본문으로 건너뛰기
cccskills
무료GitHub에 공개

detecting-lateral-movement-with-splunk

Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

실행 점수 미검증

설치 방법 보기

포함된 파일(7)

  • SKILL.md4.3 KB
  • assets/template.md1.2 KB
  • references/api-reference.md1.5 KB
  • references/standards.md2.6 KB
  • references/workflows.md4.6 KB
  • scripts/agent.py4.9 KB
  • scripts/process.py12.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Detecting Lateral Movement with Splunk

When to Use

  • When hunting for adversary movement between compromised systems
  • After detecting credential theft to trace subsequent lateral activity
  • When investigating unusual authentication patterns across the network
  • During incident response to scope the breadth of compromise
  • When proactively hunting for TA0008 (Lateral Movement) techniques

Prerequisites

  • Splunk Enterprise or Splunk Cloud with Windows event data ingested
  • Windows Security Event Logs forwarded (4624, 4625, 4648, 4672, 4768, 4769)
  • Sysmon deployed for process creation and network connection data
  • Network flow data or firewall logs for SMB/RDP/WinRM correlation
  • Active Directory user and group membership reference data

Workflow

  1. Define Lateral Movement Scope: Identify which lateral movement techniques to hunt (RDP, SMB/Admin Shares, WinRM, PsExec, WMI, DCOM, SSH).
  2. Query Authentication Events: Use SPL to search for Type 3 (Network) and Type 10 (RemoteInteractive) logons across the environment.
  3. Build Authentication Graphs: Map source-to-destination authentication relationships to identify unusual connection patterns.
  4. Detect First-Time Relationships: Identify new source-destination pairs that have not been seen in the historical baseline.
  5. Correlate with Process Activity: Link authentication events to subsequent process creation on destination hosts.
  6. Identify Anomalous Patterns: Flag lateral movement to sensitive servers, unusual hours, service account misuse, or rapid multi-host access.
  7. Report and Contain: Document lateral movement path, affected systems, and coordinate containment response.

Key Concepts

ConceptDescription
T1021Remote Services (parent technique)
T1021.001Remote Desktop Protocol (RDP)
T1021.002SMB/Windows Admin Shares
T1021.003Distributed COM (DCOM)
T1021.004SSH
T1021.006Windows Remote Management (WinRM)
T1570Lateral Tool Transfer
T1047Windows Management Instrumentation
T1569.002Service Execution (PsExec)
Logon Type 3Network logon (SMB, WinRM, mapped drives)
Logon Type 10Remote Interactive (RDP)
Event ID 4624Successful logon
Event ID 4648Explicit credential logon (runas, PsExec)

Tools & Systems

ToolPurpose
Splunk EnterpriseSIEM for log aggregation and SPL queries
Splunk Enterprise SecurityThreat detection and notable events
Windows Event ForwardingCentralize Windows logs
SysmonDetailed process and network telemetry
BloodHoundAD attack path analysis
PingCastleAD security assessment

Common Scenarios

  1. PsExec Lateral Movement: Adversary uses PsExec to execute commands on remote systems via SMB, generating Type 3 logon with ADMIN$ share access.
  2. RDP Pivoting: Attacker RDPs to internal systems using stolen credentials, creating Type 10 logon events.
  3. WMI Remote Execution: Adversary uses WMIC process call create to spawn processes on remote hosts.
  4. WinRM PowerShell Remoting: Attacker uses Enter-PSSession or Invoke-Command to execute code on remote systems.
  5. Pass-the-Hash via SMB: Compromised NTLM hashes used to authenticate to remote systems without knowing the plaintext password.

Output Format

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]

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Extract DPAPI-protected secrets such as credentials and browser data offline and online.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

andycungkrinx91/konoha122026년 10월 21일 업데이트

Audit, detect, and remediate Shadow Credentials misconfigurations on msDS-KeyCredentialLink in Active Directory. Focuses on access-controls, monitoring Event ID 5136, and credential-management hygiene.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

andycungkrinx91/konoha122026년 10월 21일 업데이트

Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

andycungkrinx91/konoha122026년 10월 21일 업데이트

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.

andycungkrinx91/konoha122026년 10월 21일 업데이트

Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

andycungkrinx91/konoha122026년 10월 21일 업데이트

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

andycungkrinx91/konoha122026년 10월 21일 업데이트

andycungkrinx91의 스킬 모두 보기

이 스킬의 문제 신고