Open Source Mac Browser Fingerprinting Software
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Browser Fingerprinting Software for Mac
View 991 business solutionsBrowse free open source Browser Fingerprinting software and projects for Mac below. Use the toggles on the left to filter open source Browser Fingerprinting software by OS, license, language, programming language, and project status.
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Kameleo
Anti-detect browser for web scraping and automation
Kameleo is an anti-detect browser platform designed for web scraping, browser automation, and managing isolated browsing profiles. It modifies browser fingerprints at the engine level to reduce automated browser identification. The software supports Chromium-based Chroma and Firefox-based Junglefox engines with regularly updated browser versions. Users can create persistent profiles that retain cookies, sessions, and customized fingerprint configurations. It offers mobile browser emulation for Android and iOS device profiles. Proxy integration supports HTTP, HTTPS, SOCKS5, and SSH connections with location-aware settings. Kameleo also integrates with Selenium, Playwright, and Puppeteer through developer SDKs. Its self-hosted architecture supports Docker containers and automated browser deployments. -
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ShardBrowser
Free, open-source anti-detect browser launcher for web scraping
ShardBrowser is an open-source anti-detect browser launcher designed for web scraping, browser automation, and multi-account management. It uses a modified Chromium engine to manage browser fingerprints at the rendering and networking levels. Users can create isolated profiles with persistent sessions, separate cookies, and customizable device identities. Its fingerprint library includes more than 220 device profiles covering Windows, macOS, Linux, and Android. Integrated proxy management supports SOCKS5, HTTP, and HTTPS connections with automatic geographic settings. Advanced networking includes QUIC, HTTP/3, and WebRTC traffic over SOCKS5 UDP. Developers can automate profiles through a local HTTP API, MCP server, and Python, Node.js, or Rust SDKs. Additional capabilities include synchronized windows and self-hosted team profile sharing. -
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Fingerprint Pro Server Python SDK
Python SDK for Fingerprint Pro Server API
Fingerprint Pro Server API allows you to get information about visitors and about individual events in a server environment. It can be used for data exports, decision-making, and data analysis scenarios. Server API is intended for server-side usage, it's not intended to be used from the client side, whether it's a browser or a mobile device. -
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Fingerprint Pro Azure Integration
Proxying identification and JavaScript agent download requests
Fingerprint Pro Azure Integration is responsible for proxying download requests of the latest Fingerprint Pro JS Agent between your site and Fingerprint CDN. Proxying identification requests and responses between your site and Fingerprint Pro API. This improves both accurancy and reliability of visitor identification and bot detection on your site. -
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Fingerprint Pro Server API Java SDK
Java SDK for Fingerprint Pro Server API
Fingerprint Pro Server API provides a way for validating visitors’ data issued by Fingerprint Pro. -
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Fingerprint Pro Server API PHP SDK
PHP SDK for Fingerprint Pro Server API
Fingerprint Pro Server API allows you to get information about visitors and about individual events in a server environment. It can be used for data exports, decision-making, and data analysis scenarios. Server API is intended for server-side usage, it's not intended to be used from the client side, whether it's a browser or a mobile device. -
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Fingerprint Pro Server Go SDK
Go SDK for Fingerprint Pro Server API
Fingerprint Pro Server API allows you to get information about visitors and about individual events in a server environment. It can be used for data exports, decision-making, and data analysis scenarios. Server API is intended for server-side usage, it's not intended to be used from the client side, whether it's a browser or a mobile device. -
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FingerprintJS
Browser fingerprinting library
FingerprintJS is a source-available, client-side, browser fingerprinting library that queries browser attributes and computes a hashed visitor identifier from them. Unlike cookies and local storage, a fingerprint stays the same in incognito/private mode and even when browser data is purged. Since FingerprintJS processes and generates the fingerprints from within the browser itself, the accuracy is limited (40% - 60%). For example, when 2 different users send requests using identical (i.e. same version, same vendor, same platform), browsers, FingerprintJS will not be able to tell these two browsers apart, primarily because the attribitutes from these browsers will be identical. Fingerprint Identification is a closed-source, commercial device identification product designed for fraud detection, device identification, marketing attribution, and analytics. -
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FingerprintJS Server API Node.js SDK
Node.js wrapper for FingerprintJS Server API
Node.js wrapper for FingerprintJS Server API. This SDK might be also compatible, however not actively tested, with JavaScript "edge" runtimes that do not support all Node APIs, for example, Vercel Edge Runtime, or Cloudflare Workers. To make it work, replace the SDK's built-in fetch function (which relies on Node APIs) with the runtime's native fetch function. -
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FingerprintPro.ServerSdk
C#/Dotnet SDK for Fingerprint Pro Server API
Fingerprint Pro Server API allows you to get information about visitors and about individual events in a server environment. It can be used for data exports, decision-making, and data analysis scenarios. Server API is intended for server-side usage, it's not intended to be used from the client side, whether it's a browser or a mobile device. -
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Nothing Private
A proof of concept that any website can identify and track you
This project is a proof of concept that any website can identify and track you, even if you are using private browsing or incognito mode in your web browser. Many people think that they can hide their identity if they are using private browsing or incognito mode. This project will prove that they are wrong. -
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OP Fingerprinting Script (OPFS)
An overpowered JavaScript browser fingerprinting library
OPFS is a browser fingerprinting library for creating persistent, unique and long-lasting digital fingerprints without depending on ever-changing variables such as the user agent string commonly used in other browser fingerprinting libraries. As such, the fingerprint does not change most of the time when a user upgrades their browser to the current version. OPFS uses some novel methods not well known before the publishing of this repo that allow the creation of a likely completely unique device fingerprint in Google Chrome, Microsoft Edge and other Chromium-based browsers. This also applies to Firefox as long as it is not resisting fingerprinting. The library is able to detect and mitigate the effects of browser-based anti-fingerprinting technologies introduced to certain browsers in the past few years with the release of Brave Browser and Safari 13. -
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Supercookie
Browser fingerprinting via favicon!
Supercookie uses favicons to assign a unique identifier to website visitors. Unlike traditional tracking methods, this ID can be stored almost persistently and cannot be easily cleared by the user. The tracking method works even in the browser's incognito mode and is not cleared by flushing the cache, closing the browser or restarting the operating system, using a VPN or installing AdBlockers. The demo of "supercookie", as well as the publication of the source code of this repository, is intended to draw attention to the problem of tracking possibilities using favicons. Modern browsers offer a wide range of features to improve and simplify the user experience. One of these features are the so-called favicons: A favicon is a small (usually 16×16 or 32×32 pixels) logo used by web browsers to brand a website in a recognizable way. Favicons are usually shown by most browsers in the address bar and next to the page's name in a list of bookmarks. -
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ThumbmarkJS
World's fastest growing browser fingerprinting library
ThumbmarkJS is a free, commercially usable, open-source browser fingerprinting library. With over 1 million monthly NPM downloads it is the worlds fastest growing browser fingerprinting library - currently processing roughly 1 billion identifications per month. Using signals like canvas, audio, fonts, and WebGL, ThumbmarkJS generates a stable, persistent fingerprint with ~80% uniqueness that works across sessions, even in private/incognito browsing or after a cleared cache. Install client-side only via CDN or npm, or connect the optional hosted API to boost uniqueness to ~99%. -
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phantomcollect
Advanced web data collection and device fingerprinting framework
PhantomCollect is an advanced educational web data collection framework built for ethical cybersecurity research and privacy analysis. It runs a local web server that collects general technical data from visitors — such as IP, geolocation (with consent), device specs, browser info, network status, and battery level — and displays results in real time through the terminal interface. Designed for security researchers and developers, it demonstrates how modern tracking scripts and digital fingerprinting techniques work within a safe, transparent environment. For educational and authorized testing only. Misuse is strictly prohibited.
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