columns; j++) | ||
q[i][j] = fuzzed_data.ConsumeFloatingPoint<double>(); | ||
} | ||
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num_results = fuzzed_data.ConsumeIntegralInRange((int)num_q_rows, 16); | ||
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b = ndpi_btree_init(inputs, num_rows, num_columns); | ||
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num_iteration = fuzzed_data.ConsumeIntegral<u_int8_t>(); | ||
for (i = 0; i < num_iteration; i++) { | ||
ndpi_knn result; | ||
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result = ndpi_btree_query(b, q, num_q_rows, num_q_columns, num_results); | ||
ndpi_free_knn(result); | ||
} | ||
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for (i = 0; i < num_rows; i++) | ||
ndpi_free(inputs[i]); | ||
ndpi_free(inputs); | ||
for (i = 0; i < num_q_rows; i++) | ||
ndpi_free(q[i]); | ||
ndpi_free(q); | ||
ndpi_free_btree(b); | ||
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return 0; | ||
} |
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Original file line number | Diff line number | Diff line change |
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#include "ndpi_api.h" | ||
#include "fuzz_common_code.h" | ||
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#include <stdint.h> | ||
#include <stdio.h> | ||
#include <assert.h> | ||
#include "fuzzer/FuzzedDataProvider.h" | ||
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extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) { | ||
FuzzedDataProvider fuzzed_data(data, size); | ||
u_int16_t i, j, rc, num_iteration, is_added = 0, num_dimensions; | ||
ndpi_kd_tree *k = NULL; | ||
double *values, *values_added; | ||
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/* Just to have some data */ | ||
if (fuzzed_data.remaining_bytes() < 1024) | ||
return -1; | ||
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/* To allow memory allocation failures */ | ||
fuzz_set_alloc_callbacks_and_seed(size); | ||
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num_dimensions = fuzzed_data.ConsumeIntegralInRange(1, 8); | ||
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values = (double *)ndpi_malloc(sizeof(double) * num_dimensions); | ||
values_added = (double *)ndpi_malloc(sizeof(double) * num_dimensions); | ||
if (!values || !values_added) { | ||
ndpi_free(values); | ||
ndpi_free(values_added); | ||
return 0; | ||
} | ||
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k = ndpi_kd_create(num_dimensions); | ||
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num_iteration = fuzzed_data.ConsumeIntegral<u_int8_t>(); | ||
for (i = 0; i < num_iteration; i++) { | ||
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for (j = 0; j < num_dimensions; j++) | ||
values[j] = fuzzed_data.ConsumeFloatingPoint<double>(); | ||
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rc = ndpi_kd_insert(k, values, NULL); | ||
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/* Keep one random entry really added */ | ||
if (rc == 0 && fuzzed_data.ConsumeBool()) { | ||
for (j = 0; j < num_dimensions; j++) | ||
values_added[j] = values[j]; | ||
is_added = 1; | ||
} | ||
} | ||
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/* "Random" search */ | ||
num_iteration = fuzzed_data.ConsumeIntegral<u_int8_t>(); | ||
for (i = 0; i < num_iteration; i++) { | ||
ndpi_kd_tree_result *res = NULL; | ||
double *user_data; | ||
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for (j = 0; j < num_dimensions; j++) | ||
values[j] = fuzzed_data.ConsumeFloatingPoint<double>(); | ||
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res = ndpi_kd_nearest(k, values); | ||
if (res) { | ||
ndpi_kd_num_results(res); | ||
ndpi_kd_result_get_item(res, &user_data); | ||
if(is_added) { | ||
ndpi_kd_distance(values, values_added, num_dimensions); | ||
} | ||
ndpi_kd_result_free(res); | ||
} | ||
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} | ||
/* Search of an added entry */ | ||
if (is_added) { | ||
ndpi_kd_tree_result *res = NULL; | ||
double *user_data; | ||
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res = ndpi_kd_nearest(k, values_added); | ||
if (res) { | ||
ndpi_kd_num_results(res); | ||
ndpi_kd_result_get_item(res, &user_data); | ||
ndpi_kd_result_free(res); | ||
} | ||
} | ||
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ndpi_free(values); | ||
ndpi_free(values_added); | ||
ndpi_kd_clear(k); | ||
ndpi_kd_free(k); | ||
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return 0; | ||
} |
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