This is a Nuxt.js 2 authentication module that provides zero-boilerplate authentication support. It implements various authentication schemes (local, OAuth2, OpenID Connect, refresh tokens) and integrates with popular providers like Auth0, Google, Facebook, and Laravel-based systems. The module handles token storage, automatic refresh, user management, and provides middleware for route protection. It uses a modular architecture with core auth logic, scheme implementations, provider configurations, and utility functions.
This repository provides the official browser language detection plugin for i18next. It implements a modular strategy pattern where each detector (cookie, querystring, localStorage, sessionStorage, navigator, htmlTag, path, subdomain, hash) is a self-contained module with a consistent interface. The main `Browser` class orchestrates detection by iterating through a configurable order of detectors, filters out XSS vectors, and optionally converts detected language codes. The code is well-structured, tested, and production-grade; the cookie detector in particular includes a robust RFC-compliant serialization function. Everything is browser-native with no heavy dependencies beyond i18next itself.
This repository is a JavaScript library providing a BroadcastChannel polyfill with leader election capabilities. It enables cross-tab/window/node-process communication through multiple fallback mechanisms (native BroadcastChannel, IndexedDB, localStorage, Node.js sockets, and a simulate method). The library implements leader election algorithms to coordinate multiple instances, ensuring only one acts as leader at a time. It supports diverse environments including old browsers, modern browsers, WebWorkers, Node.js, Deno, and iframes. The architecture centers around a core BroadcastChannel class with pluggable method implementations, a method chooser for fallback selection, and separate leader election utilities. Key entry points are the exported BroadcastChannel class and createLeaderElection function from src/index.js.
Knife is a feature-rich Burp Suite extension written in Java that enhances Burp's functionality through right-click context menus, automatic request modification, and additional message editor tabs. It provides tools for cookie management (update/set from history), header manipulation, host/scope additions, running external commands (SQLMap, Nmap) with request data as variables, chunked transfer encoding, URL discovery and fuzzing, Unicode-to-Chinese decoding, and information extraction (URLs, emails, IPs) from responses. The plugin uses a configurable rules engine stored as JSON to automatically add/replace/remove headers, drop or forward requests based on host/URL/keyword matches, and control scope via tool flag and URL pattern matching. Configuration is managed through a comprehensive GUI table. The codebase is well-organized with clear separation of concerns, though some deprecated classes remain. It relies on the Burp Extender API and several Apache and Google libraries.
AgentWeb is an Android WebView wrapper library that provides a fluent builder API (AgentWeb.with()) to configure and manage WebView instances with features like progress indicators, file upload, JavaScript bridge, video fullscreen, URL interception, and security controls. The architecture follows a modular design with core (agentweb-core), file chooser (agentweb-filechooser), and optional third-party downloader modules. Key architectural patterns include: builder pattern for configuration, middleware/decorator pattern for WebViewClient and WebChromeClient interceptor chains, and a reflection-based decoupling approach for the file chooser to avoid mandatory dependencies. The library abstracts common WebView pain points such as lifecycle handling, memory leaks, multi-process support, and device-specific bugs (e.g., Huawei, Android 5.0/5.1). The accompanying sample app demonstrates 20+ use cases including pull-to-refresh, VasSonic pre-rendering, IPC with separate processes, and custom indicators. The codebase shows strong engineering practices with clean separation of interfaces and default implementations, though it relies on some deprecated Android APIs and reflection that may require ongoing maintenance.
CF-Clearance-Scraper is a Python CLI tool designed to solve Cloudflare challenges (JavaScript, managed, and interactive) and extract the cf_clearance cookie for bypassing anti-bot protections. The application uses Zendriver for headless browser automation, dynamically generates realistic Chrome user agents, handles proxy authentication via CDP events, and provides output formats including raw cookies, cURL/Wget/aria2 commands, or JSON storage. The architecture is monolithic with a single entry point (main.py) featuring clean separation of concerns: argument parsing, browser orchestration, challenge detection/solving, and output formatting. Key strengths include robust user agent fallback mechanics and proxy handling, though the Cloudflare-solving logic is tightly coupled to Zendriver and challenge-specific heuristics.