Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 4

...This technique is commonly used in security research and OSINT investigations to discover related infrastructure or services that may belong to the same organization. fav-up can retrieve favicon data from several sources, including local files, direct favicon URLs, or full web pages where the favicon is automatically extracted. fav-up then computes the favicon hash and performs Shodan queries to locate IP addresses that match the same hash. To support larger investigations, the tool can iterate over lists of URLs, domains, or favicon files in bulk. ...

...It helps investigators, security researchers, and penetration testers discover publicly available information related to email addresses and usernames. It can analyze an email address to identify associated social media accounts, references across the web, and potential data breaches linked to that email. It also performs reverse WHOIS lookups to discover domains that may have been registered using a specific email address. In addition to investigating existing addresses, Buster can generate possible email combinations and usernames based on personal details such as a person’s name, birthdate, or additional hints. ...

Photon is an extremely fast web crawler built specifically for OSINT and reconnaissance use cases. It is designed to extract URLs, endpoints, files, and other intelligence artifacts from target websites with minimal overhead. The crawler prioritizes speed and breadth, making it suitable for mapping web attack surfaces and discovering hidden resources. Photon is commonly used during early reconnaissance phases to build a comprehensive inventory of reachable assets. Its Python implementation makes it accessible for customization and integration into larger automation frameworks. ...

Gitrob is an open source reconnaissance tool designed to identify potentially sensitive files that have been committed to public GitHub repositories. It helps security professionals, researchers, and organizations detect accidental data exposure by scanning repositories associated with specific GitHub users or organizations. The tool works by cloning repositories and analyzing their commit history to search for files that match predefined signatures of sensitive data. ...

...It also processes content such as hashtags, mentions, media files, and metadata to identify trends and relevant connections. Additional analysis features help uncover geolocation information, visited places, and user movement patterns when location data is available.