PentestChain: A Cost-Aware, MCP-Orchestrated Framework for Automated Penetration Testing with Free-Tier LLMs
本论文针对 AI 驱动自动化渗透测试的高成本门槛问题展开研究。背景是:已有工作(如基于 GPT-4 等前沿闭源模型)验证了 LLM 自动化渗透测试的可行性,但每次测评的 token 费用使持续、自动化的安全测试对最需要它的小型组织而言难以负
今日共收录 2436 条安全情报,包含 1258 个 CVE,779 篇安全通告,以及 100 篇研究论文。
← 返回归档列表本论文针对 AI 驱动自动化渗透测试的高成本门槛问题展开研究。背景是:已有工作(如基于 GPT-4 等前沿闭源模型)验证了 LLM 自动化渗透测试的可行性,但每次测评的 token 费用使持续、自动化的安全测试对最需要它的小型组织而言难以负
Cloud & Application Security
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