🚀🚀 This is a 🎇🔥 REAL WORLD🔥 🎇 Malware Collection I have Compiled & analysed by researchers🔥 to understand more about Malware threats😈, analysis and mitigation🧐.

This will encrypt 🤐 your files using AES-256-CTR, then RSA-4096😵‍💫to secure the exchange with the server, or can use the Tor SOCKS5 Proxy😎 -- Functionality is based on Cryptolocker😈 ransomware. Be cool😉

Prototype that analyses JavaScript malware samples and detects those that exhibit non-deterministic behavior in order to evade detection.

This project aims to detect malware using machine learning (ML) by analyzing API calls made by applications. API calls are instructions that programs use to interact with the operating system. Malicious programs often exhibit distinct API call patterns that differ from legitimate software, making them a valuable feature for malware detection.

This is a project that I created to explain a type of malware name STUXNET to cybersecurity analyst and my fellow classmates or students in my school.

No description available

No description available

MALTI Tool is a tool which enables the potential to analyze the logical structure of a malware for malware analysis. We have developed our tool named as MALTI, which is a significant advancement to malware analysis field. Our tool significantly calculates hash values and compares it with the available open-source data to check whether same type of malware exist on the global internet. Our tool is also capable of analysing headers of the malware file, which will definitely help malware researchers to exhibit the behavior of different types of malwares. With the help of our tool, a malware researcher can structure the behaviors of a malware and accordingly an organization can develop their security systems to cope up with the malware.