jSQL An Automatic SQL Injection Tool Written in Java

jSQL An Automatic SQL Injection Tool Written in Java

jSQL Injection is a lightweight application used to find database information from a distant server.

It is free, open source and cross-platform (Windows, Linux, Mac OS X).

jSQL Injection is also part of the official penetration testing distribution Kali Linux and is included in other distributions like Pentest Box, Parrot Security OS, ArchStrike or BlackArch Linux.

Features

• Automatic injection of 23 kinds of databases: Access, CockroachDB, CUBRID, DB2, Derby, Firebird, H2, Hana, HSQLDB, Informix, Ingres, MaxDB, Mckoi, MySQL{MariaDb}, Neo4j, NuoDB, Oracle, PostgreSQL, SQLite, SQL Server, Sybase, Teradata and Vertica
• Multiple injection strategies: Normal, Error, Blind and Time
• SQL Engine to study and optimize SQL expressions
• Injection of multiple targets
• Search for administration pages
• Creation and vizualisation of Web shell and SQL shell
• Read and write files on host using injection
• Bruteforce of password's hash
• Code and decode a string

Installation  Install Java 8, then download the latest release of jSQL Injection and double-click on the file jsql-injection-v0.79.jar to launch the software.

You can also type java -jar jsql-injection-v0.79.jar in your terminal to start the program.
If you are using Kali Linux then get the latest release using commands apt update then apt full-upgrade.

Download jSQL Tool

Disclaimer:
Attacking web-server is illegal without prior mutual consent. The end user is responsible and obeys all applicable laws. Developers assume no liability and are not responsible for any misuse or damage caused by this program.

WSSAT - Web Service Security Assessment Tool

WSSAT - Web Service Security Assessment Tool

WSSAT is an open source web service security scanning tool which provides a dynamic environment to add, update or delete vulnerabilities by just editing its configuration files. 

This tool accepts WSDL address list as input file and for each service, it performs both static and dynamic tests against the security vulnerabilities.

It also makes information disclosure controls. With this tool, all web services could be analysed at once and the overall security assessment could be seen by the organization.

Objectives of WSSAT are to allow organizations:
Perform their web services security analysis at once
See overall security assessment with reports

Harden their web services

WSSAT’s main capabilities include:

Dynamic Testing:

• Insecure Communication - SSL Not Used
• Unauthenticated Service Method
• Error Based SQL Injection
• Cross Site Scripting
• XML Bomb
• External Entity Attack - XXE
• XPATH Injection
• Verbose SOAP Fault Message

Static Analysis:

• Weak XML Schema: Unbounded Occurrences
• Weak XML Schema: Undefined Namespace
• Weak WS-SecurityPolicy: Insecure Transport
• Weak WS-SecurityPolicy: Insufficient Supporting Token Protection
• Weak WS-SecurityPolicy: Tokens Not Protected

Information Leakage:

• Server or technology information disclosure

WSSAT’s main modules are:

• Parser
• Vulnerabilities Loader
• Analyzer/Attacker
• Logger
• Report Generator

The main difference of WSSAT is to create a dynamic vulnerability management environment instead of embedding the vulnerabilities into the code.

This project has been developed as Term Project at Middle East Technical University (METU), Software Management master program.

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Dork-cli Command Line Tool To Find Google Dork

Dork-cli Command-line Google Dork Tool

dork-cli performs searches against a Google custom search engine and returns a list of all the unique page results it finds, optionally filtered by a set of dynamic page extensions. 

Any number of additional query terms / dorks can be specified. dork-cli was designed to be piped into an external tool such as a vulnerability scanner for automated testing purposes.

Setup

In order to use this program you need to configure at a minimum two settings: a Google API key and a custom search engine id.

Custom Search Engine:

• Create a custom search engine via https://www.google.com/cse/
• Add your desired domain(s) under "Sites to search"
• Click "Search engine ID" button to reveal the id, or grab it from the "cx" url paramter

API key:

• Open the Google API console at https://code.google.com/apis/console
• Enable the Custom Search API via APIs & auth > APIs
• Create a new API key via APIs & auth > Credentials > Create new Key
• Select "Browser key", leave HTTP Referer blank and click Create

Usage

$ ./dork-cli.py -h
usage: dork-cli.py [-h] [-e ENGINE] [-f [FILETYPES]] [-k KEY] [-m MAX_QUERIES]
                   [-s SLEEP]
                   [T [T ...]]

Find dynamic pages via Google dorks.

positional arguments:
  T                     additional search term

optional arguments:
  -h, --help            show this help message and exit
  -e ENGINE, --engine ENGINE
                        Google custom search engine id (cx value)
  -f [FILETYPES], --filetypes [FILETYPES]
                        File extensions to return (if present but no
                        extensions specified, builtin dynamic list is used)
  -k KEY, --key KEY     Google API key

 -m MAX_QUERIES, --max-queries MAX_QUERIES
                        Maximum number of queries to issue
  -s SLEEP, --sleep SLEEP
                        Seconds to sleep before retry if daily API limit is
                        reached (0=disable)

Examples:

• NOTE: including -f/--filetypes without an argument, e.g. followed by --, defaults to filtering by a builtin list of dynamic file extensions.

$ ./dork-cli.py inurl:login
https://www.example.com/usher/Login.aspx
https://www.example.com/login/
http://www.example.com/rooms/index.php?option=com_user&view=login&Itemid=8
http://www.example.com/index.php?cmd=login
[...]
$ ./dork-cli.py --filetypes -- inurl:id
http://www.example.com/its/sla/sla.php?id=1617
http://www.example.com/bbucks/index.php?site=5&scode=0&id=720
http://www.example.com/directory/details.aspx?id=33
http://www.example.com/SitePages/VOIP%20ID.aspx
http://www.example.com/personnel_ext.php?id=44
http://www.example.com/its/alerts/event.php?id=7220
[...]
$ ./dork-cli.py --filetypes=php,aspx intitle:login inurl:admin
https://www.example.com/users/lab/admin/portal.php
https://www.example.com/admin/start/login.aspx?ReturnUrl=%2Fadmin%2Fscheduling%2Faudit%2Fdefault.aspx
http://www.example.com/admin/admin.php
[...]

API Limitations

The free Google API limits you to 100 searches per day, with a maximum of 10 results per search. This means if you configure dork-cli.py to return 100 results, it will issue 10 queries (1/10th of your daily limit) each time it is run.

You have the option to pay for additional searches via the Google API console. At the time of writing, signing up for billing on the Google API site gets you $300 free to spend on API calls for 60 days.

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XSStrike: A Python Script Designed To Detect And Exploit XSS Vulnerabilities

XSStrike is a python script designed to detect and exploit XSS vulnerabilities.

A list of features XSStrike has to offer:

•  Fuzzes a parameter and builds a suitable payload
•  Bruteforces parameters with payloads
•  Has an inbuilt crawler like functionality
•  Can reverse engineer the rules of a WAF/Filter
•  Detects and tries to bypass WAFs
•  Both GET and POST support
•  Most of the payloads are hand crafted
•  Negligible number of false positives
•  Opens the POC in a browser window

Installing XSStrike

Use the following command to download it

git clone https://github.com/UltimateHackers/XSStrike/

After downloading, navigate to XSStrike directory with the following command

cd XSStrike

Now install the required modules with the following command


pip install -r requirements.txt

Now you are good to go! Run XSStrike with the following command

python xsstrike

Using XSStrike

You can enter your target URL now but remember, you have to mark the most crucial parameter by inserting "d3v<" in it.

For example: target.com/search.php?q=d3v&category=1

After you enter your target URL, XSStrike will check if the target is protected by a WAF or not. If its not protected by WAF you will get three options

1. Fuzzer: It checks how the input gets reflected in the webpage and then tries to build a payload according to that.

2. Striker: It brute-forces all the parameters one by one and generates the proof of concept in a browser window.

3. Spider: It extracts all the links present in homepage of the target and checks parameters in them for XSS.

4. Hulk: Hulk uses a different approach, it doesn't care about reflection of input. It has a list of polyglots and solid payloads, it just enters them one by one in the target parameter and opens the resulted URL in a browser window.

XSStrike can also bypass Website Application Firewall (WAFs)

Watch Video:

  

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XSStrike: A Python Script Designed To Detect And Exploit XSS Vulnerabilities

XSStrike is a python script designed to detect and exploit XSS vulnerabilities.

A list of features XSStrike has to offer:

•  Fuzzes a parameter and builds a suitable payload
•  Bruteforces parameters with payloads
•  Has an inbuilt crawler like functionality
•  Can reverse engineer the rules of a WAF/Filter
•  Detects and tries to bypass WAFs
•  Both GET and POST support
•  Most of the payloads are hand crafted
•  Negligible number of false positives
•  Opens the POC in a browser window

Installing XSStrike

Use the following command to download it

git clone https://github.com/UltimateHackers/XSStrike/

After downloading, navigate to XSStrike directory with the following command

cd XSStrike

Now install the required modules with the following command


pip install -r requirements.txt

Now you are good to go! Run XSStrike with the following command

python xsstrike

Using XSStrike

You can enter your target URL now but remember, you have to mark the most crucial parameter by inserting "d3v<" in it.

For example: target.com/search.php?q=d3v&category=1

After you enter your target URL, XSStrike will check if the target is protected by a WAF or not. If its not protected by WAF you will get three options

1. Fuzzer: It checks how the input gets reflected in the webpage and then tries to build a payload according to that.

2. Striker: It brute-forces all the parameters one by one and generates the proof of concept in a browser window.

3. Spider: It extracts all the links present in homepage of the target and checks parameters in them for XSS.

4. Hulk: Hulk uses a different approach, it doesn't care about reflection of input. It has a list of polyglots and solid payloads, it just enters them one by one in the target parameter and opens the resulted URL in a browser window.

XSStrike can also bypass Website Application Firewall (WAFs)

Watch Video:

  

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Apparatus - A Graphical Security Analysis Tool For IoT Networks

ASTo - Apparatus Software Tool

An IoT network security analysis tool and visualizer

Apparatus is a security framework to facilitate security analysis in IoT systems. To make the usage of the Apparatus framework easier the ASTo app was created (ASTo stands for Apparatus Software Tool).

ASTo is security analysis tool for IoT networks. It is developed to support the Apparatus security framework. ASTo is based on electron and cytoscape.js. The icons are provided by Google's MaterialDesign.

The application is still in prototyping stage, which means a lot of functionality is being added with each commit, along with massive changes in almost everything.

To Use

To clone and run this repository you'll need Git and Node.js installed on your computer.
To download and install the app, type the following in your terminal:

# Clone this repository
git clone https://github.com/Or3stis/apparatus.git
# Go into the repository
cd apparatus
# Install dependencies
npm install
# to run the app

npm start

Because the app is still in prototype stage, it is best to keep up to date with the most recent commits. To do so, before starting the app, type:

# inside the apparatus directory

# update to latest
git pull

The first window (home screen) will ask you to choose which modeling phase would you like to perform analysis in. After you select a phase, a native dialog window will be displayed and ask you choose a file to load. By default, you can only choose .js or .json files.

You will find some example graphs in the graphs folder.

The architecture of ASTo

ASTo was designed with modularity and extendability in mind. Each module performs a specific function.

As with any Electron application, the first file that is being executed is the main.js. The main.js renders the index.html which is used as the home page of the app, so we can navigate to the different development phases.

Each phase has its own .html file where its graphical interface is declared.

• Design phase -> design.html
• Design state phase -> design-state.html
• Implementation phase -> implementation.html
• Implementation state phase ->implementation-state.html

Instructions

If you want to contribute that's great news Check the contributing guide. The application is being developed on Mac. That means that new commits might introduce breaking changes in other platforms. Especially commits that involve access to the file system. If something is not working, don't hesitate to create an issue.

If you want to find out how the app works check the wiki.
You can check the project's planned features in the roadmap.

Download Apparatus