Ryan Donahue (Splat)

Splat

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Comcast

Ryan Donahue's repositories

CMBlog

A primative example of a blog implemented in AngularJS using only front-end code.

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crypto_challenge

Repository for the Philly BSides yearly crypto challenges.

fuxploider

File upload vulnerability scanner and exploitation tool.

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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cryfs

Cryptographic filesystem for the cloud

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docker-onion-nmap

Scan .onion hidden services with nmap using Tor, proxychains and dnsmasq in a minimal alpine Docker container.

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JudasDNS

Nameserver DNS poisoning attacks made easy

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mitmproxy

An interactive SSL-capable intercepting HTTP proxy for penetration testers and software developers

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SniffAir

A framework for wireless pentesting.

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botnets

This is a collection of #botnet source codes, unorganized. For EDUCATIONAL PURPOSES ONLY

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CredSniper

CredSniper is a phishing framework written with the Python micro-framework Flask and Jinja2 templating which supports capturing 2FA tokens.

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docker-hacklab

My personal hacklab, create your own.

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gopry

Golang system and language dependency auditor for Linux

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HTML5_Particle_Physics

A basic canvas implementation of particles floating around.

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IMSI-catcher

This program show you IMSI numbers of cellphones around you.

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itpol

LF IT policies

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mastodon

A GNU Social-compatible microblogging server

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MemLabs

Educational, CTF-styled labs for individuals interested in Memory Forensics

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mongoaudit

🔥 A powerful MongoDB auditing and pentesting tool 🔥

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netdata

Real-time performance monitoring, done right!

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reversing

Various exercises and practice for reversing applications.

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security-scripts

Scripts built from our Guide to User Data Security

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shodan-dojo

Learning Shodan through katas

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smile

Smile programming language interpreter

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SpoofMAC

Easily spoof your MAC address in OS X

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ssh-auth-methods

A simple threaded Python script that returns the authentication methods supported by each of a list of SSH servers..

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stethoscope

Personalized, user-focused recommendations for employee information security.

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