Hacking Android 2026
Hacking Android 2026
very useful book for starting hacker with full tools and tutorials

Chapter 1:Setting up the Lab
Chapter 2: Android Rooting
Chapter 3:Fundamental Building Blocks of  android apps
Chapter 4:Overview of Attacking Android Apps
Chapter 5ata Storage And its Security

Chapter 6:Server Side Attacks
Chapter 7:Client Side Attack Static Analysis Techniques
Chapter 8:Client Side Attack Dynamic Analysis Techniques
Chapter 9:Android Malware
Chapter 10:Attacks on Android Devices

nordvpn-linux
nordvpn-linux
NORDVPN PREMIUM ACCS TILL 2029 |WITH DEDICATED IP | NORDVPN

The NordVPN Linux application provides a simple and user-friendly command line interface for accessing all the different features of NordVPN. Users can choose from a list of server locations around the world, or let the application automatically select the best server for them. They can also customize their connection settings, such as choosing a specific protocol or enabling the kill switch feature.

The application manages:

network interfaces with the help of tuntap kernel interface,
firewall with the help of iptables,
routing with the help of iproute2 and
DNS with the help of systemd-resolved.

Versioning

The project follows . Version tags and release branches must be named accordingly.

Contributing

We are happy to accept contributions for the project. Please check out Contribute.md file for more details on how to do so.

Building

You can find everything related to building, testing and environment setup in BUILD.md.

Installing

For installing an already released version please follow the instructions on our official page.

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Solana-Drainer-Tool
SOL Drainer
Solana Network Security Research Tool
Educational • Isolated • Analytical • Secure
Research Overview
SOL Drainer is a specialized educational utility designed for security research and vulnerability assessment on the Solana network, assisting developers in understanding wallet security mechanisms.
Core Research Features Security Analysis
Wallet Vulnerability Testing: Educational assessment only
Transaction Security Research: Smart contract analysis
Network Threat Identification: Theoretical vulnerability study
Risk Evaluation: Academic security reporting
Safety Protocols
Complete testnet isolation
No mainnet connectivity
Educational simulation mode
Detailed research documentation

Critical Legal Notice

STRICT WARNING: This tool is provided EXCLUSIVELY FOR ACADEMIC RESEARCH AND EDUCATIONAL PURPOSES. Any use outside isolated testnet environments with test tokens is strictly prohibited. Users must adhere to all applicable laws and ethical guidelines. Never use on mainnet or with real assets.

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VPN-Speed-Comparison-Tool
VPN Speed Comparison Tool
This is a tool, written in Python, for assessing network speed over VPN connections.
It is composed of two main parts: the daemon, which is invoked using the vpnspeedd command, and the client, which is invoked using the vpnspeed command. The daemon awaits instructions from the client and executes the given tests in the background. The client controls the test configuration and daemon life-cycle.
Detailed whitepaper with the methodology can be found here: Dependencies:
apt-transport-https 
ca-certificates 
curl 
docker-ce 
docker-compose 
git 
gnupg 
jq 
python3-dev 
python3-pip 
python3-setuptools 
python3-wheel 
python3-yaml 
software-properties-common 
wireguard 
Notes:
Test can be started by running scripts/setup.sh, which will install all dependencies.
This project was build and mainly tested using debian 10, other distribution of debian can be incompatible.
IP geolocation
For test execution ip geoservice is needed. In this project ipapi.co was selected.

Usage

First, clone the repository with the following command:

$ git clone

After cloning the repository and before starting the testing process, edit the configuration file to add VPN provider credentials and further customize test execution.

$ vi vpnspeed.yaml

Run using scripts/setup.sh

$ sudo ./scripts/setup.sh

Note:

Adding --dry-run to setup.sh will only install, but not start test with configuration.

$ sudo scripts/setup.sh --dry-run`

Local - manually

To run the tests locally, run the following commands in the project root. The following commands will start a docker container, start the vpnspeedd daemon on it and leave it running in the background:

$ cd ./docker

$ docker-compose up -d

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Spam_Mail_Prediction_using_Machine_Learning
Spam Mail Prediction Web App
This repository contains a web application that predicts whether an email is spam or not using a Logistic Regression model. The application is built with a user-friendly interface and offers real-time predictions based on the email content.
Overview
pam emails are a major issue in digital communication, causing various problems ranging from minor annoyances to severe security threats. This project aims to develop a solution to detect spam emails effectively using machine learning techniques. The application preprocesses email text using TF-IDF vectorization and classifies it with a Logistic Regression model.
Dataset
The dataset used for training the model consists of a collection of emails labeled as spam or not spam. The data has been preprocessed to remove noise and irrelevant information.

Results

The model achieves high accuracy in predicting spam emails, with key metrics as follows:

Accuracy: 96.59% These results demonstrate the model's effectiveness in distinguishing between spam and non-spam emails.

Conclusion

This project successfully demonstrates the use of machine learning for spam email detection. The Logistic Regression model, combined with TF-IDF vectorization, provides a reliable solution for predicting spam emails. Future improvements could include testing with larger datasets, experimenting with different models, and enhancing the web application's features.

Contributing

Contributions are welcome! If you have any suggestions or improvements, please create a pull request or open an issue.

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ROBLOX  ACCOUNT CHECKER  CAPTURE
roblox-username-checker
Multi-threaded Roblox Username Checker using the official Roblox API. Handles rate-limits and etc. Don't leech, feel free to fork.
This program will create a folder named "valids" and automatically append/create text-files for each amount of characters.
Feel free to improve it and use this code as a base. Although credit for any project wether open-source or closed-source would be appreciated. It's really nothing special. It's just a web request spammer made by someone with no python knowledge.
How to run
1. Download/Clone repository
2. Extract/Open
3. Open cmd/powershell/terminal
4. pip install -r requirements.txt
4. Run: python main.py

It takes the following:

Username length [INT]

Allow numbers [Y/N]

Allow underscores [Y/N]

Number of valid usernames [INT]

Amount of threads to use [INT]

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VPN-Speed-Comparison-Tool
VPN Speed Comparison Tool
This is a tool, written in Python, for assessing network speed over VPN connections.
It is composed of two main parts: the daemon, which is invoked using the vpnspeedd command, and the client, which is invoked using the vpnspeed command. The daemon awaits instructions from the client and executes the given tests in the background. The client controls the test configuration and daemon life-cycle.
Detailed whitepaper with the methodology can be found here: Dependencies:
apt-transport-https 
ca-certificates 
curl 
docker-ce 
docker-compose 
git 
gnupg 
jq 
python3-dev 
python3-pip 
python3-setuptools 
python3-wheel 
python3-yaml 
software-properties-common 
wireguard 
Notes:
Test can be started by running scripts/setup.sh, which will install all dependencies.
This project was build and mainly tested using debian 10, other distribution of debian can be incompatible.
IP geolocation
For test execution ip geoservice is needed. In this project ipapi.co was selected.

Usage

First, clone the repository with the following command:

$ git clone

After cloning the repository and before starting the testing process, edit the configuration file to add VPN provider credentials and further customize test execution.

$ vi vpnspeed.yaml

Run using scripts/setup.sh

$ sudo ./scripts/setup.sh

Note:

Adding --dry-run to setup.sh will only install, but not start test with configuration.

$ sudo scripts/setup.sh --dry-run`

Local - manually

To run the tests locally, run the following commands in the project root. The following commands will start a docker container, start the vpnspeedd daemon on it and leave it running in the background:

$ cd ./docker

$ docker-compose up -d

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ZsTeal Stealer 2026 – Technical Analysis of a Modern Infostealer Malware

Introduction
The cybersecurity landscape continues to evolve as information-stealing malware (infostealers) become more advanced and widespread. These malicious programs are specifically designed to extract sensitive data from infected systems, including credentials, browser data, financial information, and cryptocurrency wallets.

Infostealers are considered a serious cybersecurity threat because they silently collect personal data and send it to attackers for financial fraud, identity theft, and account hijacking. Many modern stealers target browser cookies and stored credentials, enabling attackers to access accounts without knowing the password. (CyberDesserts)

This article provides a detailed technical overview of ZsTeal Stealer 2026, its capabilities, targeted platforms, and the risks it poses to users and organizations.

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Discord Token Grabber Builder
Discord Token Grabber Builder?

Features

Custom Name
Custom Icon
Add customizable fake error message
Hidden console(grab discord tokens in the background)?
Download

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atomic-email-bomb-main
Atomic-Email-Bomb
This is a tool for flooding an email address with many emails.

Disclaimer
No creator may be held liable for any consequence of this tool's usage. Please note that this is all for fun and games and should not be used for malicious purposes. Using email bombers for harassment or denial-of-service attacks is unethical and illegal; we do not condone that in any way.

Installation
Use the package manager pip to install the necessary dependencies.
pip3 install -r requirements.txt
Update the accounts.txt file with Gmail account(s) that have NFA and enabled access to less secure apps following the defined format.

Usage

Arguments must be passed by running the program via the CLI. For example,

python3 bomb.py [email protected] 500 "subject" "body"

The last two arguments are not necessary; if they are not included, the subject and body will auto-generate. If one of the two is included, the other must be also.

Notes

By default, Gmail accounts have a sending limit of 500 emails per day. Gmail Workspace (formerly G Suite) accounts have a sending limit of 2000 emails per day.

If Gmail detects the email bomber, sending from that account may be temporarily paused; use at your own risk.

License

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