DE

detecting-mimikatz-execution-patterns

Identifies potential Mimikatz execution patterns for proactive cybersecurity threat hunting.

Install

mkdir -p .claude/skills/detecting-mimikatz-execution-patterns && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16320" && unzip -o skill.zip -d .claude/skills/detecting-mimikatz-execution-patterns && rm skill.zip

Installs to .claude/skills/detecting-mimikatz-execution-patterns

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Detect Mimikatz execution through command-line patterns, LSASS access signatures, binary indicators, and in-memory
114 charsno explicit “when” trigger
Advanced

Key capabilities

  • Proactively hunt for Mimikatz execution indicators
  • Analyze EDR telemetry for suspicious patterns
  • Query SIEM for relevant log data
  • Correlate findings across multiple data sources
  • Map detection findings to MITRE ATT&CK techniques

How it works

The skill outlines a workflow for detecting Mimikatz execution patterns by formulating hypotheses, identifying data sources, executing queries against EDR/SIEM platforms, analyzing results, and correlating activity to threat actor TTPs.

Inputs & outputs

You give it
Threat intelligence, ATT&CK gap analysis, EDR/SIEM alerts
You get back
Hunt ID, detected technique, host, user, evidence, risk level, confidence, and recommended action

When to use detecting-mimikatz-execution-patterns

  • Hunting for credential dumping threats
  • Analyzing EDR telemetry
  • Performing security assessments

About this skill

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

  1. Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
  2. Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
  3. Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
  4. Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
  5. Validate Findings: Distinguish true positives from false positives through contextual analysis.
  6. Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
  7. Document and Report: Record findings, update detection rules, and recommend response actions.

Key Concepts

ConceptDescription
T1003.001LSASS Memory
T1003.006DCSync
T1558.003Kerberoasting
T1558.001Golden Ticket

Tools & Systems

ToolPurpose
CrowdStrike FalconEDR telemetry and threat detection
Microsoft Defender for EndpointAdvanced hunting with KQL
Splunk EnterpriseSIEM log analysis with SPL queries
Elastic SecurityDetection rules and investigation timeline
SysmonDetailed Windows event monitoring
VelociraptorEndpoint artifact collection and hunting
Sigma RulesCross-platform detection rule format

Common Scenarios

  1. Scenario 1: Standard sekurlsa::logonpasswords credential dump
  2. Scenario 2: PowerShell Invoke-Mimikatz reflective loading
  3. Scenario 3: DCSync from non-DC host
  4. 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]

When not to use it

  • When EDR platform is not available
  • When SIEM with relevant log data is not ingested
  • When Sysmon is not deployed with complete configuration

Prerequisites

EDR platform with process and network telemetrySIEM with relevant log data ingestedSysmon deployed with complete configurationWindows Security Event Log forwarding enabled

Limitations

  • Requires an EDR platform with process and network telemetry.
  • Requires a SIEM with relevant log data ingested.
  • Requires Sysmon deployed with complete configuration.

How it compares

This skill provides a structured, proactive threat hunting workflow for Mimikatz detection, integrating EDR, SIEM, and MITRE ATT&CK, which is more complete than relying solely on automated alerts.

Compared to similar skills

detecting-mimikatz-execution-patterns side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
detecting-mimikatz-execution-patterns (this skill)02moNo flagsAdvanced
protocol-reverse-engineering97moReviewAdvanced
equilateral-agents59moNo flagsIntermediate
secops-triage47moNo flagsIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

zip

aibot88

Compress, extract, list, and encrypt ZIP archives in batch. Use when archiving files, extracting packages, listing contents, encrypting backups, or batching.

00

dev-supabase

aibot88

Backend development with Supabase. Trigger when the user wants to configure auth, the database, or Supabase storage.

00

configure-hooks

aibot88

This skill should be used when the user says "configure hooks", "set up quality gates", "add PostToolUse hook", "set up permission hooks", "create hook configuration", "add typecheck hook", "set up secret-scan hook", or wants to configure event-driven hooks for their Claude Code project. Validates a

00

integration-development

aibot88

Guide for creating new OAuth-based integrations in the Orient codebase. Use when adding external service integrations (APIs like Linear, GitHub, Slack, Notion, etc.), implementing OAuth flows, or creating catalog-based integration manifests. Covers the full integration lifecycle from manifest defini

00

regulatory-compliance

aibot88

Audit codebases for cross-industry regulatory compliance across SOX, GDPR, HIPAA, PCI-DSS, CCPA/CPRA, FedRAMP, FISMA, COPPA, and FERPA. Reviews audit trail completeness (who/what/when/where/why with tamper-evident storage), data retention policies and right-to-erasure workflows, RBAC/ABAC access con

00

karpathy-metric-pre

aibot88

Use this when: red-team my optimization metric, find ways to game my metric, metric pre-mortem, adversarial metric evaluation, gaming vectors for my KPI, what could an agent exploit in my metric, metric failure modes, proxy divergence risk, eval contamination, silent degradation from optimization, m

00

You might also like

protocol-reverse-engineering

wshobson

Master network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocols, or debugging network communication.

973

equilateral-agents

Equilateral-AI

22 production-ready AI agents with database-driven orchestration for security reviews, code quality analysis, deployment validation, infrastructure checks, and compliance. Auto-activates for security concerns, deployment tasks, code reviews, quality checks, and compliance questions. Includes upgrade paths to enterprise features (GDPR, HIPAA, multi-account AWS, ML-based optimization).

564

secops-triage

google

Expert guidance for security alert triage. Use this when the user asks to "triage" an alert or case.

424

netflows

BrownFineSecurity

Network flow extractor that analyzes pcap/pcapng files to identify outbound connections with automatic DNS hostname resolution. Use when you need to enumerate network destinations, identify what hosts a device communicates with, or map IP addresses to hostnames from packet captures.

18

azure-bgp

benchflow-ai

Analyze and resolve BGP oscillation and BGP route leaks in Azure Virtual WAN–style hub-and-spoke topologies (and similar cloud-managed BGP environments). Detect preference cycles, identify valley-free violations, and propose allowed policy-level mitigations while rejecting prohibited fixes.

26

secops-investigate

google

Expert guidance for deep security investigations. Use this when the user asks to "investigate" a case, entity, or incident.

17

Search skills

Search the agent skills registry