Search Results for "google services"

...It queries several public WiFi geolocation databases and aggregates the results to help identify the approximate location of a wireless access point. By combining multiple data sources such as Wigle, Apple, Google, WifiDB, Mylnikov, and Combain, the tool can provide location data that may include coordinates and additional network metadata. Users can run searches through a command-line interface by specifying either the BSSID (MAC address) or the SSID of a network. The results can be displayed in different formats, including a structured JSON output or an interactive HTML map showing the discovered locations. geowifi also supports API-based integrations with certain services, which allows geowifi to retrieve more accurate or detailed geolocation data when valid API credentials are configured.

ipranges is an open source repository that provides continuously updated lists of IP address ranges associated with major cloud providers, search engine crawlers, and online services. ipranges collects IP ranges from publicly available sources and organizes them into structured files that can be easily used in security, networking, and automation workflows. It includes address ranges from providers such as Google Cloud, Amazon AWS, Microsoft, Oracle Cloud, and DigitalOcean, as well as well known service platforms like GitHub, Facebook, Twitter, and Telegram. ...

...It allows users to perform search engine “dork” queries against a large set of predefined domains, making it easier to discover publicly available information across different platforms. SiteDorks supports several major search engines including Google, Bing, Brave, Ecosia, DuckDuckGo, Yahoo, and Yandex. Instead of manually running the same query for many sites, SiteDorks generates and executes the queries automatically using lists of “dorkable” websites. A built-in dataset contains hundreds of websites grouped into categories such as cloud services, developer platforms, documentation sites, social platforms, and communication tools. ...

cloud_enum is an open source reconnaissance and OSINT tool designed to discover publicly accessible cloud resources across major cloud providers. It focuses on enumerating assets in Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform using keyword-based discovery techniques. It works by taking user-provided keywords and generating variations through mutation wordlists, then testing these combinations against common cloud service naming patterns. cloud_enum performs both HTTP probing and DNS lookups to identify resources such as storage buckets, cloud applications, and databases that may be exposed or accessible. cloud_enum uses concurrent processing to speed up scanning, enabling efficient enumeration of large numbers of possible resource names. ...

...It scans recently indexed files on GitHub and searches for patterns that may indicate leaked credentials, API keys, or other confidential data used by popular online services. Instead of analyzing the full history of repositories, the tool focuses on newly indexed content, allowing security researchers and bug bounty hunters to quickly identify fresh leaks as they appear. gitGraber uses carefully crafted regular expressions to detect tokens and secrets associated with platforms such as AWS, Google, PayPal, Twitter, Stripe, and many others. ...

Maryam is an open source intelligence (OSINT) framework designed to automate the process of gathering and analyzing publicly available information from the internet. It provides a modular environment that enables users to collect data from search engines, open data sources, and various online services for reconnaissance and investigative purposes. Written in Python, Maryam is built to provide a flexible and extensible framework for harvesting information quickly and efficiently from open sources. Maryam helps security researchers and analysts streamline routine data-gathering tasks that typically involve searching multiple sources such as Google, Bing, or other online platforms. ...

CrossLinked is an open source LinkedIn enumeration tool designed to collect employee names associated with a target organization. Instead of accessing LinkedIn directly or relying on its API, it performs search engine scraping using services such as Google and Bing to discover public LinkedIn profile results. By analyzing these search results, CrossLinked extracts employee names and processes them into usable formats for security assessments or reconnaissance activities. This approach allows the tool to operate without credentials, authentication tokens, or LinkedIn account access. ...