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Source channel @githubredteam · Post #84667 · 5月18日

🚨 GitHub 监控消息提醒 🚨发现关键词:#漏洞#验证#检测#分析 📦项目名称:LLM-MultiAgent-StackOverflow-Detector 👤项目作者:uguj 🛠开发语言: Python ⭐Star数量: 0 | 🍴Fork数量: 0 📅更新时间: 2026-05-18 10:51:12 📝项目描述: 基于ReAct范式的多智能体栈缓冲区溢出检测框架,用于C/C++代码漏洞分析。 - Finder Agent:基于libclang的AST解析,识别危险函数调用 - Tracer Agent:语法树回溯,分析参数可控性 - Hypothesis Agent:调用Qwen2.5-Coder大语言模型生成智能漏洞假设 - Verifier Agent:通过angr符号执行与objdump静态匹配进行二进制验证 框架形成“发现→追踪→假设→验证→反馈”的闭环检测流程。 本仓库包含毕业设计《基于大语言模型的栈溢出漏洞检测研究》的全部源代码、测试用例及实验结果。 🔗点击访问项目地址

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@emagzinewspars · Post #9561 · 2025/11/17 03:17

#The_Science🇺🇸📕[PDF]⬇️ 13 #November2025 #Weekly_Magazines For learning, for free(dom). @backupofmagazines This issue dives into breakthroughs reshaping biology and energy as researchers confront rising geopolitical limits. From #AI-driven epigenetics to #SyntheticBiology advances, the issue tracks how innovation pushes ahead despite tensions over China-US research ties. New micro-robots navigating the bloodstream and faster-charging batteries highlight a surge in #DeepTech momentum. Climate resilience, #PandemicPreparedness, and EU chemical reforms underscore global policy stakes. Studies on dog domestication, brown dwarfs, and marine recovery after extinction broaden the scientific lens. A reminder that #ScienceMatters even as politics shift—innovation continues to define our shared future. #TechNews#GlobalTrends#ResearchUpdates