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Wouldn't it be more useful to the sec community to have a algorithm that abstracts at the -interpreted- content level? That is when analyzing binaries I wouldn't think that this would classify two with near identical functionality together, even though it is removing a significant chunk of information during the hash pass.
I would largely assume that your algorithm, as is, works best on uncompressed bitmaps. Is there something I'm missing?
On Sun, Jan 3, 2010 at 6:37 AM, Joxean Koret <email@example.com> wrote:
> Hi all,
> I'm happy to announce the very first public release of the open source
> project DeepToad, a tool for computing fuzzy hashes from files.
> DeepToad can generate signatures, clusterize files and/or directories
> and compare them. It's inspired in the very good tool ssdeep  and, in
> fact, both projects are very similar.
> The complete project is written in pure python and is distributed under
> the LGPL license .
> Project's Web Page http://code.google.com/p/deeptoad/
> Download Web Page http://code.google.com/p/deeptoad/downloads/list
> Wiki http://code.google.com/p/deeptoad/w/list
>  http://ssdeep.sourceforge.net/
>  http://www.gnu.org/licenses/lgpl.html
> Regards && Happy new year!
> Joxean Koret
> Full-Disclosure - We believe in it.
> Charter: http://lists.grok.org.uk/full-disclosure-charter.html
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