Interactive PDF Analysis (also called IPA) allows any researcher to explore the inner details of any PDF file. PDF files may be used to carry malicious payloads that exploit vulnerabilities, and issues of PDF viewer, or may be used in phishing campaigns as social engineering artefacts. The goal of this software is to let any analyst go deep on its own the PDF file. Via IPA, you may extract important payload from PDF files, understand the relationship across objects, and infer elements that may be helpful for triage of malicious or untrusted payloads. IPA/README.md at main · seekbytes/IPA · GitHub #PDF#PDFanalysis#Malware#Security
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🚨 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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