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.

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

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

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

Phishing Email Detection & Security Awareness Report – Future Interns Task 02

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

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.

DMARC report analyzer

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.

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

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.

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.

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

Chrome extension that detects phishing emails in Gmail using Llama 3.3 70B via Groq API and VirusTotal URL scanning. Flask backend. 99% accuracy on Nazario + Enron datasets.

AI-powered phishing detection platform that detects malicious Emails, URLs, and QR Codes using Machine Learning, XGBoost, VirusTotal, and Explainable AI.