mirror of https://github.com/CIRCL/AIL-framework
Added few comments
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@ -11,6 +11,8 @@ Its input comes from other modules, namely:
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This one differ from v1 by only using redis and not json file stored on disk
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Perform comparisions with ssdeep and tlsh
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Requirements:
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-------------
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@ -130,18 +132,17 @@ if __name__ == "__main__":
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print '['+hash_type+'] '+'comparing: ' + str(PST.p_path[44:]) + ' and ' + str(paste_path[44:]) + ' percentage: ' + str(percent)
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except Exception,e:
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print str(e)
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# ssdeep hash not comparable
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#print 'hash not comparable, bad hash: '+dico_hash+' , current_hash: '+paste_hash
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#curr_dico_redis.srem('HASHS', dico_hash)
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# Add paste in DB after checking to prevent its analysis twice
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# hash_i -> index_i AND index_i -> PST.PATH
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# hash_type_i -> index_i AND index_i -> PST.PATH
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r_serv1.set(index, PST.p_path)
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r_serv1.sadd("INDEX", index)
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# Adding the hash in Redis
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# Adding hashes in Redis
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for hash_type, paste_hash in paste_hashes.iteritems():
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r_serv1.set(paste_hash, index)
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r_serv1.sadd("HASHS_"+hash_type, paste_hash)
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##################### Similarity found #######################
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# if there is data in this dictionnary
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@ -165,7 +165,7 @@ class Paste(object):
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"""
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Setting the hash of the paste as a kind of "uniq" identificator
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:return: hash string (md5, sha1....)
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:return: a dictionnary of hash string (md5, sha1....)
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:Example: PST._get_p_hash()
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@ -14,7 +14,7 @@ import Paste
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from Date import Date
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# CONFIG #
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tlsh_to_percent = 1000.0
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tlsh_to_percent = 1000.0 #Use to display the estimated percentage instead of a raw value
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configfile = os.path.join(os.environ['AIL_BIN'], 'packages/config.cfg')
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if not os.path.exists(configfile):
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@ -124,6 +124,7 @@ def showpaste(content_range):
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p_duplicate_full_list.sort(lambda x,y: cmp(x[2], y[2]), reverse=True)
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# Combine multiple duplicate paste name and format for display
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new_dup_list = []
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dup_list_removed = []
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for dup_list_index in range(0, len(p_duplicate_full_list)):
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@ -141,6 +142,7 @@ def showpaste(content_range):
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comp_vals = str(comp_vals).replace("[","").replace("]","") if len(comp_vals)==1 else str(comp_vals)
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new_dup_list.append([hash_types.replace("'", ""), p_duplicate_full_list[dup_list_index][1], comp_vals])
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# Create the list to pass to the webpage
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for dup_list in new_dup_list:
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hash_type, path, simil_percent = dup_list
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p_duplicate_list.append(path)
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