Search Results for "match"

urlhunter is an open source reconnaissance tool designed to help security researchers discover URLs that have been exposed through URL shortener services such as bit.ly and goo.gl. It works by analyzing large datasets generated from brute-forced short links that are publicly released by the URLTeam project. These datasets contain resolved long URLs that were originally hidden behind short links, which can sometimes reveal sensitive or previously unknown endpoints. urlhunter downloads these...

...CrossLinked is commonly used by penetration testers and security professionals during the reconnaissance phase to identify potential usernames or email address formats for a target organization. It also supports customizable naming templates, enabling users to generate usernames or email formats that match corporate account conventions.

yesitsme is a Python-based OSINT utility designed to help investigators identify potential Instagram accounts associated with a specific person using limited identifying data. The script works by querying indexed public information and comparing obfuscated email addresses and phone numbers against user-provided inputs to estimate match confidence. It is intended to automate a time-consuming manual investigation process by aggregating candidate usernames and classifying them into match levels such as high, medium, or low. The tool requires an Instagram session cookie to operate and includes configurable timeout controls to help avoid detection or rate limiting during searches. ...

...After fetching the favicon, it calculates a hash value and organizes the scanned domains, subdomains, or IP addresses according to these hashes. FavFreak then compares the generated hashes against a predefined fingerprint dictionary that maps known favicon hashes to specific technologies or services. If a match is found, it displays the corresponding technology information in the output, helping researchers quickly identify potential targets or related infrastructure. This approach is particularly useful during reconnaissance phases of security assessments because many web services share identical favicon hashes.

...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. Results can be printed to the console or exported into structured formats such as CSV or JSON for further analysis and reporting.

...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. These signatures are used to flag items such as credentials, private keys, configuration files, and other materials that may expose confidential information. By automatically inspecting repository histories, Gitrob simplifies the process of identifying security risks that might otherwise remain unnoticed in publicly accessible codebases. ...