1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
|
#include "ndpi_api.h"
#include "fuzz_common_code.h"
#include <stdint.h>
#include <stdio.h>
#include "fuzzer/FuzzedDataProvider.h"
extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
FuzzedDataProvider fuzzed_data(data, size);
u_int16_t i, num_iteration;
struct ndpi_ses_struct s;
struct ndpi_des_struct d;
int rc_ses, rc_des;
double forecast, confidence_band, *values, value;
float significance, alpha_ses, alpha_des, beta;
/* Just to have some data */
if(fuzzed_data.remaining_bytes() < 2048)
return -1;
/* To allow memory allocation failures */
fuzz_set_alloc_callbacks_and_seed(size);
/* Training */
num_iteration = fuzzed_data.ConsumeIntegral<u_int8_t>();
values = (double *)ndpi_malloc(sizeof(double) * num_iteration);
if (!values)
return 0;
for (i = 0; i < num_iteration; i++)
values[i] = fuzzed_data.ConsumeFloatingPoint<double>();
ndpi_ses_fitting(values, num_iteration, &alpha_ses);
ndpi_des_fitting(values, num_iteration, &alpha_des, &beta);
ndpi_free(values);
significance = fuzzed_data.ConsumeFloatingPointInRange<float>(0, 1.1);
rc_ses = ndpi_ses_init(fuzzed_data.ConsumeBool() ? &s : NULL, alpha_ses, significance);
rc_des = ndpi_des_init(fuzzed_data.ConsumeBool() ? &d : NULL, alpha_des, beta, significance);
num_iteration = fuzzed_data.ConsumeIntegral<u_int8_t>();
for (i = 0; i < num_iteration; i++) {
value = fuzzed_data.ConsumeFloatingPoint<double>();
if (rc_ses == 0)
ndpi_ses_add_value(&s, value, &forecast, &confidence_band);
if (rc_des == 0)
ndpi_des_add_value(&d, value, &forecast, &confidence_band);
}
ndpi_ses_reset(&s);
ndpi_des_reset(&d);
return 0;
}
|