Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
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Detect process injection techniques (T1055) including classic DLL injection, process hollowing, and APC injection by analyzing Sysmon events for cross-process memory operations, remote thread creation, and anomalous DLL loading patterns.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
| Concept | Description |
|---|---|
| T1055.001 | Dynamic-link Library Injection |
| T1055.002 | Portable Executable Injection |
| T1055.003 | Thread Execution Hijacking |
| T1055.004 | Asynchronous Procedure Call (APC) Injection |
| T1055.005 | Thread Local Storage |
| T1055.012 | Process Hollowing |
| T1055.013 | Process Doppelganging |
| T1055.015 | ListPlanting |
| Sysmon Event 8 | CreateRemoteThread detected |
| Sysmon Event 10 | ProcessAccess with memory write permissions |
| Sysmon Event 25 | ProcessTampering (image mismatch) |
| Access Mask 0x1FFFFF | PROCESS_ALL_ACCESS -- full cross-process control |
| Tool | Purpose |
|---|---|
| Sysmon | Primary telemetry source for injection detection |
| Process Hacker | Manual investigation of process memory regions |
| PE-sieve | Scan running processes for hollowed/injected code |
| Moneta | Detect anomalous memory regions in processes |
| Splunk / Elastic | SIEM correlation of Sysmon events |
| Volatility | Memory forensics for injection artifacts |
| Hollows Hunter | Automated scan for hollowed processes |
index=sysmon EventCode=8
| where SourceImage!=TargetImage
| where NOT match(SourceImage, "(?i)(csrss|lsass|services|svchost|MsMpEng|SecurityHealthService|vmtoolsd)\.exe$")
| eval suspicious=if(match(TargetImage, "(?i)(svchost|explorer|lsass|winlogon|csrss|services)\.exe$"), "high_value_target", "normal_target")
| where suspicious="high_value_target"
| table _time Computer SourceImage SourceProcessId TargetImage TargetProcessId StartFunction NewThreadId
index=sysmon EventCode=10
| where SourceImage!=TargetImage
| where match(GrantedAccess, "(0x1FFFFF|0x1F3FFF|0x143A|0x0040)")
| where match(TargetImage, "(?i)(lsass|svchost|explorer|winlogon)\.exe$")
| where NOT match(SourceImage, "(?i)(MsMpEng|csrss|services|svchost|taskmgr|procexp)\.exe$")
| table _time Computer SourceImage TargetImage GrantedAccess CallTrace
DeviceEvents
| where Timestamp > ago(7d)
| where ActionType == "CreateRemoteThreadApiCall"
| where InitiatingProcessFileName !in~ ("csrss.exe", "lsass.exe", "services.exe", "svchost.exe")
| where FileName in~ ("svchost.exe", "explorer.exe", "lsass.exe", "winlogon.exe")
| project Timestamp, DeviceName, InitiatingProcessFileName, InitiatingProcessCommandLine,
FileName, ProcessCommandLine
title: Process Injection via CreateRemoteThread into System Process
status: stable
logsource:
product: windows
category: create_remote_thread
detection:
selection:
TargetImage|endswith:
- '\svchost.exe'
- '\explorer.exe'
- '\lsass.exe'
- '\winlogon.exe'
filter_legitimate:
SourceImage|endswith:
- '\csrss.exe'
- '\lsass.exe'
- '\services.exe'
- '\MsMpEng.exe'
condition: selection and not filter_legitimate
level: high
tags:
- attack.defense_evasion
- attack.t1055
Hunt ID: TH-INJECT-[DATE]-[SEQ]
Host: [Hostname]
Source Process: [Injecting process path]
Source PID: [Process ID]
Target Process: [Target process path]
Target PID: [Process ID]
Injection Type: [DLL/Shellcode/Hollowing/APC]
Sysmon Events: [Event IDs triggered]
Access Mask: [Granted access value]
Risk Level: [Critical/High/Medium/Low]
ATT&CK Sub-Technique: [T1055.xxx]
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Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.