emailsecurity

An offline Phishing Email Analyzer. Enabling non-techies to analyze phishing emails automatically!

CanIBeSpoofed is a console project utilising functionality built for the https://caniphish.com/free-phishing-tools/email-spoofing-test website. This project facilitates scanning of domains to gain visibility over email supply chain and SPF/DMARC vulnerabilities.

Explainable phishing email analysis combining email forensics, threat intelligence and LLM-assisted reasoning.

Collection Softwares & Services For Bypassing Internet Censorship and Protecting Privacy.

Delete an email from every user's inbox with Powershell

AI-Powered Quishing Detection API: Detects malicious QR codes in emails, including advanced evasion techniques like Split-QR, CSS obfuscation, and url shortener. Extracts URLs and classifies threats using XGBoost ML model. Returns JSON-ready threat intelligence

Automated security assessment tool for domain infrastructure. Performs comprehensive DNS analysis, email authentication validation (SPF/DKIM/DMARC), and network security scanning. Generates professional HTML reports with actionable findings.

This project aims to develop a machine learning-based system for detecting spam emails. Email Spam Detection Project With Code, Documents, PPT, Report and Video

Custom email security gateway for personal Gmail, modelled on commercial tools like Mimecast. Read-only, layered detection, LLM-based BEC analysis

DMARC report analyzer

Phishing email triage tool for anyone. Plain English verdict for a quick read, full analyst evidence underneath, both from one shared analysis. Python CLI plus a browser demo, nothing about the email you check ever leaves your device.

Multi-format phishing email analyzer with rule-based heuristics and ML-based attack-type classification, built with React, FastAPI, and scikit-learn.

A defensive Streamlit dashboard for explainable phishing email analysis, risk scoring, security awareness, and downloadable reports.

Cyber Twin is an AI-powered cybersecurity platform that detects phishing URLs, malicious QR codes, fraudulent emails, and digital threats in real time. Using Explainable AI, threat intelligence, and a personalized Cyber Health Score, it helps users understand, prevent, and respond to cyber risks proactively.

Machine learning based phishing email detector using Random Forest and TF-IDF with custom feature engineering.

AI-powered Spam Email Detection System built with Flask, Machine Learning, and NLP for real-time phishing and spam analysis.

AI-powered email fraud, phishing, and spam detection platform with real-time risk scoring and scan history.

PhishGuard is an AI-powered phishing email detector that helps identify and flag malicious emails in real time. Using machine learning techniques, it analyzes email content to protect users from scams, phishing attacks, and cyber threats.

Writing SPF checks in python3

This project aims to design and develop a robust spam detection system that can accurately classify incoming messages or emails as spam or legitimate. Spam Detection Project Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials