I had something of a puzzle to solve. A friend asked me to look at a set of files, all of the same size, but with some differences.
After some analysis, it dawned on me that these files were the result of a simple fuzzer applied to a single file. So I quickly wrote a program that took these files as input and reconstituted the original file. Later I wrote a more generic defuzzer. Here is an example:
defuzzer.py result.png a*.png Number of defuzzed bytes: 171 Number of defuzzed sequences: 33 Length of shortest defuzzed sequence: 1 Length of longest defuzzed sequence: 10 Fuzz bytes: 'A': 171
From the result you can see that the program was able to reconstitute the original file, and that the fuzzer that was used to produce the different a*.png files, overwrote 33 byte-sequences with the character A. The longest sequence was 10 bytes long, the shortest only 1 byte. In total, 171 bytes were overwritten.
defuzzer_v0_0_2.zip (https)
MD5: 75188EF950625B78937C3473D825C582
SHA256: 056AB8BA7F3B2B52F8C7BFC2959D7F1AE3FEAC4BE90C675B2DFF6B521225D93E
Didier Stevens 
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