AI Briefinguser-scanner: OSINT tool that automatically tracks email and username traces across 455 platforms
kaifcodec/user-scanner
About the project
By entering just one email address or username, it automatically collects digital footprints from over 455 platforms. Beyond simple account existence checks, it scrapes detailed metadata such as avatars, bios, follower counts, and UIDs, and provides pivot functionality to track secondary and tertiary targets based on links or aliases discovered in the initial scan.
It integrates with Hudson Rock's infostealer malware leak logs to instantly assess the security risk of a specific target. It maintains high concurrent processing speeds using httpx and curl_cffi, and includes built-in TLS fingerprint spoofing and proxy rotation features to reliably bypass blocks and perform large-scale scans.
It connects directly to AI agents such as Claude Desktop and Cursor via an MCP server. LLMs can autonomously execute OSINT scans, analyze results, and perform recursive pivots, making it suitable for building workflows that automate manual investigation processes. Results can be exported in PDF, JSON, and CSV formats for easy integration into existing pipelines.
kaifcodec/user-scanner
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction just from a single Email/Username. Analyzes 465+ actively maintained scan vectors (175+ email / 290+ username) for security research, investigations, and digital footprinting.
Python
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