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SubDomainizer is a security scanning utility designed to map web infrastructure and identify sensitive information exposure. It functions as a reconnaissance tool that aggregates data from web pages, local files, and remote code hosting services to provide a comprehensive assessment of a target's attack surface.
The main features of nsonaniya2010/subdomainizer are: Subdomain Discoveries, Credential Leak Detection, Secret Scanning, Recursive Crawl Discoverers, GitHub Reconnaissance Tools, Repository Content Scanning, Cloud Storage Scanning, Subject Alternative Name Management.
Projects with overlapping indexed features include: techgaun/github-dorks — This project is a GitHub secret scanner and dorking tool designed to identify leaked credentials and private keys… tuhinshubhra/red_hawk — RED_HAWK is a penetration testing framework and reconnaissance suite designed for information gathering and… entireio/cli — This project is a Git-based AI session tracker and context manager designed to record AI agent interactions,… dxa4481/trufflehog — TruffleHog is a secret scanning tool designed to identify leaked credentials and API keys across version control… edu4rdshl/findomain — Findomain is a subdomain enumeration and infrastructure analysis tool designed for attack surface mapping. It… findomain/findomain — Findomain is a subdomain discovery tool and DNS resolver used for mapping an organization's external attack surface.…
This project is a GitHub secret scanner and dorking tool designed to identify leaked credentials and private keys within repositories. It functions as an API reconnaissance utility that uses curated search queries and automated dorks to locate sensitive data across public and enterprise GitHub instances. The tool enables security vulnerability research and enterprise auditing by targeting both public cloud instances and private enterprise installations via configurable base URLs. It utilizes token-based authentication to access private repository content and bypass API rate limits. The syste
RED_HAWK is a penetration testing framework and reconnaissance suite designed for information gathering and vulnerability assessment. It provides a toolkit for infrastructure reconnaissance, technology stack detection, automated web spidering, and security scanning. The project distinguishes itself through a multi-stage reconnaissance pipeline that maps attack surfaces. This includes DNS-based infrastructure mapping to resolve network layouts and pattern-based detection to identify specific content management systems and server stacks. The system covers a broad range of capabilities includin
This project is a Git-based AI session tracker and context manager designed to record AI agent interactions, transcripts, and tool usage directly into Git repositories. It functions as a system for capturing and indexing the reasoning behind code changes, linking AI prompts and responses to specific code commits to preserve developer intent. The tool distinguishes itself by using Git as a primary storage layer for session metadata, utilizing shadow branches and checkpoints to track agent state without polluting the main commit log. It includes specialized capabilities for auditing AI contribu
TruffleHog is a secret scanning tool designed to identify leaked credentials and API keys across version control systems, cloud storage, and filesystems. It functions as a git secret detector that enumerates hidden commits and a cloud storage security auditor for inspecting container images and storage buckets. The project is distinguished by a credential verification engine that tests discovered secrets against service APIs to confirm they are active, which eliminates false positive alerts. It further analyzes these verified credentials to determine the specific access levels and resources t