#javascript #audio_fingerprinting #detection #fingerprint #fraud #fraud_detection #identification

https://github.com/Valve/fingerprintjs2

#typescript #audio_fingerprinting #browser #browser_fingerprint #browser_fingerprinting #detection #fingerprint #fingerprinting #fingerprintjs #fraud #fraud_detection #identification #javascript #visitor_identifier

FingerprintJS is a tool that helps identify website visitors by collecting and hashing browser attributes. It works even in incognito or private browsing modes and when browser data is cleared. This means you can track visitors more reliably than with cookies or local storage. However, it has limited accuracy (40-60%) because it relies on browser attributes that might be the same for different users. For higher accuracy (99.5%), you can use Fingerprint Identification, a commercial version that processes data on the server and includes more detailed information like IP addresses and visit patterns. This makes it better for preventing fraud and improving user experiences.

https://github.com/fingerprintjs/fingerprintjs

#javascript #bugbounty #exploit_development #exploits #fingerprint #hacktoberfest #nuclei #nuclei_checks #nuclei_templates #security #vulnerability_detection

Nuclei Templates are pre-made scripts used by the Nuclei scanner to find security vulnerabilities in applications. These templates are created and shared by a community of users, making it easier for everyone to identify and fix security issues. You can contribute your own templates, report bugs, or request new features, which helps grow the library of available templates. This community-driven approach ensures that the scanner stays updated and effective, benefiting users by providing a robust tool for enhancing application security. You can also join discussions on GitHub or the Discord community to learn more and share ideas.

https://github.com/projectdiscovery/nuclei-templates

#go #brute_force #bruteforce #exploit #fingerprint #pentest #red_team #redteam #scanner #security #webscan

Kscan is a powerful and lightweight scanner tool developed in Go. It offers several key features that benefit users Kscan can perform port scanning, protocol detection, fingerprint recognition, and brute-force cracking.
- **Versatile Input** Unlike other tools, Kscan prioritizes accuracy and comprehensiveness over speed, ensuring high-quality protocol and application layer identification.
- **Multiple Modes** Users can customize settings like proxy usage, thread count, and output formats to suit their needs.

Overall, Kscan provides a robust and flexible tool for security professionals and learners to conduct thorough scans and detections efficiently.

https://github.com/lcvvvv/kscan