Search Results for "pages"

dnstwist is an open source cybersecurity tool designed to identify malicious or suspicious domain names that imitate legitimate websites. It works by generating a large set of domain name permutations based on a target domain and analyzing whether any of those variants are actively registered or used. These permutations simulate common techniques used in phishing attacks, typosquatting, and brand impersonation campaigns. Security teams can use the tool to discover potential threats where...

...The tool helps refine investigative queries, collect results from multiple dark web sources, and filter relevant intelligence using AI-driven processing. Robin also performs scraping of discovered pages through Tor sessions, allowing users to gather additional context from dark web sites while maintaining the required network routing. By integrating AI models, the platform can interpret results, highlight key information, and produce summaries that help analysts understand findings faster. The project provides a modular architecture separating search, scraping, and AI processing components so it can be extended with new data sources.

...It retrieves details that are not always easily visible when browsing an Instagram account normally, allowing investigators, researchers, and developers to gather structured data about a target profile. It works by scraping publicly available profile information and extracting metadata from Instagram pages using Python. It collects various attributes such as the username, profile name, follower counts, account status indicators, and profile metadata. In addition to profile information, it can also retrieve post-related data and download publicly available images associated with an account. The results are saved locally in structured formats such as JSON-style data inside text files, making them easy to analyze or integrate into other applications. ...

hakrawler is a lightweight command-line web crawler built in Go that is designed to quickly discover URLs, endpoints, and assets within web applications. It is primarily used during the reconnaissance phase of security testing, bug bounty hunting, and penetration testing. It works by automatically crawling web pages and extracting links, JavaScript file locations, and other resources that may reveal additional attack surface or hidden functionality. hakrawler is implemented as a simple and efficient crawler using the Gocolly library, which allows it to perform fast and concurrent crawling of web pages. It accepts URLs through standard input, making it easy to integrate into command-line pipelines with other security tools. ...

...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.