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

MasterParser - Powerful DFIR Tool Designed For Analyzing And Parsing Linux Logs

What is MasterParser ?

MasterParser stands as a robust Digital Forensics and Incident Response tool meticulously crafted for the analysis of Linux logs within the var/log directory. Specifically designed to expedite the investigative process for security incidents on Linux systems, MasterParser adeptly scans supported logs, such as auth.log for example, extract critical details including SSH logins, user creations, event names, IP addresses and much more. The tool's generated summary presents this information in a clear and concise format, enhancing efficiency and accessibility for Incident Responders. Beyond its immediate utility for DFIR teams, MasterParser proves invaluable to the broader InfoSec and IT community, contributing significantly to the swift and comprehensive assessment of security events on Linux platforms.

MasterParser Wallpapers

Love MasterParser as much as we do? Dive into the fun and jazz up your screen with our exclusive MasterParser wallpaper! Click the link below and get ready to add a splash of excitement to your device! Download Wallpaper

Supported Logs Format

This is the list of supported log formats within the var/log directory that MasterParser can analyze. In future updates, MasterParser will support additional log formats for analysis. |Supported Log Formats List| | --- | | auth.log |

Feature & Log Format Requests:

If you wish to propose the addition of a new feature \ log format, kindly submit your request by creating an issue Click here to create a request

How To Use ?

How To Use - Text Guide

1. From this GitHub repository press on "<> Code" and then press on "Download ZIP".
2. From "MasterParser-main.zip" export the folder "MasterParser-main" to you Desktop.
3. Open a PowerSehll terminal and navigate to the "MasterParser-main" folder.

# How to navigate to "MasterParser-main" folder from the PS terminal
PS C:\> cd "C:\Users\user\Desktop\MasterParser-main\"

1. Now you can execute the tool, for example see the tool command menu, do this:

# How to show MasterParser menu
PS C:\Users\user\Desktop\MasterParser-main> .\MasterParser.ps1 -O Menu

1. To run the tool, put all your /var/log/* logs in to the 01-Logs folder, and execute the tool like this:

# How to run MasterParser
PS C:\Users\user\Desktop\MasterParser-main> .\MasterParser.ps1 -O Start

1. That's it, enjoy the tool!

How To Use - Video Guide

https://github.com/YosfanEilay/MasterParser/assets/132997318/d26b4b3f-7816-42c3-be7f-7ee3946a2c70

MasterParser Social Media Publications

MemTracer - Memory Scaner

MemTracer is a tool that offers live memory analysis capabilities, allowing digital forensic practitioners to discover and investigate stealthy attack traces hidden in memory. The MemTracer is implemented in Python language, aiming to detect reflectively loaded native .NET framework Dynamic-Link Library (DLL). This is achieved by looking for the following abnormal memory region’s characteristics:

• The state of memory pages flags in each memory region. Specifically, the MEM_COMMIT flag which is used to reserve memory pages for virtual memory use.
• The type of pages in the region. The MEM_MAPPED page type indicates that the memory pages within the region are mapped into the view of a section.
• The memory protection for the region. The PAGE_READWRITE protection to indicate that the memory region is readable and writable, which happens if Assembly.Load(byte[]) method is used to load a module into memory.
• The memory region contains a PE header.

The tool starts by scanning the running processes, and by analyzing the allocated memory regions characteristics to detect reflective DLL loading symptoms. Suspicious memory regions which are identified as DLL modules are dumped for further analysis and investigation.
Furthermore, the tool features the following options:

• Dump the compromised process.
• Export a JSON file that provides information about the compromised process, such as the process name, ID, path, size, and base address.
• Search for specific loaded module by name.

Example

python.exe memScanner.py [-h] [-r] [-m MODULE]
-h, --help show this help message and exit
-r, --reflectiveScan Looking for reflective DLL loading
-m MODULE, --module MODULE Looking for spcefic loaded DLL

The script needs administrator privileges in order incepect all processes.

Seekr - A Multi-Purpose OSINT Toolkit With A Neat Web-Interface

A multi-purpose toolkit for gathering and managing OSINT-Data with a neat web-interface.

Introduction

Seekr is a multi-purpose toolkit for gathering and managing OSINT-data with a sleek web interface. The backend is written in Go and offers a wide range of features for data collection, organization, and analysis. Whether you're a researcher, investigator, or just someone looking to gather information, seekr makes it easy to find and manage the data you need. Give it a try and see how it can streamline your OSINT workflow!

Check the wiki for setup guide, etc.

Why use seekr over my current tool ?

Seekr combines note taking and OSINT in one application. Seekr can be used alongside your current tools. Seekr is desingned with OSINT in mind and optimized for real world usecases.

Key features

• Database for OSINT targets
• GitHub to email
• Account cards for each person in the database
• Account discovery intigrating with the account cards
• Pre defined commonly used fields in the database

Getting Started - Installation

Windows

Download the latest exe here

Linux (stable)

Download the latest stable binary here

Linux (unstable)

To install seekr on linux simply run:

git clone https://github.com/seekr-osint/seekr
cd seekr
go run main.go

Now open the web interface in your browser of choice.

Run on NixOS

Seekr is build with NixOS in mind and therefore supports nix flakes. To run seekr on NixOS run following commands.

nix shell github:seekr-osint/seekr
seekr

Intigrating seekr into your current workflow

journey
	title How to Intigrate seekr into your current workflow.
	section Initial Research
		Create a person in seekr: 100: seekr
    Simple web research: 100: Known tools
		Account scan: 100: seekr
	section Deeper account investigation
		Investigate the accounts: 100: seekr, Known tools
		Keep notes: 100: seekr
  section Deeper Web research
    Deep web research: 100: Known tools
    Keep notes: 100: seekr
	section Finishing the report
		Export the person with seekr: 100: seekr
		Done.: 100

Feedback

We would love to hear from you. Tell us about your opinions on seekr. Where do we need to improve?... You can do this by just opeing up an issue or maybe even telling others in your blog or somewhere else about your experience.

Legal Disclaimer

This tool is intended for legitimate and lawful use only. It is provided for educational and research purposes, and should not be used for any illegal or malicious activities, including doxxing. Doxxing is the practice of researching and broadcasting private or identifying information about an individual, without their consent and can be illegal. The creators and contributors of this tool will not be held responsible for any misuse or damage caused by this tool. By using this tool, you agree to use it only for lawful purposes and to comply with all applicable laws and regulations. It is the responsibility of the user to ensure compliance with all relevant laws and regulations in the jurisdiction in which they operate. Misuse of this tool may result in criminal and/or civil prosecut ion.