Search Results for "penetration testing linux" - Page 17
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Showing 667 open source projects for "penetration testing linux"
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proofs
Only proofs and tests
Only proofs and tests... -
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Coach
Enables easy experimentation with state of the art algorithms
Coach is a python framework that models the interaction between an agent and an environment in a modular way. With Coach, it is possible to model an agent by combining various building blocks, and training the agent on multiple environments. The available environments allow testing the agent in different fields such as robotics, autonomous driving, games and more. It exposes a set of easy-to-use APIs for experimenting with new RL algorithms and allows simple integration of new environments... -
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TestLink-API-Python-client
Python XML-RPC client for TestLink
TestLink-API-Python-client is a Python XML-RPC client for TestLink Initially based on James Stock testlink-api-python-client R7 and Olivier Renault JinFeng idea - an interaction of TestLink, Robot Framework and Jenkins. TestLink-API-Python-client delivers two main classes - TestlinkAPIGeneric - Implements the Testlink API methods as generic PY methods with error handling - TestlinkAPIClient - Inherits from TestlinkAPIGeneric and defines service methods like "copyTCnewVersion" and... -
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RefineNet
RefineNet: Multi-Path Refinement Networks
RefineNet is a MATLAB-based framework for semantic image segmentation and general dense prediction tasks. It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets. It provides trained models for datasets... -
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CakeChat
CakeChat: Emotional Generative Dialog System
CakeChat is a backend for chatbots that are able to express emotions via conversations. The code is flexible and allows to condition model's responses by an arbitrary categorical variable. For example, you can train your own persona-based neural conversational model or create an emotional chatting machine. Hierarchical Recurrent Encoder-Decoder (HRED) architecture for handling deep dialog context. Multilayer RNN with GRU cells. The first layer of the utterance-level encoder is always... -
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TGAN
Generative adversarial training for generating synthetic tabular data
We are happy to announce that our new model for synthetic data called CTGAN is open-sourced. The new model is simpler and gives better performance on many datasets. TGAN is a tabular data synthesizer. It can generate fully synthetic data from real data. Currently, TGAN can generate numerical columns and categorical columns. TGAN has been developed and runs on Python 3.5, 3.6 and 3.7. Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid... -
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WiFi-Pumpkin
WiFi-Pumpkin - Framework for Rogue Wi-Fi Access Point Attack
The WiFi-Pumpkin is a rogue AP framework to easily create these fake networks, all while forwarding legitimate traffic to and from the unsuspecting target. It comes stuffed with features, including rogue Wi-Fi access points, deauth attacks on client APs, a probe request and credentials monitor, transparent proxy, Windows update attack, phishing manager, ARP Poisoning, DNS Spoofing, Pumpkin-Proxy, and image capture on the fly. moreover, the WiFi-Pumpkin is a very complete framework for... -
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PythonQt
Dynamic Python binding for Qt Applications
NOTE: PythonQt has been moved to https://github.com/MeVisLab/pythonqt PythonQt is a dynamic and lightweight script binding of the Qt framework to the Python language. It can be easily embedded into Qt applications and makes any QObject derived object scriptable via Python without the need of wrapper code generation. -
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RouterSploit
Exploitation Framework for Embedded Devices
RouterSploit is an open-source exploitation framework focused on embedded devices such as routers, cameras, and IoT gadgets. It offers modules for exploits, scanners, and credentials testing, making it a valuable tool for security professionals and researchers. Inspired by Metasploit, it provides a CLI for executing attacks, testing device vulnerabilities, and simulating real-world exploitation scenarios in a legal and ethical manner. -
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Dr0p1t-Framework
A framework that create an advanced stealthy dropper
Dr0p1t-Framework is a penetration testing tool designed to generate advanced and stealthy droppers capable of delivering and executing payloads on target systems while evading detection mechanisms. A dropper is a type of malware used to download and install additional malicious software, and this framework focuses on making that process more flexible and difficult to detect. -
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TensorImage
Image classification library for easily training and deploying models
(Visit our github repository at https://github.com/TensorImage/tensorimage for more information) TensorImage is and open source package for image classification. It has a wide range of data augmentation operations that can be performed over training data to prevent overfitting and increase testing accuracy. TensorImage is easy to use and manage as all files, trained models and data are organized within a workspace directory, which you can change at any time in the configuration file,... -
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Python ADB
Python ADB + Fastboot implementation
python-adb provides a pure-Python implementation of the Android Debug Bridge protocol so you can script Android devices without depending on the platform adb binary. It exposes high-level helpers for device discovery, shell commands, file push/pull, port forwarding, and log collection, making it easy to build automation around phones and emulators. Under the hood it speaks the ADB protocol directly and can connect via USB or over TCP, which is useful for lab setups and headless servers.... -
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pyUrlMin
Ultra-minimalist Python/Mongo URL Shortner
With as little code as possible, this micro-app creates shortened URLs, stores them in MongoDB using the Flask framework. Currently in use on https://findmate.app and http://urltools.io/ HOWEVER: This should not really be used in a high-volume production environment and should really be used for educational purposes only. I assume no liability for mis-use of this app, use it at your own risk. There are potentially security issues, so be forewarned that this is just for TESTING only. -
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SpoofMAC
Change your MAC address for debugging
SpoofMAC is a command-line utility for changing and restoring MAC addresses on network interfaces in Linux and macOS systems. The project allows users to randomize or manually configure MAC addresses to improve privacy, testing flexibility, or network anonymity in various environments. It automates low-level networking commands and provides a user-friendly interface for managing interface states and address changes safely. SpoofMAC is commonly used for privacy protection on public networks, penetration testing workflows, and network simulation environments where MAC address manipulation is required. ... -
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RCPnet
A multi-tool for network pen-testing written in python.
A multi-tool for network pen-testing written in python. It contains effective ping functions, hostname traceroute, and cloudflare detection. This is a modification from the FoxNuke Project, which only intended to be a DOS tool for network pen testing. Contact me [main admin] at leyvarosnel@gmail.com -
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Zeus Scanner
Advanced reconnaissance utility
...Zeus-Scanner includes checks for issues such as XSS, SQL injection, clickjacking, exposed admin panels, port scanning, whois lookup, and header protection. It is most useful for penetration testers and researchers who need a broad reconnaissance toolkit, though its older Python 2-style setup makes environment compatibility important. -
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iSCSIsim is a powerful generic test tool for iSCSI targets. Its capabilities include SCSI command injection, error insertion, and recovery testing: all with built-in validation of test results.
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TEACUP
TCP Experiment Automation Controlled Using Python
TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP... -
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pydictor
powerful and useful hacker dictionary builder for a brute-force attack
A powerful and useful hacker dictionary builder for a brute-force attack. You can use pydictor to generate a general blast wordlist, a custom wordlist based on Web content, a social engineering wordlist, and so on; You can use the pydictor built-in tool to safe delete, merge, unique, merge and unique, count word frequency to filter the wordlist, besides, you also can specify your wordlist and use '-tool handler' to filter your wordlist. You can generate highly customized and complex... -
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BlockSparse
Efficient GPU kernels for block-sparse matrix multiplication
The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse... -
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Microblog
Microblogging application developed in my Flask Mega-Tutorial series
Microblog is a Flask-based social blogging application that serves as the companion example project to the author’s Flask tutorial book, demonstrating how to build a production-ready web application with features typical of modern social systems. The project includes user registration and login, password hashing, profile editing, and avatar support, but it goes deeper by illustrating how to implement following/follower relationships, posting short messages, and displaying personalized feeds.... -
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A Complete Beginner's Guide to Django
A Complete Beginner's Guide to Django - Code Samples
Code samples from the Django tutorial series. I’m starting a new tutorial series about Django fundamentals. It’s a complete beginner’s guide to start learning Django. The material is divided into seven parts. We’re going to explore all the basic concepts in great detail, from installation, and preparation of the development environment, models, views, templates, URLs to more advanced topics such as migrations, testing, and deployment. I wanted to do something different. A tutorial that would... -
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Type-Master
Simple Application for testing and improving typing speed.
In a world of tech, typing speed matters a lot. Type Master is a small open source program that aims to improve typing speed and also typing habits and leads/teach you to be a touch typist underneath the application 5 prose are available to choose from and 3 time modes are available. Picture representation of hand which will aid in which finger to use. -
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cnn-benchmarks
Benchmarks for popular CNN models
The cnn-benchmarks project is a collection of benchmarking scripts designed to evaluate the performance of convolutional neural networks across different hardware and configurations. It provides standardized implementations of popular CNN architectures, enabling developers to measure training speed, memory usage, and computational efficiency. The project focuses on reproducibility, allowing consistent comparisons between models and environments. It is particularly useful for testing GPUs and... -
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Chronological Cohesive Units
The experimental source code for the paper
The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming"
