Projects with this topic
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Tools collection to explore CVE and theirs associated data.
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Hoppr-Cop is CLI and Hoppr Plugin that generates high quality vulnerability information from a cyclone-dx Software Bill of Materials (SBOM) by aggregating data from multiple vulnerability databases.
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An inventory of tools and resources about CyberSecurity https://inventory.raw.pm/
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Public Obsidian knowledge vault covering Fachinformatiker IHK exam preparation, networking, software development, IT security, data protection, AI-generated technical reference notes, and practical installation guides. Includes structured study plans, topic documentation, cheatsheets, and LLM-ready exam materials.
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Cybersecurity fundamentals with a defensive focus: threat modeling (STRIDE), recon and scanning, DoS/DDoS, defense in depth, and the ethical/legal framework for testing.
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SafeForge is an open-source mobile app hub built on GitLab that enables developers to build, upload, and share applications in a secure, AI-verified ecosystem. It focuses on strong encryption, transparent trust systems, and automated AI security scanning to detect malware, spyware, and unsafe behavior. https://roxanneardary.com/safeforge/
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Pages : https://class-code.gitlab.io/cyberclass
Le parcours CyberClass est un parcours de ressources éducatives en ligne pour expérimenter, questionner et se questionner autour de la Cybersecurité, ses enjeux, ses acteurs et nos leviers d'actions. Ce dispositif vous donne accès à une formation complète pour comprendre les enjeux de la cybersécurité afin d'être en mesure de les transmettre à un public de jeunes de 13 à 18 ans. Cette formation, pensée pour les enseignants, les éducateurs et les médiateurs, offre un parcours en autonomie et de nombreux outils pédagogiques pour animer les échanges collectifs.
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Local-first encrypted password vault for Android with Master Password access, Recovery Key support, Autofill integration, and portable encrypted ABLBX backups. Developed by Ebrahim Shafiei (EbraSha).
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A forensic reconstruction engine for cloud and identity incident response.
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A lightweight Python module to interact with the MITRE ATT&CK® Enterprise dataset. Built for speed with minimal dependencies. Read the docs for more info.
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The real estate specifications focus on shifting property data away from centralized listing platforms into locally hosted, machine-readable systems that users can fully control. Each property is structured as a modular dataset with consistent formatting for spatial, financial, and descriptive attributes, allowing it to be reused across applications and AI systems without platform dependency. On top of this foundation, the design incorporates encryption-first principles and blockchain-inspired verification concepts to ensure tamper-resistant records, traceable ownership changes, and secure handling of sensitive information, creating a hybrid model of local control with distributed-style trust and transparency. https://roxanneardary.com/real-estate-specifications/
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The AI and the Automobile collection brings together multiple specifications that define how AI integrates into modern vehicle systems, treating the automobile as a software-defined platform where intelligence spans perception, control, navigation, and energy management. It emphasizes real-time performance, safety-critical architecture, and the transition from purely mechanical systems to continuously evolving software-driven mobility. Across the collection, the specs also describe how automotive AI should be built through open and interoperable systems with strong safety practices, including simulation, validation pipelines, and human-in-the-loop oversight to handle edge cases. Together, they frame vehicle intelligence as a layered system combining autonomy, redundancy, diagnostics, and secure update mechanisms to enable reliable and scalable deployment. https://roxanneardary.com/ai-and-the-automobile/
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🛡️ AI-powered portable cybersecurity & pentesting assistant built on ESP32-S3 (LilyGO T-Embed CC1101 & T-Watch S3). Features voice-controlled RF jamming, BadUSB/HID emulation, IR replay, Sub-GHz signal capture, NFC tools, ARP/port scanning, and animated eye display. Powered by XiaoZhi AI framework.Updated -
The firmware engineering home of the Cryptohack electronic badge project.
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The mobile engineering home of the Cryptohack Badge project.
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A diagnostic framework for measuring LLM vulnerability to Affective Contextual Erosion (ACE) and related liminal attack vectors. Delirium is not an exploitation tool. It is a standardized benchmark designed to detect the precise moment when a language model's attention weights shift from serving a system prompt to serving an emergent interpersonal pattern — before harm occurs.
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Educational study guide for the ISC2 Certified Information Systems Security Professional (CISSP) certification, including domain summaries, security concepts, study roadmap, glossary, exam preparation tips, and learning resources.
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Learning Python for Offensive Security teaches Python through practical security-flavoured projects: subdomain bruteforcing, Heartbleed protocol exploration, and system-level Unix exercises.
The examples use local fixtures, documentation examples, and intentionally safe targets.
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