Version 1.7 of prot-distro-nethunter is out
https://www.reddit.com/r/Pentesting/comments/1d9cve2/version_17_of_protdistronethunter_is_out/

<!-- SC_OFF -->The proot-distro-nethunter is a powerful Bash script designed to effortlessly integrate Kali NetHunter This enables users to deploy multiple NetHunter instances with customized toolsets, akin to managing multiple containers in Docker. Whether you're a cybersecurity professional or an enthusiast, this installer streamlines the setup process, saving time and effort. <!-- SC_ON --> submitted by /u/sagarbiswas1 (https://www.reddit.com/user/sagarbiswas1)
[link] (https://github.com/sagar040/proot-distro-nethunter) [comments] (https://www.reddit.com/r/Pentesting/comments/1d9cve2/version_17_of_protdistronethunter_is_out/)

Scope Sentry is a tool with functions such as asset mapping…

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Decimal x Securr

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Scope Sentry is a tool with functions such as asset mapping…
https://medium.com/@Autumn52/scope-sentry-is-a-tool-with-functions-such-as-asset-mapping-fe0af70ace0a?source=rss------bug_bounty-5

WebsiteContinue reading on Medium » (https://medium.com/@Autumn52/scope-sentry-is-a-tool-with-functions-such-as-asset-mapping-fe0af70ace0a?source=rss------bug_bounty-5)

Decimal x Securr
https://decimalchain.medium.com/decimal-x-securr-96114c277d70?source=rss------bug_bounty-5

Decimal x SecurrContinue reading on Medium » (https://decimalchain.medium.com/decimal-x-securr-96114c277d70?source=rss------bug_bounty-5)

Securing the Future: Understanding Vulnerabilities in Large Language Models

In the rapidly advancing world of artificial intelligence, Large Language Models (LLMs) totally stands out as these technologies offer…Continue reading on Medium »
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Securing the Future: Understanding Vulnerabilities in Large Language Models
https://medium.com/@tusharsaini484/securing-the-future-understanding-vulnerabilities-in-large-language-models-13bbfeac95cf?source=rss------bug_bounty-5

In the rapidly advancing world of artificial intelligence, Large Language Models (LLMs) totally stands out as these technologies offer…Continue reading on Medium » (https://medium.com/@tusharsaini484/securing-the-future-understanding-vulnerabilities-in-large-language-models-13bbfeac95cf?source=rss------bug_bounty-5)

Thief Raccoon - Login Phishing Tool
http://www.kitploit.com/2024/06/thief-raccoon-login-phishing-tool.html

Thief Raccoon is a tool designed for educational purposes to demonstrate how phishing (https://www.kitploit.com/search/label/Phishing) attacks can be conducted on various operating systems. This tool is intended to raise awareness about cybersecurity (https://www.kitploit.com/search/label/Cybersecurity) threats and help users understand the importance of security measures like 2FA and password management.
Features Phishing simulation for Windows 10, Windows 11, Windows XP, Windows Server, Ubuntu, Ubuntu Server, and macOS. Capture user credentials for educational demonstrations. Customizable login screens that mimic real operating systems. Full-screen mode to enhance the phishing simulation. Installation Prerequisites Python 3.x pip (Python package installer) ngrok (for exposing the local server to the internet) Download and Install Clone the repository: ```bash git clone https://github.com/davenisc/thief_raccoon.git cd thief_raccoon Install python venv ```bash apt install python (https://www.kitploit.com/search/label/Python)3.11-venv Create venv: ```bash python -m venv raccoon_venv source raccoon_venv/bin/activate Install the required libraries: ```bash pip install -r requirements.txt Usage Run the main script: ```bash python app.py Select the operating system for the phishing simulation: After running the script, you will be presented with a menu to select the operating system. Enter the number corresponding to the OS you want to simulate. Access the phishing page: If you are on the same local network (LAN), open your web browser and navigate to http://127.0.0.1:5000. If you want to make the phishing page accessible over the internet, use ngrok. Using ngrok Download and install ngrok Download ngrok from ngrok.com and follow the installation instructions for your operating system. Expose your local server to the internet: Get the public URL: After running the above command, ngrok will provide you with a public URL. Share this URL with your test subjects to access the phishing page over the internet. How to install Ngrok on Linux? Install ngrok via Apt with the following command: ```bash curl -s https://ngrok-agent.s3.amazonaws.com/ngrok.asc \ | sudo tee /etc/apt/trusted.gpg.d/ngrok.asc >/dev/null \ && echo "deb https://ngrok-agent.s3.amazonaws.com buster (https://www.kitploit.com/search/label/Buster) main" \ | sudo tee /etc/apt/sources.list.d/ngrok.list \ && sudo apt update \ && sudo apt install ngrok Run the following command to add your authtoken to the default ngrok.yml ```bash ngrok config add-authtoken xxxxxxxxx--your-token-xxxxxxxxxxxxxx Deploy your app online Put your app online at ephemeral domain Forwarding to your upstream service. For example, if it is listening on port http://localhost:8080, run: ```bash ngrok http http://localhost:5000 Example Run the main script: ```bash python app.py Select Windows 11 from the menu: ```bash Select the operating system for phishing: 1. Windows (https://www.kitploit.com/search/label/Windows) 10 2. Windows (https://www.kitploit.com/search/label/Windows) 11 3. Windows (https://www.kitploit.com/search/label/Windows) XP 4. Windows (https://www.kitploit.com/search/label/Windows) Server 5. Ubuntu 6. Ubuntu Server 7. macOS Enter the number of your choice: 2 Access the phishing page: Open your browser and go to http://127.0.0.1:5000 or the ngrok public URL. Disclaimer This tool is intended for educational purposes only. The author is not responsible for any misuse of this tool. Always obtain explicit permission from the owner of the system before conducting any phishing tests. License This project is licensed under the MIT License. See the LICENSE file for details. ScreenShots