detecting-mimikatz-execution-patterns
Detect Mimikatz credential-dumping activity via command-line pattern matching, LSASS access signatures, binary/hash indicators, and in-memory detection of known Mimikatz modules. Use when threat hunting for T1003 credential access, triaging EDR/SIEM alerts on LSASS access, scoping compromise during incident response, or validating detection coverage in a purple team exercise.
- License 许可
- Apache-2.0
- 最近更新
- 2026-08-31
- Stars
- ★ 3.6w
- Forks
- 4.4k
01 前言 Front Matter
- name
- detecting-mimikatz-execution-patterns
- tags
- [ "threat-hunting", "mitre-attack", "mimikatz", "credential-dumping", "edr", "t1003", "proactive-detection" ]
- author
- mahipal
- domain
- cybersecurity
- license
- Apache-2.0
- version
- 1.0
- nist_csf
- [ "DE.CM-01", "DE.AE-02", "DE.AE-07", "ID.RA-05" ]
- subdomain
- threat-hunting
- description
- Detect Mimikatz credential-dumping activity via command-line pattern matching, LSASS access signatures, binary/hash indicators, and in-memory detection of known Mimikatz modules. Use when threat hunting for T1003 credential access, triaging EDR/SIEM alerts on LSASS access, scoping compromise during incident response, or validating detection coverage in a purple team exercise.
- mitre_attack
- [ "T1046", "T1057", "T1082", "T1083", "T1003" ]
- d3fend_techniques
- [ "Execution Isolation", "Process Termination", "Hardware-based Process Isolation", "Web Session Access Mediation", "Process Suspension" ]
02 资源文件 15
- 资产文件assets/template.md2.6 KB
- 许可证LICENSE11.0 KB
- 参考文档references/api-reference.md1.6 KB
- 参考文档references/concurrency.md9.4 KB
- 参考文档references/errors.md8.9 KB
- 参考文档references/interfaces.md8.5 KB
- 参考文档references/readability.md5.0 KB
- 参考文档references/standards.md1.6 KB
- 参考文档references/structure.md5.7 KB
- 参考文档references/tests.md5.6 KB
- 参考文档references/types.md8.7 KB
- 参考文档references/workflows.md2.8 KB
- 脚本scripts/agent.py5.8 KB
- 脚本scripts/process.py3.6 KB
- 参考文档sources.md11.0 KB
03 SKILL.md 正文
Detecting Mimikatz Execution Patterns
When to Use
- When proactively hunting for indicators of detecting mimikatz execution patterns in the environment
- After threat intelligence indicates active campaigns using these techniques
- During incident response to scope compromise related to these techniques
- When EDR or SIEM alerts trigger on related indicators
- During periodic security assessments and purple team exercises
Prerequisites
- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)
- SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)
- Sysmon deployed with comprehensive configuration
- Windows Security Event Log forwarding enabled
- Threat intelligence feeds for IOC correlation
Workflow
- Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
- Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
- Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
- Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
- Validate Findings: Distinguish true positives from false positives through contextual analysis.
- Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
- Document and Report: Record findings, update detection rules, and recommend response actions.
Key Concepts
| Concept | Description |
|---|---|
| T1003.001 | LSASS Memory |
| T1003.006 | DCSync |
| T1558.003 | Kerberoasting |
| T1558.001 | Golden Ticket |
Tools & Systems
| Tool | Purpose |
|---|---|
| CrowdStrike Falcon | EDR telemetry and threat detection |
| Microsoft Defender for Endpoint | Advanced hunting with KQL |
| Splunk Enterprise | SIEM log analysis with SPL queries |
| Elastic Security | Detection rules and investigation timeline |
| Sysmon | Detailed Windows event monitoring |
| Velociraptor | Endpoint artifact collection and hunting |
| Sigma Rules | Cross-platform detection rule format |
Common Scenarios
- Scenario 1: Standard sekurlsa::logonpasswords credential dump
- Scenario 2: PowerShell Invoke-Mimikatz reflective loading
- Scenario 3: DCSync from non-DC host
- Scenario 4: Golden ticket creation for persistence
Output Format
Hunt ID: TH-DETECT-[DATE]-[SEQ]
Technique: T1003.001
Host: [Hostname]
User: [Account context]
Evidence: [Log entries, process trees, network data]
Risk Level: [Critical/High/Medium/Low]
Confidence: [High/Medium/Low]
Recommended Action: [Containment, investigation, monitoring]
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