Showing 12 open source projects for "cybersecurity"

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    Cybersecurity AI

    Cybersecurity AI

    Cybersecurity AI (CAI), the framework for AI Security

    CAI (Cybersecurity AI) is a lightweight open-source framework intended to help security practitioners build and deploy AI-assisted automation for defensive and offensive security workflows. The project frames itself as a practical foundation for “AI security,” focusing on turning security tasks into agentic workflows that can be composed, executed, and iterated on by practitioners.
    Downloads: 1 This Week
    Last Update:
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  • 2
    HackerRepo.org

    HackerRepo.org

    Collection of cybersecurity-related references, scripts, tools, code

    ...The repository is continuously maintained and categorized into specialized directories so users can quickly locate relevant learning material or utilities. Rather than being a single tool, it functions as an extensive reference library that supports skill development across the entire cybersecurity lifecycle. Overall, h4cker serves as a comprehensive open knowledge repository for practitioners building or expanding professional security expertise.
    Downloads: 5 This Week
    Last Update:
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  • 3
    Python Code Tutorials

    Python Code Tutorials

    The Python Code Tutorials

    Python Code Tutorials is a large educational repository that aggregates programming tutorials from the “The Python Code” website into a structured collection of Python projects and learning materials. The repository covers a wide range of programming topics including cybersecurity, networking, web scraping, machine learning, GUI development, and automation scripts. Each tutorial typically includes complete Python code examples and explanations that demonstrate how to build real tools and applications step by step. Many tutorials focus on practical implementations such as building network scanners, web scraping tools, object detection systems, and automation utilities using Python libraries. ...
    Downloads: 3 This Week
    Last Update:
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  • 4
    Kheish

    Kheish

    Kheish: A multi-role LLM agent for tasks like code auditing

    Kheish is a framework designed for cybersecurity professionals to automate penetration testing tasks, providing tools to streamline security assessments.
    Downloads: 9 This Week
    Last Update:
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  • 5
    Purple Llama

    Purple Llama

    Set of tools to assess and improve LLM security

    Purple Llama is an umbrella safety initiative that aggregates tools, benchmarks, and mitigations to help developers build responsibly with open generative AI. Its scope spans input and output safeguards, cybersecurity-focused evaluations, and reference shields that can be inserted at inference time. The project evolves as a hub for safety research artifacts like Llama Guard and Code Shield, along with dataset specs and how-to guides for integrating checks into applications. CyberSecEval, one of its flagship components, provides repeatable evaluations for security risk, including agent-oriented tasks such as automated patching benchmarks. ...
    Downloads: 0 This Week
    Last Update:
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  • 6
    MCP ZoomEye

    MCP ZoomEye

    A Model Context Protocol server that provides network asset info

    The ZoomEye MCP Server is a Model Context Protocol server that provides network asset information based on query conditions, allowing Large Language Models to obtain data by querying ZoomEye using dorks and other search parameters. ​
    Downloads: 0 This Week
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  • 7
    PentAGI

    PentAGI

    Perform penetration testing tasks

    ...The project is built to be modular and extensible so researchers and red teams can customize behavior or integrate additional tools as needed. By focusing on autonomous decision-making in cybersecurity contexts, PentAGI represents part of the broader trend toward AI-assisted offensive security automation.
    Downloads: 3 This Week
    Last Update:
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  • 8
    VIPER

    VIPER

    AI-powered red team platform for adversary simulation toolkit

    Viper is a comprehensive red teaming and adversary simulation platform designed to support cybersecurity professionals in conducting advanced security assessments. It integrates a wide range of tools and capabilities required for penetration testing, post-exploitation, and attack simulation workflows into a unified environment. Viper emphasizes ease of use through a graphical interface, allowing users to manage complex operations without relying solely on command-line tools.
    Downloads: 0 This Week
    Last Update:
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  • 9
    Beelzebub

    Beelzebub

    A secure low code honeypot framework

    Beelzebub is an open-source cybersecurity framework designed to create intelligent honeypot environments for detecting and studying cyber attacks. Honeypots are systems intentionally exposed to attackers in order to capture malicious behavior, and Beelzebub enhances this concept by incorporating artificial intelligence and virtualization techniques. The platform allows organizations and researchers to deploy decoy services that mimic real infrastructure while recording attacker interactions. ...
    Downloads: 0 This Week
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  • 10
    Null-CLi

    Null-CLi

    Secure The Unknown

    NullSquare is an AI-powered security platform that can do both penetration testing and compliance auditing.
    Downloads: 2 This Week
    Last Update:
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  • 11
    HunterX Offensive Security Engine
    HunterX AI-Assisted Offensive Security Engine Discover. Validate. Prove. Report. HunterX is not merely a vulnerability scanner. It is an open-source, AI-assisted offensive security engine for planning and running authorized security-assessment missions. It combines reconnaissance, security-tool orchestration, AI-assisted reasoning, hypothesis-driven investigation, vulnerability validation, evidence collection, proof / PoC engineering, replay / reproducibility, correlation, impact...
    Downloads: 7 This Week
    Last Update:
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  • 12
    AI-for-Security-Learning

    AI-for-Security-Learning

    AI-based security algorithms, and security data analysis

    ...In addition to demonstrating defensive applications, the repository also explores adversarial machine learning concepts that highlight potential vulnerabilities in AI systems. This dual focus allows readers to study both how AI can improve cybersecurity and how machine learning models themselves can become targets of attacks.
    Downloads: 0 This Week
    Last Update:
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