1
2**** FUZZY HASHING API ****
3
4This file documents the fuzzy hashing API. Information on how to use the
5fuzzy hashing program ssdeep can be found in the man page. On *nix
6systems you can view this file with:
7
8$ man ./ssdeep.1
9
10Windows users can get the ssdeep usage information from README.TXT.
11
12
13** Using the API in Your Own Progrms **
14
15You can use the fuzzy hashing API in your own programs by doing
16the following:
17
181. Include the fuzzy hashing header
19
20#include <fuzzy.h>
21
22
232. Call one of the functions:
24
25* Fuzzy hashing a buffer of text:
26
27int fuzzy_hash_buf(const unsigned char *buf,
28		   uint32_t      buf_len,
29	           char          *result);
30
31This function computes the fuzzy hash of the buffer 'buf' and stores the
32result in result. You MUST allocate result to hold FUZZY_MAX_RESULT
33characters before calling this function. The length of the buffer should
34be passed in via buf_len. It is the user's responsibility to append the
35filename, if any, to the output. The function returns zero on success,
36one on error.
37
38
39* Fuzzy hashing a file:
40
41There are in fact two ways to fuzzy hash a file. If you already
42have an open file handle you can use:
43
44int fuzzy_hash_file(FILE *handle,
45	            char *result);
46
47This function computes the fuzzy hash of the file pointed to by handle
48and stores the result in result. You MUST allocate result to hold
49FUZZY_MAX_RESULT characters before calling this function. It is the
50user's responsibility to append the filename to the output.
51The function returns zero on success, one on error.
52
53The other function to hash a file takes a file name:
54
55int fuzzy_hash_filename(const char * filename,
56			char * result);
57
58Like the function above, this function stores the fuzzy hash result
59in the parameter result. You MUST allocate result to hold
60FUZZY_MAX_RESULT characters before calling this function.
61
62
63* Compare two fuzzy hash signatures:
64
65int fuzzy_compare(const char *sig1, const char *sig2);
66
67This function returns a value from 0 to 100 indicating the match
68score of the two signatures. A match score of zero indicates the \
69signatures did not match.
70
71
723. Compile
73
74To compile the program using gcc:
75
76   $ gcc -Wall -I/usr/local/include -L/usr/local/lib sample.c -lfuzzy
77
78Using mingw:
79
80   C:\> gcc -Wall -Ic:\path\to\includes sample.c fuzzy.dll
81
82Using Microsoft Visual C (MSVC):
83
84To paraphrase the MinGW documentation,
85http://www.mingw.org/mingwfaq.shtml#faq-msvcdll:
86
87The Windows ssdeep package includes a Win32 DLL and a .def file. Although
88MSVC users can't use the DLL directly, they can easily create a .lib file
89using the Microsoft LIB tool:
90
91   C:\> lib /machine:i386 /def:fuzzy.def
92
93You can then compile your program using the resulting library:
94
95   C:\> cl sample.c fuzzy.lib
96
97
98
99** Sample Program **
100
101A sample program that uses the API is in sample.c.
102
103
104
105** See Also **
106
107- Jesse D. Kornblum, "Identifying almost identical files using context
108triggered piecewise hashing", Digital Investigaton, 3(S):91-97,
109September 2006, http://dx.doi.org/10.1016/j.diin.2006.06.015,
110The Proceedings of the 6th Annual Digital Forensic Research Workshop
111