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View All on GitHub🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
AI Summary: This GitHub issue requests the creation of a new Python module, `zhihu.py`, to validate Zhihu usernames. The module should be placed in `user_scanner/user_scan/social/` and utilize a specific Zhihu API endpoint (`https://api.zhihu.com/books/people/{username}/publications`) for validation. Contributors are instructed to analyze the JSON response to identify successful user data (e.g., specific keys) versus non-existent accounts (e.g., error objects like "NotFoundException"), primarily using `generic_validate()` with a `process` callback.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
AI Summary: This issue aims to enhance the readability of URLs in the console output when running a verbose scan. Currently, the entire output line is colored based on the scan status, making URLs hard to distinguish. The proposed solution is to display the URL and its surrounding brackets in white, while the rest of the line retains its status-based color.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
AI Summary: The `user-scanner` tool fails to validate emails on Mastodon, reporting a 302 status code as an error during the `email_scan` process. This issue suggests the tool might not be correctly handling HTTP redirects, or Mastodon's signup API behavior has changed, leading to an unexpected redirection. The fix requires investigating the 302 response to determine its cause and adjusting the scanner's request handling or response interpretation.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
AI Summary: This GitHub issue requests the addition of a validator for Substack creator usernames or publication handles. The goal is to verify the existence of a Substack publication by constructing a URL like `https://{username}.substack.com/` and checking for 404 or error pages. The implementation involves creating a new Python file and function, with a note to document edge cases related to Substack's custom domains.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
AI Summary: The issue requests adding Waze as a supported service to the tool, suggesting it be categorized under 'community' or a new 'other' category. It also provides a specific URL pattern (`https://www.waze.com/user/editor/{user}`) and a 404 response mechanism to verify the existence of a Waze username.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.
🕵️♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 350+ scan vectors (140+ email / 210+ username) for security research, investigations, and digital footprinting.