free-interactive-ai-training-materials

Todos los archivos se movieron bajo la organización oficial del proyecto. No dudes en contribuir a este repositorio: https://github.com/ransomleak/training-security-awareness...

Reel

Reel Phishing simulation and security awareness framework with configurable workflows, campaign management, and optional credential proxy. Quickstart OPS USE 1. Clone the repository and cd into it. 2. run ./deploy.sh - this will configure the pre-preqs for you, assuming you are on ubuntu. 3. Run...

gophish

Gophish Gophish: Kit de Phishing de Código Abierto Gophish es un kit de phishing de código abierto diseñado para empresas y probadores de penetración. Proporciona la capacidad de configurar y ejecutar rápida y fácilmente campañas de phishing y capacitación en concientización de seguridad...

gophish

Gophish Gophish: Open-Source Phishing Toolkit Gophish is an open-source phishing toolkit designed for businesses and penetration testers. It provides the ability to quickly and easily setup and execute phishing engagements and security awareness training. Install Installation of Gophish is...

camjacking

Camjacking CamJacking es un framework de formación en concienciación sobre seguridad de nivel empresarial, diseñado para simular ataques de phishing realistas dirigidos a los permisos de cámara y a la concienciación del usuario 🎯 ¿Qué es CamJacking? CamJacking es un framework de formación en...

camjacking-templates

CamJacking CamJacking es un framework de concienciación y simulación de seguridad diseñado para ayudar a las organizaciones a educar a los usuarios sobre los riesgos de los permisos de cámara, la seguridad del navegador y la concienciación sobre ingeniería social en entornos controlados y...

csaf

The Cyber Security Awareness Framework CSAF is a structured approach aimed at enhancing cybersecurity awareness and understanding among individuals, organizations, and communities. It provides guidance for the development of effective cybersecurity awareness programs, covering key areas such as...

Security-Champions

OWASP Security Champions Guide Using MKDocs to host our content next to the OWASP project page on https://securitychampions.owasp.org/. Inspired by https://github.com/OWASP/API-Security and https://github.com/OWASP/Top10/tree/master/2021. Building a local copy on Windows Install python python3 -m...

Probable-Wordlists

Probable Wordlists - Versión 2.0 ¿Sabes cuáles son las contraseñas más comunes del mundo? ¿Sabes cómo se ven? ¡Querrás evitarlas para estar seguro! ¿Pensando en clonar? Este repositorio no contiene código, sino enlaces a un grupo de listas. Puede que no sea necesario clonar para obtener los...

defenselessV1

defenselessV1 Defenseless es una aplicación web vulnerable escrita en PHP/MySQL. Esta es la primera versión de esta aplicación. El propósito de esta aplicación es crear conciencia de seguridad entre los desarrolladores y los nuevos en seguridad de aplicaciones. Pronto se actualizará con más error...

training-security-awareness

Free Security Awareness Training for Employees — Open Source Interactive SCORM Library 130+ free, open-source security awareness training exercises for employees — hands-on, interactive SCORM modules covering phishing awareness training, phishing simulation, GDPR training, EU AI Act compliance, A...

First-Person Identity Theft Story

Harrowing story of an identity theft victim. Yes, the person made a mistake--they gave the scammer a two-factor authentication code that allowed the scammer to take over their email address. But the real story here is how, for many of us, the security of most of our accounts hangs on the security...

Exploit for CVE-2026-61498

cve-id ⚡ Simple Usage Use this project only in safe and...

From Preventive to Reactive: How AI Coding Assistants Transform Developers' Security Awareness

AI coding assistants are now central to professional software development, yet their impact on how developers think about and practice security remains poorly understood. While prior work has documented vulnerability rates in AI-generated code, a more fundamental question persists: how do these...

Comprehensive List of User Deception Techniques in Emails

Email remains a central communication medium, yet its long-standing design and interface conventions continue to enable deceptive attacks. This research note presents a structured list of 42 email-based deception techniques, documented with 64 concrete example implementations, organized around th...

CISO Spotlight: Dimitris Georgiou on Building Security that Serves People First

Dimitris Georgiou has been a self-professed computer geek since the early 80s. At university, he studied the convergence of educational technology with computer science as part of his psychology MA – finding, to his disbelief, that systems were perilously insecure. Since then, he’s always worked ...

Apeman Cameras

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to take control of the device or view camera feeds. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities, such as: Minimize...

Women’s History Month: Encouraging women in cybersecurity at every career stage

Women’s History Month—and International Women’s Day on March 8, 2026—always gives me pause for reflection. It’s a moment to think about how far we’ve come and think about who we choose to uplift as we look ahead. Throughout my career, I’ve been inspired by extraordinary women leaders—trailblazers...

CVE-2025-6592

Vulnerability in Wikimedia Foundation AbuseFilter. This vulnerability is associated with program files includes/auth/AuthManager.Php. This issue affects AbuseFilter: from fe0b1cb9e9691faf4d8d9bd80646589f6ec37615 before 1.43.2, 1.44.0...

HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation

Large language models LLMs are being increasingly integrated into practical hardware and firmware development pipelines for code generation. Existing studies have primarily focused on evaluating the functional correctness of LLM-generated code, yet paid limited attention to its security issues...