This repo shares blue team security notes and resources for detecting and preventing cyber attacks. Topics covered include email, file, log, malware, memory forensics, and packet analysis.
🚨 Generate and explore malicious QR codes for cybersecurity education and authorized penetration testing to enhance digital security awareness.
Email Signature remover - Extracting email body out of the email text in order to get accurate sentiment results, using NLP tasks.
CrawlerBox is an automated analysis framework designed for parsing emails and crawling embedded web resources.
WhoDAT is an InfoSec Analyzer for Nerds using VirusTotal, Google Safe Browsing, URLScan, Hybrid-Analysis, and OpenAI. Scan URLs, emails, headers, and attachments (including QR codes) for malicious activity!
In this project i have analyzed the Gmail account data and plotted some valuable insights.
This repository contains detailed Capture The Flag (CTF) writeups for challenges completed on CyberDefenders, TryHackMe, BTLO, and more. The writeups are provided in PDF format and cover areas such as digital forensics, malware analysis, network analysis and much more.
NLP analysis of job rejection emails: sentiment analysis, clustering, named entity recognition, and visualization of rejection patterns
PhishSage is a lightweight email triage and phishing-analysis toolkit. Extracts headers, attachments, and links, applies heuristic checks, and produces structured insights.
An Email Analysis Tool with threat scoring, and URL/attachment safety checks for detecting phishing and malicious emails.
Phishing email investigation project analyzing spoofed sender domains, malicious links, and social engineering techniques in a controlled lab environment.
CSDF Semester 7 Practicals
PhishGuard: AI-Powered Email Phishing Analysis🔎. PhishGuard leverages AI and ML technologies to detect ⚓🐟phishing attacks. With real-time detection, comprehensive reports, and an userfriendly interface, PhishGuard secures your Environment against malicious threats like Malwares☢️,viruses
A new package that helps users and organizations analyze and categorize email account usage patterns. The package takes user-submitted text input describing their email management habits and returns a
Command-line tool for detecting phishing emails in .eml files with rule-based analysis.
SOC-style phishing email investigation covering header analysis, IOC extraction, URL and attachment analysis, and threat classification.
Digital Forensics using Machine Learning
This project exemplifies how quiet attacks on human behavior can be just as dangerous as malware-based intrusions.
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