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Detect Kerberos Pass-the-Ticket (PtT) attacks by analyzing Windows Event IDs 4768, 4769, and 4771 for anomalous ticket usage patterns in Splunk and Elastic SIEM

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Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and standardize enrichment outputs. Use when building automated enrichment workflows integrated with SIEM alerts, email submission pipelines, or bulk IOC processing from threat feeds. Activates for requests involving SOAR enrichment, Cortex XSOAR, Splunk SOAR, TheHive, Python enrichment pipelines, or automated IOC processing.

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Builds vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends.

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Builds real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response timeline. Use when IR teams need unified visibility during incident coordination and post-incident reporting.

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Detect Kerberos Pass-the-Ticket (PtT) attacks by analyzing Windows Event IDs 4768, 4769, and 4771 for anomalous ticket usage patterns in Splunk and Elastic SIEM

中文简介正在准备中。当前显示原文说明。

Detect Kerberos Golden Ticket forgery by analyzing Windows Event ID 4769 for RC4 encryption downgrades (0x17), abnormal ticket lifetimes, and krbtgt account anomalies in Splunk and Elastic SIEM

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Builds vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends.

中文简介正在准备中。当前显示原文说明。

Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and standardize enrichment outputs. Use when building automated enrichment workflows integrated with SIEM alerts, email submission pipelines, or bulk IOC processing from threat feeds. Activates for requests involving SOAR enrichment, Cortex XSOAR, Splunk SOAR, TheHive, Python enrichment pipelines, or automated IOC processing.

中文简介正在准备中。当前显示原文说明。

Builds real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response timeline. Use when IR teams need unified visibility during incident coordination and post-incident reporting.

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Investigate suspicious privilege increases, including Windows UAC approval bypasses and Linux sudo or setuid abuse. Use registry changes, process relationships, and permission changes to identify possible abuse and document affected hosts, methods, and risk levels.

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• Investigating Windows UAC bypass activity
• Tracing how administrative access was obtained
• Monitoring Linux sudo and setuid abuse

Investigate Windows credential theft by correlating endpoint monitoring data, Sysmon events, and security logs. The skill provides detection queries and a reporting format to identify suspicious access and assess which credentials may be compromised.

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• Investigating alerts about suspicious LSASS access
• Hunting for credential theft across Windows systems
• Assessing the scope of potentially compromised credentials

Build detection rules for suspicious Windows scheduled tasks by correlating Sysmon and Windows Security logs. Examine parent processes, file paths, encoded commands, and remote task creation to uncover persistent access and movement between systems.

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• Investigating suspicious scheduled task creation
• Hunting for tasks that run encoded commands
• Detecting remote task creation across systems

Analyze Sysmon logs to investigate process injection, where malicious code hides inside legitimate processes. Correlate remote thread creation, cross-process access, and unusual DLL loading, then organize findings by injection type, risk level, and ATT&CK technique.

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• Investigating EDR alerts about suspicious cross-process access
• Hunting for malicious code hidden inside legitimate processes
• Checking Sysmon coverage for process injection detection

Develop network monitoring for signs that may precede ransomware encryption. Uses detection rules, linked log events, and threat intelligence to identify suspicious activity and define how alerts should be investigated, prioritized, and escalated.

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• Creating detection rules for activity before ransomware encryption
• Linking suspicious logins, scans, and file share access
• Investigating unusual internal network communications

Investigate suspicious PowerShell activity using endpoint monitoring data and security logs. Examine encoded commands, downloads, and attempts to evade inspection, then document evidence, affected systems, risk, and recommended response actions.

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• Hunting for suspicious PowerShell execution
• Investigating endpoint and security log alerts
• Assessing the scope of a PowerShell-related incident

Investigate NTLM relay, an attack that forwards authentication messages to another service, by comparing Windows login events with host inventories. Use the supplied queries and audits to identify suspicious sources, weaker authentication, and gaps in signing enforcement.

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• Investigating mismatched login source addresses and hostnames
• Building SIEM rules to detect NTLM relay
• Auditing SMB and LDAP signing requirements

Investigate DCSync attacks, which abuse Active Directory replication to steal password hashes. Use audit events and network traffic to identify suspicious replication requests, examine their sources, and check for subsequent credential misuse.

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• Hunting for credential theft in Active Directory
• Investigating suspected Mimikatz or Impacket use
• Auditing accounts with directory replication permissions

Analyze authentication logs to spot suspicious sign-ins, password attacks, and possible account compromise. Statistical baselines and machine learning help compare login activity with normal user behavior, while example SIEM queries support security investigations.

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• Investigating suspicious sign-in alerts
• Detecting geographically inconsistent logins
• Finding brute force and password spraying

Examine Windows endpoint logs for attempts to avoid security detection, including log clearing, altered file timestamps, injected code, and disabled protection. Correlate events to investigate suspicious behavior and develop detection rules with context for legitimate activity.

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• Investigating cleared logs and altered file timestamps
• Checking suspected attempts to disable security tools
• Finding abuse of legitimate Windows utilities

Investigate attackers moving between internal systems by correlating login records with network traffic. Supports detection rules, suspicious SMB and RDP activity analysis, and reports showing attack timelines, affected hosts, and monitoring gaps.

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• Investigating attacker movement across internal systems
• Creating rules for suspicious authentication patterns
• Tracing affected hosts after a PsExec alert

Build detections for fileless attacks on Windows using process activity, script logs, and endpoint monitoring. Investigate suspicious PowerShell, code injected into running processes, WMI persistence, and registry-based execution with logging guidance and detection query examples.

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• Building detections for suspicious PowerShell activity
• Hunting for code injection into running processes
• Monitoring WMI persistence and registry-based execution

Deploy decoy accounts, service entries, and policy objects in Active Directory to detect suspicious activity. Configure monitoring rules for Windows security events and validate alerts for credential misuse, reconnaissance, and movement between systems.

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• Detecting Kerberoasting with decoy service entries
• Monitoring attempts to use decoy credentials
• Placing credential traps in decoy Group Policy objects

Deploy CrowdStrike Falcon sensors across Windows, macOS, and Linux endpoints. Configure threat prevention and response policies, verify installation and detection, troubleshoot sensor issues, and connect events to SIEM platforms, which collect security logs for analysis.

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• Deploying Falcon sensors across enterprise endpoints
• Configuring prevention and response policies by endpoint group
• Checking sensor connectivity and test detections

Set up Microsoft Sentinel to collect security logs from AWS, Azure, and GCP. Build detection queries, investigate historical activity, and create automated response workflows for a centralized security operations team.

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• Centralizing security monitoring across multiple clouds
• Migrating from an existing SIEM platform
• Automating responses to suspicious cloud activity