👋 有兴趣将本地 LLM 与 Kali Linux 终端在根级别合并以自动化测试

📄 中文摘要

结合本地大语言模型(LLM)与 Kali Linux 终端的想法,旨在通过自动化测试提升安全性和效率。通过将 LLM 的强大自然语言处理能力与 Kali Linux 的强大渗透测试工具相结合,可以实现更高效的漏洞检测和安全评估。这种集成不仅可以减少人工干预,还能加速测试流程,提升整体测试质量。随着网络安全威胁的不断增加,自动化测试的需求愈发迫切,因此探索这种技术的应用前景具有重要意义。

📄 English Summary

👋, intrested in merging local llm with kali linux terminal at root level for automating the testing

The idea of merging a local large language model (LLM) with the Kali Linux terminal aims to enhance security and efficiency through automated testing. By integrating the powerful natural language processing capabilities of LLMs with the robust penetration testing tools of Kali Linux, more efficient vulnerability detection and security assessments can be achieved. This integration not only reduces the need for manual intervention but also accelerates the testing process, improving overall test quality. As cybersecurity threats continue to rise, the demand for automated testing becomes increasingly urgent, making the exploration of this technology's application prospects significant.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等