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Server Mining Pool
An Android spyware which interacts with a remote C&C server to exfiltrate phone data
Scripts to create your own MITM'ing, packet sniffing WiFi access point
An SNMPv3 User Enumerator and Attack tool
The Social-Engineer Toolkit (SET) repository from TrustedSec - All new versions of SET will be deployed here.
A SOCKS (SOCKS4, SOCKS4A and SOCKS5) Proxy Package for Go
socks5 proxy server in C
🚀 Websocket based trading bot for 💰cryptocurrencies 📈
A framework for identifying and launching exploits against internal network hosts. Works via WebRTC IP enumeration combined with WebSockets and external resource fingerprinting.
Protocol specifications for various algorithms used @ NiceHash
Proof of Concept - Spectre
Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].
A very fast whois crawler
Easily spoof your MAC address in macOS, Windows, & Linux!
Golang/gopath example for spoofing UDP source IP addresses
sqli_dorker v1.0.8
A Simple Multi-Threaded SSH Brute Forcer
Simple SSH server that serves anonymous git repositories (read-only)
SSH man-in-the-middle tool
ssh mitm server for security audits supporting public key authentication, session hijacking and file manipulation
this app can brute force with ip list pass list and user list for me use to connect to any mikrotik and run a command and exit i controll all mikrotik os
brute force SSH public-key authentication
SSH for Ninjas
ssh bruter
A password brute forcer for the SSH protocol
ssh brute force
Tiny Golang SSH Bruter developed based on https://github.com/pH-T/brutessh
Run VS Code on any server over SSH.
It's the C version of https://github.com/mthbernardes/sshLooter
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.