Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
| Concept | Description |
|---|---|
| T1021 | Remote Services (parent technique) |
| T1021.001 | Remote Desktop Protocol (RDP) |
| T1021.002 | SMB/Windows Admin Shares |
| T1021.003 | Distributed COM (DCOM) |
| T1021.004 | SSH |
| T1021.006 | Windows Remote Management (WinRM) |
| T1570 | Lateral Tool Transfer |
| T1047 | Windows Management Instrumentation |
| T1569.002 | Service Execution (PsExec) |
| Logon Type 3 | Network logon (SMB, WinRM, mapped drives) |
| Logon Type 10 | Remote Interactive (RDP) |
| Event ID 4624 | Successful logon |
| Event ID 4648 | Explicit credential logon (runas, PsExec) |
| Tool | Purpose |
|---|---|
| Splunk Enterprise | SIEM for log aggregation and SPL queries |
| Splunk Enterprise Security | Threat detection and notable events |
| Windows Event Forwarding | Centralize Windows logs |
| Sysmon | Detailed process and network telemetry |
| BloodHound | AD attack path analysis |
| PingCastle | AD security assessment |
Hunt ID: TH-LATMOV-[DATE]-[SEQ]
Movement Type: [RDP/SMB/WinRM/WMI/DCOM/PsExec]
Source Host: [Hostname/IP]
Destination Host: [Hostname/IP]
Account Used: [Username]
Logon Type: [3/10/other]
First Seen: [Timestamp]
Event Count: [Number of events]
Risk Level: [Critical/High/Medium/Low]
Lateral Movement Path: [A -> B -> C -> D]
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概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。