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Las características principales de ascribe/image-match son: Open Source Intelligence.
Las alternativas de código abierto para ascribe/image-match incluyen: v2-dev/awesome-social-engineering — This project is a curated collection of frameworks, libraries, and toolsets designed for social engineering and public… christruncer/eyewitness — EyeWitness is designed to take screenshots of websites, provide some server header info, and identify default… codingo/vhostscan — A virtual host scanner that performs reverse lookups, can be used with pivot tools, detect catch-all scenarios, work… danmcinerney/fast-recon — Does some google dorks against a domain. ekultek/whatbreach — OSINT tool to find breached emails, databases, pastes, and relevant information. beurtschipper/depix — Depix is a pixelation recovery tool and digital forensics utility designed to reconstruct plaintext from pixelated…
This project is a curated collection of frameworks, libraries, and toolsets designed for social engineering and public data gathering. It aggregates specialized software and educational materials used to perform human-centric attacks during professional security engagements. The directory provides resources for gathering and visualizing open source intelligence to identify sensitive information leaks. It also includes a collection of methods and software for executing phishing campaigns to harvest credentials and session cookies. The repository further covers educational materials focused on
EyeWitness is designed to take screenshots of websites, provide some server header info, and identify default credentials if possible.
A virtual host scanner that performs reverse lookups, can be used with pivot tools, detect catch-all scenarios, work around wildcards, aliases and dynamic default pages.
Depix is a pixelation recovery tool and digital forensics utility designed to reconstruct plaintext from pixelated images. It functions as a brute-force text reconstructor that identifies original text sequences by matching pixel blocks against a library of rendered characters. The tool operates as a proof of concept for image de-pixelation, utilizing pattern analysis to reveal hidden information. It is used for digital forensic analysis and redaction security testing to evaluate the effectiveness of pixelation as a method of obscuring sensitive data. The reconstruction process involves colo