tls-security

TLS scanning component of OWASP PurpleTeam

60 hands-on vulnerability assessment labs aligned with security frameworks, covering scanning, validation, risk prioritization, configuration auditing, and reporting.

SSLBPS is an Android security research project for analyzing APK structure, manifests, Smali code, certificate trust models, and mobile security controls. Built for educational analysis, defensive research, software auditing, and reverse‑engineering learning. Perfect for understanding app architecture, code review, and secure development practices

DuskProbe is a web security testing framework that combines passive reconnaissance and active vulnerability scanning. Built with aiohttp and Streamlit, it identifies OWASP Top 10 risks and business logic flaws to provide coverage of modern web attack surfaces.

StrataScan is a gray-hat hackers attack-surface reconstruction engine that transforms web history into actionable security intelligence. It combines OSINT, archive forensics, DNS/TLS analysis, subdomain discovery, secret detection, temporal diffing, live verification, evidence correlation, and automated reporting.

This project focuses on implementing and demonstrating TLS (Transport Layer Security) in Node.js to ensure data safety during transmission over networks. It aims to provide a comprehensive guide and practical examples on securing data at the transport layer using TLS.

sRX87 is SSL/TLS reconnaissance and exploitation framework. It runs 12 stages: transport recon, cert parsing, cipher enumeration, real crypto oracles, HTTP smuggling, auth bypass, SSRF, cloud metadata, CVE correlation, and 20-format reporting.

Android security audit tool for APK decompilation, TLS inspection, endpoint extraction, vulnerability detection, and AI-powered reporting.

A lightweight Python tool that assesses website security headers, HTTPS, cookies and TLS configuration.

TLS Interposer (Dongle) Tool developed as part of the CAC-H topic under SRI's CHALO project.

The tool analyzes actual data flows to map risk levels and geometrically estimate the time gaps for breaking encryption between classical supercomputers and quantum cracking algorithms (Shor and Grover).