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Hi ๐Ÿ‘‹, I'm Kisal Nelaka

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Kisal Nelaka's Projects

anonmail icon anonmail

Send email anonymously by using this Python Script.

awesome-command-control icon awesome-command-control

A collection of awesome Command & Control (C2) frameworks, tools and resources for post-exploitation and red teaming assignments.

boopsuite icon boopsuite

A Suite of Tools written in Python for wireless auditing and security testing.

byob-dashboard icon byob-dashboard

An open-source post-exploitation framework for students, researchers and developers.

chatty icon chatty

A realtime chat app using PHP and WebSocket for communication, and integrating OpenAI's GPT-3 API for generating responses.

cve-maker icon cve-maker

Tool to find CVEs, Exploits and Vulnerable Targets.

cve_checker icon cve_checker

A tool for downloading, checking, and applying (CVE) patches to a repository.

destreamer icon destreamer

Save Microsoft Stream videos for offline enjoyment.

detectdee icon detectdee

DetectDee: Hunt down social media accounts by username, email or phone across social networks.

dotfiles icon dotfiles

bspwm + polybar + eww rices. 12 themes with a rice selector to change on the fly.

dr0p1t-framework icon dr0p1t-framework

A framework that create an advanced stealthy dropper that bypass most AVs and have a lot of tricks

drone-hacking-tool icon drone-hacking-tool

Drone Hacking Tool is a GUI tool that works with a USB Wifi adapter and HackRF One for hacking drones.

emotion icon emotion

:smile: Recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning.

eternalblue-2 icon eternalblue-2

ElevenPaths EternalBlue Metasploit module - works better than Rapid 7

eversocial icon eversocial

Simple Social Network in Node.js, Koa.js, MongoDB, React.js stack

excalibur icon excalibur

Excalibur is an Eternalblue exploit payload based "Powershell" for the Bashbunny project.

face_classification icon face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

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