Search Results for "keywords"

...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 collections and allows users to search and analyze them using custom keywords or patterns. This capability makes it useful for identifying exposed resources such as documents, internal panels, or forgotten endpoints that may still be accessible online. urlhunter is written in Go and operates as a command-line utility, making it suitable for automation and integration into reconnaissance workflows.

GitGot is an open source security tool designed to help users quickly search large amounts of public data on GitHub to identify potentially exposed secrets. It operates as a semi-automated, feedback-driven system that combines automated search capabilities with human guidance to refine results during investigation. GitGot leverages the GitHub Search API to perform queries across repositories, files, and gists, allowing security researchers and penetration testers to discover sensitive...

AWStats is a free powerful and featureful server logfile analyzer that shows you all your Web/Mail/FTP statistics including visits, unique visitors, pages, hits, rush hours, os, browsers, search engines, keywords, robots visits, broken links and more

SENTINEL is an open-source behavioral intelligence platform for detecting child grooming on digital platforms. Released by Sentinel Foundation in April 2026, it analyzes patterns of user behavior over time rather than scanning message content for keywords, identifying grooming sequences before direct harm occurs. Key capabilities: - Behavioral scoring across four signal types: linguistic register shifts, relationship graph evolution, temporal escalation patterns, and fairness gates - Tamper-evident audit logs (cryptographically chained, 7-year retention) for legal proceedings and regulatory compliance - Privacy-preserving federation: platforms share encrypted threat signatures without exposing raw messages or user identities - Demographic parity audits enforced as a deployment gate before any detection model goes live - Built-in compliance for EU Digital Services Act, UK Online Safety Act, COPPA, and GDPR Free for organizations under $100k annual revenue and all non-commerci

linkedin2username is an open source OSINT (Open Source Intelligence) tool designed to generate lists of potential usernames by scraping employee information from a company’s LinkedIn page. It logs into LinkedIn using valid user credentials and collects publicly visible employee names associated with a specified organization. Using these names, it automatically generates multiple possible username formats that organizations commonly use for accounts or email addresses. This process helps...

...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. ...

...Each certificate often contains one or more domain names, which the tool analyzes to determine whether they resemble suspicious or phishing-related domains. phishing_catcher applies a configurable scoring mechanism that assigns numeric values to certain keywords, patterns, or top-level domains found within certificate domain names. When a domain’s score exceeds predefined thresholds, it is flagged as potentially malicious and reported accordingly. It operates continuously, processing certificate updates as they arrive and displaying or logging domains that appear suspicious. This approach allows analysts, researchers, and security teams to identify phishing infrastructure early.

...DNSGen applies multiple permutation techniques to create realistic domain combinations based on modern infrastructure naming patterns, including cloud environments, DevOps tools, and microservice architectures. It can also extract meaningful keywords from existing domain names and incorporate them into newly generated permutations. The resulting domain list can be further processed by DNS resolution tools such as MassDNS to determine which generated domains actually exist.

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