This is a straightforward Python wrapper for ssdeep by Jesse Kornblum, which is a library for computing context triggered piecewise hashes (CTPH). Also called fuzzy hashes, CTPH can match inputs that have homologies. Such inputs have sequences of identical bytes in the same order, although bytes in between these sequences may be different in both content and length.
To compute a fuzzy hash, use hash function:
>>> import ssdeep >>> hash1 = ssdeep.hash('Also called fuzzy hashes, Ctph can match inputs that have homologies.') >>> hash1 '3:AXGBicFlgVNhBGcL6wCrFQEv:AXGHsNhxLsr2C' >>> hash2 = ssdeep.hash('Also called fuzzy hashes, CTPH can match inputs that have homologies.') >>> hash2 '3:AXGBicFlIHBGcL6wCrFQEv:AXGH6xLsr2C'
The compare function returns the match between 2 hashes, an integer value from 0 (no match) to 100.
>>> ssdeep.compare(hash1, hash2) 22
The hash_from_file accepts filename as argument and calculates the hash of the contents of the file.
>>> ssdeep.hash_from_file('/etc/resolv.conf') '3:S3yE29cFrrMOoiECAaHJgvn:S3m+COoiUCuvn'
This wrapper includes the unchanged source distribution of ssdeep version 2.5 and has no external dependencies.