#network security

This framework improves efficiency in vulnerability analysis within network security by using a modular design and AI-assisted tools. It accurately tags HTTP messages, including WebSockets, using multi-engine regex. By reducing unnecessary traffic analysis, it enhances focus on valuable data. Recent updates support long-text models like Qwen-Long and moonshot-v1-128k, requiring BurpSuite 2023.12.1 or later, ensuring simplified usability.

SecGPT is a network security project inspired by AutoGPT, focusing on plugin functionality with LLM integration. It covers various security disciplines including penetration testing and CTF competitions. The decision-making process leverages AI, enabling tasks like vulnerability scanning. As a solo development effort, it progresses at a slower pace but optimizes code with GPT-4. OpenAI API Key is necessary due to its exploratory nature.

Cilium is an open source project providing robust eBPF-based network, observability, and security features. It enables native routing, overlay networking, and efficient load balancing through a flat Layer 3 network. The tool further enhances bandwidth management and secures L3-L7 protocols with an identity-based security model, suitable for service-to-service communications. Leveraging Prometheus metrics and the Hubble observability platform, Cilium offers comprehensive monitoring capabilities. Built on the latest Linux kernel technologies, it's ideal for scalable and agile distributed applications.

This tool allows retrieval of WeChat account information, database decryption, and chat log viewing. Chats can be exported in multiple formats and accessed remotely. It supports WeChat database decryption and includes a minimalist version for key retrieval. Tested primarily on Windows, it is suitable for network security, backup, and remote access purposes. Regular updates enhance features such as word cloud analysis and enterprise support while emphasizing security and ethical use. Issues can be reported on GitHub.