Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
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Detect WMI event subscription persistence by analyzing Sysmon Event IDs 19, 20, and 21 for malicious EventFilter, EventConsumer, and FilterToConsumerBinding creation.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
| Concept | Description |
|---|---|
| Sysmon Event 19 | WmiEventFilter creation detected |
| Sysmon Event 20 | WmiEventConsumer creation detected |
| Sysmon Event 21 | WmiEventConsumerToFilter binding detected |
| T1546.003 | Event Triggered Execution: WMI Event Subscription |
| CommandLineEventConsumer | Executes system commands when filter triggers |
| ActiveScriptEventConsumer | Runs VBScript/JScript when filter triggers |
| Tool | Purpose |
|---|---|
| Sysmon | Windows event monitoring for WMI activity |
| WMI Explorer | GUI tool for browsing WMI namespaces |
| Autoruns | Sysinternals tool listing persistence mechanisms |
| PowerShell Get-WMIObject | Enumerate WMI event subscriptions |
| Splunk | SIEM analysis of Sysmon WMI events |
| Velociraptor | Endpoint WMI artifact collection |
Hunt ID: TH-WMI-[DATE]-[SEQ]
Technique: T1546.003
Host: [Hostname]
Event Type: [EventFilter|EventConsumer|Binding]
Consumer Type: [CommandLine|ActiveScript]
WQL Query: [Filter query text]
Command: [Executed command or script]
Risk Level: [Critical/High/Medium/Low]
Recommended Action: [Remove subscription, investigate lateral movement]
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Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
中文简介正在准备中。当前显示原文说明。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
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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.
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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.
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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.
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Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
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