Ashok - A OSINT Recon Tool, A.K.A Swiss Army Knife

Reconnaissance is the first phase of penetration testing which means gathering information before any real attacks are planned So Ashok is an Incredible fast recon tool for penetration tester which is specially designed for Reconnaissance" title="Reconnaissance">Reconnaissance phase. And in Ashok-v1.1 you can find the advanced google dorker and wayback crawling machine.

Main Features

- Wayback Crawler Machine
- Google Dorking without limits
- Github Information Grabbing
- Subdomain Identifier 
- Cms/Technology Detector With Custom Headers

Installation

~> git clone https://github.com/ankitdobhal/Ashok
~> cd Ashok
~> python3.7 -m pip3 install -r requirements.txt

How to use Ashok?

A detailed usage guide is available on Usage section of the Wiki.

But Some index of options is given below:

• Extract Http Headers from single url
• Dump internet-archive machine with json output for single url
• Google dorking using number of results as dorknumber
• Dns Lookup of single target domain
• Subdomain Lookup of single target domain
• Port Scan using nmap of single target domain
• Extract data using Github username of target
• Detect Cms of target url

Docker

Ashok can be launched using a lightweight Python3.8-Alpine Docker image.

$ docker pull powerexploit/ashok-v1.2
$ docker container run -it powerexploit/ashok-v1.2  --help

Credits

• hackertarget

NetworkSherlock - Powerful And Flexible Port Scanning Tool With Shodan

NetworkSherlock is a powerful and flexible port scanning tool designed for network security professionals and penetration testers. With its advanced capabilities, NetworkSherlock can efficiently scan IP ranges, CIDR blocks, and multiple targets. It stands out with its detailed banner grabbing capabilities across various protocols and integration with Shodan, the world's premier service for scanning and analyzing internet-connected devices. This Shodan integration enables NetworkSherlock to provide enhanced scanning capabilities, giving users deeper insights into network vulnerabilities and potential threats. By combining local port scanning with Shodan's extensive database, NetworkSherlock offers a comprehensive tool for identifying and analyzing network security issues.

Features

• Scans multiple IPs, IP ranges, and CIDR blocks.
• Supports port scanning over TCP and UDP protocols.
• Detailed banner grabbing feature.
• Ping check for identifying reachable targets.
• Multi-threading support for fast scanning operations.
• Option to save scan results to a file.
• Provides detailed version information.
• Colorful console output for better readability.
• Shodan integration for enhanced scanning capabilities.
• Configuration file support for Shodan API key.

Installation

NetworkSherlock requires Python 3.6 or later.

1. Clone the repository:

   git clone https://github.com/HalilDeniz/NetworkSherlock.git

2. Install the required packages:

   pip install -r requirements.txt

Configuration

Update the networksherlock.cfg file with your Shodan API key:

[SHODAN]
api_key = YOUR_SHODAN_API_KEY

Usage

python3 networksherlock.py --help
usage: networksherlock.py [-h] [-p PORTS] [-t THREADS] [-P {tcp,udp}] [-V] [-s SAVE_RESULTS] [-c] target

NetworkSherlock: Port Scan Tool

positional arguments:
  target                Target IP address(es), range, or CIDR (e.g., 192.168.1.1, 192.168.1.1-192.168.1.5,
                        192.168.1.0/24)

options:
  -h, --help            show this help message and exit
  -p PORTS, --ports PORTS
                        Ports to scan (e.g. 1-1024, 21,22,80, or 80)
  -t THREADS, --threads THREADS
                        Number of threads to use
  -P {tcp,udp}, --protocol {tcp,udp}
                        Protocol to use for scanning
  -V, --version-info    Used to get version information
  -s SAVE_RESULTS, --save-results SAVE_RESULTS
                        File to save scan results
  -c, --ping-check      Perform ping check before scanning
     --use-shodan          Enable Shodan integration for additional information

Basic Parameters

• target: The target IP address(es), IP range, or CIDR block to scan.
• -p, --ports: Ports to scan (e.g., 1-1000, 22,80,443).
• -t, --threads: Number of threads to use.
• -P, --protocol: Protocol to use for scanning (tcp or udp).
• -V, --version-info: Obtain version information during banner grabbing.
• -s, --save-results: Save results to the specified file.
• -c, --ping-check: Perform a ping check before scanning.
• --use-shodan: Enable Shodan integration.

Example Usage

Basic Port Scan

Scan a single IP address on default ports:

python networksherlock.py 192.168.1.1

Custom Port Range

Scan an IP address with a custom range of ports:

python networksherlock.py 192.168.1.1 -p 1-1024

Multiple IPs and Port Specification

Scan multiple IP addresses on specific ports:

python networksherlock.py 192.168.1.1,192.168.1.2 -p 22,80,443

CIDR Block Scan

Scan an entire subnet using CIDR notation:

python networksherlock.py 192.168.1.0/24 -p 80

Using Multi-Threading

Perform a scan using multiple threads for faster execution:

python networksherlock.py 192.168.1.1-192.168.1.5 -p 1-1024 -t 20

Scanning with Protocol Selection

Scan using a specific protocol (TCP or UDP):

python networksherlock.py 192.168.1.1 -p 53 -P udp

Scan with Shodan

python networksherlock.py 192.168.1.1 --use-shodan

Scan Multiple Targets with Shodan

python networksherlock.py 192.168.1.1,192.168.1.2 -p 22,80,443 -V --use-shodan

Banner Grabbing and Save Results

Perform a detailed scan with banner grabbing and save results to a file:

python networksherlock.py 192.168.1.1 -p 1-1000 -V -s results.txt

Ping Check Before Scanning

Scan an IP range after performing a ping check:

python networksherlock.py 10.0.0.1-10.0.0.255 -c

OUTPUT EXAMPLE

$ python3 networksherlock.py 10.0.2.12 -t 25 -V -p 21-6000 -t 25
********************************************
Scanning target: 10.0.2.12
Scanning IP    : 10.0.2.12
Ports          : 21-6000
Threads        : 25
Protocol       : tcp
---------------------------------------------
Port        Status   Service           VERSION
22  /tcp     open     ssh            SSH-2.0-OpenSSH_4.7p1 Debian-8ubuntu1
21  /tcp     open     telnet         220 (vsFTPd 2.3.4)
80  /tcp     open     http           HTTP/1.1 200 OK
139 /tcp     open     netbios-ssn    %SMBr
25  /tcp     open     smtp           220 metasploitable.localdomain ESMTP Postfix (Ubuntu)
23  /tcp     open     smtp            #' #'
445 /tcp     open     microsoft-ds   %SMBr
514 /tcp     open     shell          
512 /tcp     open     exec           Where are you?
1524/tcp     open     ingreslock     ro   ot@metasploitable:/#
2121/tcp     open     iprop          220 ProFTPD 1.3.1 Server (Debian) [::ffff:10.0.2.12]
3306/tcp     open     mysql          >
5900/tcp     open     unknown        RFB 003.003
53  /tcp     open     domain              
---------------------------------------------

OutPut Example

$ python3 networksherlock.py 10.0.2.0/24 -t 10 -V -p 21-1000
********************************************
Scanning target: 10.0.2.1
Scanning IP    : 10.0.2.1
Ports          : 21-1000
Threads        : 10
Protocol       : tcp
---------------------------------------------
Port        Status   Service           VERSION
53  /tcp     open     domain         
********************************************
Scanning target: 10.0.2.2
Scanning IP    : 10.0.2.2
Ports          : 21-1000
Threads        : 10
Protocol       : tcp
---------------------------------------------
Port        Status   Service           VERSION
445 /tcp     open     microsoft-ds   
135 /tcp     open     epmap          
********************************************
Scanning target: 10.0.2.12
Scanning IP    : 10.0.2.12
Ports          : 21-   1000
Threads        : 10
Protocol       : tcp
---------------------------------------------
Port        Status   Service           VERSION
21  /tcp     open     ftp           220 (vsFTPd 2.3.4)
22  /tcp     open     ssh           SSH-2.0-OpenSSH_4.7p1 Debian-8ubuntu1
23  /tcp     open     telnet          #'
80  /tcp     open     http           HTTP/1.1 200 OK
53  /tcp     open     kpasswd        464/udpcp                     
445 /tcp     open     domain         %SMBr
3306/tcp     open     mysql          >
********************************************
Scanning target: 10.0.2.20
Scanning IP    : 10.0.2.20
Ports          : 21-1000
Threads        : 10
Protocol       : tcp
---------------------------------------------
Port        Status   Service           VERSION
22  /tcp     open     ssh            SSH-2.0-OpenSSH_8.2p1 Ubuntu-4ubuntu0.9

Contributing

Contributions are welcome! To contribute to NetworkSherlock, follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your forked repository.
5. Open a pull request in the main repository.

Contact

• Linktr :Halil Deniz
• LinkedIn : Halil İbrahim Deniz
• TryHackMe : halilovic
• Instagram : deniz.halil333
• YouTube : HalilDeniz
• Email: halildeniz313@gmail.com

Scanner-and-Patcher - A Web Vulnerability Scanner And Patcher

This tools is very helpful for finding vulnerabilities present in the Web Applications.

• A web application scanner explores a web application by crawling through its web pages and examines it for security vulnerabilities, which involves generation of malicious inputs and evaluation of application's responses.
• These scanners are automated tools that scan web applications to look for security vulnerabilities. They test web applications for common security problems such as cross-site scripting (XSS), SQL injection, and cross-site request forgery (CSRF).
• This scanner uses different tools like nmap, dnswalk, dnsrecon, dnsenum, dnsmap etc in order to scan ports, sites, hosts and network to find vulnerabilites like OpenSSL CCS Injection, Slowloris, Denial of Service, etc.

Tools Used

Working

Phase 1

• User has to write:- "python3 web_scan.py (https or http) ://example.com"
• At first program will note initial time of running, then it will make url with "www.example.com".
• After this step system will check the internet connection using ping.
• Functionalities:-
• To navigate to helper menu write this command:- --help for update --update
• If user want to skip current scan/test:- CTRL+C
• To quit the scanner use:- CTRL+Z
• The program will tell scanning time taken by the tool for a specific test.

Phase 2

• From here the main function of scanner will start:
• The scanner will automatically select any tool to start scanning.
• Scanners that will be used and filename rotation (default: enabled (1)
• Command that is used to initiate the tool (with parameters and extra params) already given in code
• After founding vulnerability in web application scanner will classify vulnerability in specific format:-
• [Responses + Severity (c - critical | h - high | m - medium | l - low | i - informational) + Reference for Vulnerability Definition and Remediation]
• Here c or critical defines most vulnerability wheres l or low is for least vulnerable system

Definitions:-

• Critical:- Vulnerabilities that score in the critical range usually have most of the following characteristics: Exploitation of the vulnerability likely results in root-level compromise of servers or infrastructure devices.Exploitation is usually straightforward, in the sense that the attacker does not need any special authentication credentials or knowledge about individual victims, and does not need to persuade a target user, for example via social engineering, into performing any special functions.

• High:- An attacker can fully compromise the confidentiality, integrity or availability, of a target system without specialized access, user interaction or circumstances that are beyond the attacker’s control. Very likely to allow lateral movement and escalation of attack to other systems on the internal network of the vulnerable application. The vulnerability is difficult to exploit. Exploitation could result in elevated privileges. Exploitation could result in a significant data loss or downtime.

• Medium:- An attacker can partially compromise the confidentiality, integrity, or availability of a target system. Specialized access, user interaction, or circumstances that are beyond the attacker’s control may be required for an attack to succeed. Very likely to be used in conjunction with other vulnerabilities to escalate an attack.Vulnerabilities that require the attacker to manipulate individual victims via social engineering tactics. Denial of service vulnerabilities that are difficult to set up. Exploits that require an attacker to reside on the same local network as the victim. Vulnerabilities where exploitation provides only very limited access. Vulnerabilities that require user privileges for successful exploitation.

• Low:- An attacker has limited scope to compromise the confidentiality, integrity, or availability of a target system. Specialized access, user interaction, or circumstances that are beyond the attacker’s control is required for an attack to succeed. Needs to be used in conjunction with other vulnerabilities to escalate an attack.

• Info:- An attacker can obtain information about the web site. This is not necessarily a vulnerability, but any information which an attacker obtains might be used to more accurately craft an attack at a later date. Recommended to restrict as far as possible any information disclosure.

• CVSS V3 SCORE RANGE	SEVERITY IN ADVISORY
  0.1 - 3.9	Low
  4.0 - 6.9	Medium
  7.0 - 8.9	High
  9.0 - 10.0	Critical

Vulnerabilities

• After this scanner will show results which inclues:
• Response time
• Total time for scanning
• Class of vulnerability

Remediation

• Now, Scanner will tell about harmful effects of that specific type vulnerabilility.
• Scanner tell about sources to know more about the vulnerabilities. (websites).
• After this step, scanner suggests some remdies to overcome the vulnerabilites.

Phase 3

• Scanner will Generate a proper report including
• Total number of vulnerabilities scanned
• Total number of vulnerabilities skipped
• Total number of vulnerabilities detected
• Time taken for total scan
• Details about each and every vulnerabilites.
• Writing all scan files output into SA-Debug-ScanLog for debugging purposes under the same directory
• For Debugging Purposes, You can view the complete output generated by all the tools named SA-Debug-ScanLog.

Use

Use Program as python3 web_scan.py (https or http) ://example.com

--help
--update

Installation

git clone https://github.com/Malwareman007/Scanner-and-Patcher.git
cd Scanner-and-Patcher/setup
python3 -m pip install --no-cache-dir -r requirements.txt

Screenshots of Scanner

Contributions

Template contributions , Feature Requests and Bug Reports are more than welcome.

Authors

Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

Nmap-API - Uses Python3.10, Debian, python-Nmap, And Flask Framework To Create A Nmap API That Can Do Scans With A Good Speed Online And Is Easy To Deploy

Uses python3.10, Debian, python-Nmap, and flask framework to create a Nmap API that can do scans with a good speed online and is easy to deploy.

This is a implementation for our college PCL project which is still under development and constantly updating.

API Reference

Get all items

  GET /api/p1/{username}:{password}/{target}
  GET /api/p2/{username}:{password}/{target}
  GET /api/p3/{username}:{password}/{target}
  GET /api/p4/{username}:{password}/{target}
  GET /api/p5/{username}:{password}/{target}

Get item

  GET /api/p1/
  GET /api/p2/
  GET /api/p3/
  GET /api/p4/
  GET /api/p5/

Auth and User management

  POST /adduser/{admin-username}:{admin-passwd}/{id}/{username}/{passwd}
  POST /deluser/{admin-username}:{admin-passwd}/{t-username}/{t-userpass}
  POST /altusername/{admin-username}:{admin-passwd}/{t-user-id}/{new-t-username}
  POST /altuserid/{admin-username}:{admin-passwd}/{new-t-user-id}/{t-username}
  POST /altpassword/{admin-username}:{admin-passwd}/{t-username}/{new-t-userpass}

• make sure you use the ADMIN CREDS MENTIONED BELOW

DEFAULT CREDENTIALS

ADMINISTRATOR : zAp6_oO~t428)@,

GPT_Vuln-analyzer - Uses ChatGPT API And Python-Nmap Module To Use The GPT3 Model To Create Vulnerability Reports Based On Nmap Scan Data

This is a Proof Of Concept application that demostrates how AI can be used to generate accurate results for vulnerability analysis and also allows further utilization of the already super useful ChatGPT.

Requirements

• Python 3.10
• All the packages mentioned in the requirements.txt file
• OpenAi api

Usage

• First Change the "API__KEY" part of the code with OpenAI api key

openai.api_key = "__API__KEY" # Enter your API key

• second install the packages

pip3 install -r requirements.txt
or
pip install -r requirements.txt

• run the code python3 gpt_vuln.py <> or if windows run python gpt_vuln.py <>

Supported in both windows and linux

Understanding the code

Profiles:

The profile is the type of scan that will be executed by the nmap subprocess. The Ip or target will be provided via argparse. At first the custom nmap scan is run which has all the curcial arguments for the scan to continue. nextly the scan data is extracted from the huge pile of data which has been driven by nmap. the "scan" object has a list of sub data under "tcp" each labled according to the ports opened. once the data is extracted the data is sent to openai API davenci model via a prompt. the prompt specifically asks for an JSON output and the data also to be used in a certain manner.

The entire structure of request that has to be sent to the openai API is designed in the completion section of the Program.

def profile(ip):
    nm.scan('{}'.format(ip), arguments='-Pn -sS -sU -T4 -A -PE -PP -PS80,443 -PA3389 -PU40125 -PY -g 53 --script=vuln')
    json_data = nm.analyse_nmap_xml_scan()
    analize = json_data["scan"]
    # Prompt about what the quary is all about
    prompt = "do a vulnerability analysis of {} and return a vulnerabilty report in json".format(analize)
    # A structure for the request
    completion = openai.Completion.create(
        engine=model_engine,
        prompt=prompt,
        max_tokens=1024,
        n=1,
        stop=None,
    )
    response = completion.choices[0].text
    return response

Advantages

• Can be used in developing a more advanced systems completly made of the API and scanner combination
• Can increase the effectiveness of the final system
• Highly productive when working with models such as GPT3