AIL-framework/bin/SQLInjectionDetection.py

159 lines
4.7 KiB
Python
Executable File

#!/usr/bin/env python2
# -*-coding:UTF-8 -*
"""
The SQLInjectionDetection Module
================================
This module is consuming the Redis-list created by the Web module.
It test different possibility to makes some sqlInjection.
"""
import time
import string
import urllib2
import re
from pubsublogger import publisher
from Helper import Process
from packages import Paste
from pyfaup.faup import Faup
# Config Var
regex_injection = []
word_injection = []
word_injection_suspect = []
# Classic atome injection
regex_injection1 = "([[AND |OR ]+[\'|\"]?[0-9a-zA-Z]+[\'|\"]?=[\'|\"]?[0-9a-zA-Z]+[\'|\"]?])"
regex_injection.append(regex_injection1)
# Time-based attack
regex_injection2 = ["SLEEP\([0-9]+", "BENCHMARK\([0-9]+", "WAIT FOR DELAY ", "WAITFOR DELAY"]
regex_injection2 = re.compile('|'.join(regex_injection2))
regex_injection.append(regex_injection2)
# Interesting keyword
word_injection1 = [" IF ", " ELSE ", " CASE ", " WHEN ", " END ", " UNION ", "SELECT ", " FROM ", " ORDER BY ", " WHERE ", " DELETE ", " DROP ", " UPDATE ", " EXEC "]
word_injection.append(word_injection1)
# Database special keywords
word_injection2 = ["@@version", "POW(", "BITAND(", "SQUARE("]
word_injection.append(word_injection2)
# Html keywords
word_injection3 = ["<script>"]
word_injection.append(word_injection3)
# Suspect char
word_injection_suspect1 = ["\'", "\"", ";", "<", ">"]
word_injection_suspect += word_injection_suspect1
# Comment
word_injection_suspect2 = ["--", "#", "/*"]
word_injection_suspect += word_injection_suspect2
def analyse(url, path):
faup.decode(url)
url_parsed = faup.get()
resource_path = url_parsed['resource_path']
query_string = url_parsed['query_string']
result_path = 0
result_query = 0
if resource_path is not None:
result_path = is_sql_injection(resource_path)
if query_string is not None:
result_query = is_sql_injection(query_string)
if (result_path > 0) or (result_query > 0):
paste = Paste.Paste(path)
if (result_path > 1) or (result_query > 1):
print "Detected SQL in URL: "
print urllib2.unquote(url)
to_print = 'SQLInjection;{};{};{};{};{}'.format(paste.p_source, paste.p_date, paste.p_name, "Detected SQL in URL", paste.p_path)
publisher.warning(to_print)
#Send to duplicate
p.populate_set_out(path, 'Duplicate')
#send to Browse_warning_paste
p.populate_set_out('sqlinjection;{}'.format(path), 'alertHandler')
else:
print "Potential SQL injection:"
print urllib2.unquote(url)
to_print = 'SQLInjection;{};{};{};{};{}'.format(paste.p_source, paste.p_date, paste.p_name, "Potential SQL injection", paste.p_path)
publisher.info(to_print)
# Try to detect if the url passed might be an sql injection by appliying the regex
# defined above on it.
def is_sql_injection(url_parsed):
line = urllib2.unquote(url_parsed)
line = string.upper(line)
result = []
result_suspect = []
for regex in regex_injection:
temp_res = re.findall(regex, line)
if len(temp_res)>0:
result.append(temp_res)
for word_list in word_injection:
for word in word_list:
temp_res = string.find(line, string.upper(word))
if temp_res!=-1:
result.append(line[temp_res:temp_res+len(word)])
for word in word_injection_suspect:
temp_res = string.find(line, string.upper(word))
if temp_res!=-1:
result_suspect.append(line[temp_res:temp_res+len(word)])
if len(result)>0:
print result
return 2
elif len(result_suspect)>0:
print result_suspect
return 1
else:
return 0
if __name__ == '__main__':
# If you wish to use an other port of channel, do not forget to run a subscriber accordingly (see launch_logs.sh)
# Port of the redis instance used by pubsublogger
publisher.port = 6380
# Script is the default channel used for the modules.
publisher.channel = 'Script'
# Section name in bin/packages/modules.cfg
config_section = 'SQLInjectionDetection'
# Setup the I/O queues
p = Process(config_section)
# Sent to the logging a description of the module
publisher.info("Try to detect SQL injection")
faup = Faup()
# Endless loop getting messages from the input queue
while True:
# Get one message from the input queue
message = p.get_from_set()
if message is None:
publisher.debug("{} queue is empty, waiting".format(config_section))
time.sleep(10)
continue
else:
# Do something with the message from the queue
url, date, path = message.split()
analyse(url, path)