#Cybersecurity

Community-curated GPT agents focus on enhancing cybersecurity defenses and offensive strategies. The collection features tools for pen testing, threat intelligence, and vulnerability analysis. Community contributions are encouraged to diversify resources for professionals. As some tools are experimental, caution is advised. Discover agents such as MagicUnprotect and GP(en)T(ester) to strengthen cybersecurity capabilities.

AutoAudit, an open-source language model, enhances network security by offering tools for analyzing malicious code, detecting attacks, and predicting vulnerabilities. It supports security professionals with accurate, fast analysis and is integrated with ClamAV for seamless scanning operations. Future updates target improved reasoning, accuracy, and expanded tool integration.

Discover a selection of innovative AI tools leveraging Large Language Models for boosting cybersecurity research. Applications cover reverse engineering, network analysis, and cloud security, utilizing OpenAI's GPT models for tasks including decompiled code analysis, HTTP request evaluation, and IAM policy vulnerabilities. Highlights include proofs of concept in LLM-driven malware and indirect prompt injection attacks.

Explore a wide array of cybersecurity references, tools, and scripts curated by Omar Santos. This extensive repository, comprising over 10,000 resources, supplements books and courses aimed at enhancing the skills of security professionals. Key focus areas include ethical hacking, reverse engineering, threat intelligence, digital forensics, and AI security. Dive into these resources to complement your cybersecurity education. Contributions are encouraged and supported under the MIT License.

This compilation features in-depth resources and field best practices for developing and managing Security Operations Centers (SOC) and Computer Security Incident Response Teams (CSIRT). Drawing on insights from experienced SOC/CSIRT analysts and managers, it elucidates essential tools, concepts, and workflows for detection and incident response activities. Key topics include foundational principles, essential tools, IT/security monitoring, management, HR training, and advanced threat intelligence and detection engineering strategies. The guide references established frameworks and strategies to enhance efficient security operations and robust incident response capabilities.

Purple Llama provides tools for assessing open AI model safety, with a focus on combining offensive and defensive strategies. Initial releases feature cybersecurity evaluations and safeguards such as Llama Guard and Code Shield. The project promotes open collaboration through permissive licensing and aims to standardize AI safety tools.

Utilize advanced OCR and NLP technologies to effectively detect and extract personally identifiable information (PII) from images, PDFs, and documents. The tool helps to identify cybersecurity vulnerabilities by scanning public-facing data for sensitive information such as government IDs and contact details. Offering simple installation and versatile scanning options, including local filesystems and cloud URLs, it aids organizations in safeguarding private data without exaggeration or promotional terms.

SecGPT combines AI and cybersecurity to improve efficiency in identifying and responding to threats. It supports a range of tasks including vulnerability analysis, traffic monitoring, and attack assessment. Features include proprietary training code for memory-efficient model training and a curated cybersecurity dataset. SecGPT also utilizes DPO reinforcement learning for enhanced decision-making. As an open-source initiative, it encourages research and collaboration in building a secure digital world.

The repository compiles resources on prompt injection attacks and defenses, offering case studies, examples, and notes for researchers and security professionals. It categorizes jailbreak and reverse engineering prompts for easy use, enhancing AI safety understanding and facilitating research on LLM vulnerabilities. Open to community contributions, this project is an invaluable tool for academic research and education in AI safety.

Access a vast archive of CTF events featuring detailed write-ups that provide insights and analyses from various competitions, including 0CTF and ASIS. Utilize CTFtime and GitHub resources to advance your cybersecurity expertise. Keep informed with recent events to refine your strategies and deepen your understanding of problem-solving techniques in these thrilling competitions.