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#利用#分析 📦项目名称:cve-llm-kg 👤项目作者:nantangqiuweiwan 🛠开发语言: Python ⭐Star数量: 1 | 🍴Fork数量: 0 📅更新时间: 2026-05-03 09:58:37 📝项目描述: 基于 LLM 的 CVE 漏洞知识图谱构建与分析:针对网络协议相关的 CVE 漏洞,设计 Prompt,利用大语言模型作为“智能解析器”,从非结构化的 CVE 描述中自动抽取关键实体和关系。将抽取出的实体和关系导入图数据库,构建一个可视化的物联网漏洞知识图谱。 🔗点击访问项目地址
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