ThreatHunter76/Incident-Response-Analysis

# 事件响应分析报告 ## 简介 本项目记录了在 TryHackMe Incident Response Process 实验室环境中进行的一次实战事件响应调查。该演练侧重于使用结构化的事件响应方法论，对受感染 Windows 工作站上的可疑活动进行识别、分析和调查。 调查涵盖： - 进程分析 - 网络分析 - 恶意软件调查 - 感染媒介识别 - 命令与控制 (C2) 通信分析 本次分析采用了源自 NIST 事件响应框架和 SANS 事件响应流程模型的概念。 # 目标 本项目的目标是模拟真实的安全事件，并应用实战事件响应技术来： - 检测可疑活动 - 调查恶意软件行为 - 分析恶意网络通信 - 识别感染媒介 - 了解攻击者技术与妥协指标 (IOC) # 事件场景 一名用户报告称，其在浏览互联网和处理文档时，Windows 笔记本电脑变得异常缓慢且不稳定。 IT 部门的初步调查显示： - CPU 占用率高 - 持续的对外网络连接 - 可疑的系统行为 - SIEM 或 EDR 解决方案未触发任何告警 该案例被升级上报给事件响应 (IR) 团队以进行进一步的取证调查。 # 调查过程 ## 1. 进程分析 使用 Windows 任务管理器，发现了一个名为以下名称的可疑进程： ``` 32th4ckm3 was identified consuming approximately 51.5% CPU resources. Suspicious Indicators * High CPU usage * Unusual process naming convention * Execution from Temp directory * Continuous outbound network communication ⸻ 2. File Location Investigation The malicious executable was found running from: C:\Users\TryCleanUser\AppData\Local\Temp This directory is commonly abused by malware due to its write permissions and low visibility. ⸻ 3. Network Analysis The Process ID (PID) was collected and investigated using: netstat -aofn | find "PID" Findings * Repeated outbound connections * Communication with an external IP address * Potential Command and Control (C2) activity This behavior strongly indicated malware beaconing activity. ⸻ 4. Infection Vector Identification Browser downloads and user activity were reviewed. A suspicious macro-enabled Word document was identified: invoiceN.37484567.docm ⸻ Malware Analysis The .docm file was analyzed using the Microsoft Word VBA Macro Editor. Suspicious VBA Functions Observed * GetObject * Winmgmts * ExecQuery These functions are commonly associated with: * WMI abuse * Malware execution * Remote command execution * System reconnaissance The document was confirmed to contain malicious macro code. ⸻ Key Findings Suspicious Process 32th4ckm3 Observed Behavior * Excessive CPU utilization * Persistent outbound connections * Unauthorized activity ⸻ Command & Control Communication Indicators of C2 activity included: * Continuous outbound traffic * Repeated communication with the same IP address * Unknown external communication ⸻ Infection Vector Malicious macro-enabled document: invoiceN.37484567.docm ⸻ Skills Demonstrated This project provided practical experience in: * Incident Response * Malware Triage * Process Investigation * Network Analysis * Threat Detection * Root Cause Analysis * Command & Control Detection * Windows Endpoint Investigation ⸻ Tools & Techniques Used * Windows Task Manager * Netstat * VBA Macro Editor * Process Analysis * Network Connection Analysis * IOC Investigation ⸻ Lessons Learned * Not all malicious activity triggers SIEM or EDR alerts * Behavioral analysis is critical during investigations * Temporary directories are common malware execution locations * Macro-enabled Office documents remain a major phishing vector * Network analysis is essential for identifying malicious communications ⸻ Frameworks Referenced NIST Incident Response Framework * Preparation * Detection and Analysis * Containment, Eradication, and Recovery * Post-Incident Activity SANS Incident Response Framework * Preparation * Identification * Containment * Eradication * Recovery * Lessons Learned ⸻ Conclusion This project successfully demonstrated the practical application of incident response methodologies within a controlled SOC lab environment. Through structured investigation techniques, the malicious process, suspicious network communications, and macro-enabled infection vector were successfully identified and analyzed. The exercise strengthened my understanding of: * Threat investigation * Malware behavior analysis * Endpoint monitoring * Incident escalation * Cybersecurity operations workflows ⸻ Author AbdulQudus Olamilekan AbdulHakeem Aspiring SOC Analyst | Threat Hunter | Cybersecurity Enthusiast ```

标签：DAST, 安全报告, 库, 应急响应, 恶意软件分析, 数字取证, 自动化脚本