Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Build a structured SOC escalation matrix defining severity tiers, response SLAs, escalation paths, and notification procedures for security incidents.
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A SOC escalation matrix defines how security incidents move through the organization based on severity, impact, and response requirements. Modern SOCs use context-driven escalation combining business risk, asset criticality, and data sensitivity rather than purely severity-based models. Organizations using AI and automation in their SOC cut detection-and-containment lifecycle to approximately 161 days, an 80-day improvement over the 241-day industry average.
| Attribute | Value |
|---|---|
| Impact | Active data breach, ransomware spreading, critical systems compromised |
| Business Impact | Revenue loss, regulatory exposure, customer data at risk |
| Initial Response | 15 minutes |
| Escalation to Tier 2 | Immediate |
| Escalation to Management | 30 minutes |
| Resolution Target | 4 hours |
| Communication | Every 30 minutes to stakeholders |
| Examples | Active ransomware, confirmed data exfiltration, domain admin compromise |
| Attribute | Value |
|---|---|
| Impact | Confirmed compromise, limited scope, no active exfiltration |
| Business Impact | Potential revenue impact, contained risk |
| Initial Response | 30 minutes |
| Escalation to Tier 2 | 30 minutes if unresolved |
| Escalation to Management | 2 hours |
| Resolution Target | 8 hours |
| Communication | Every 2 hours to SOC management |
| Examples | Compromised user account, malware on single endpoint, insider threat indicator |
| Attribute | Value |
|---|---|
| Impact | Suspicious activity requiring investigation |
| Business Impact | Low immediate risk |
| Initial Response | 4 hours |
| Escalation to Tier 2 | 8 hours if unresolved |
| Resolution Target | 24 hours |
| Communication | Daily status update |
| Examples | Policy violation, failed brute force, suspicious email report |
| Attribute | Value |
|---|---|
| Impact | Informational alerts, routine security events |
| Business Impact | Minimal |
| Initial Response | 8 hours |
| Escalation | Only if pattern emerges |
| Resolution Target | 72 hours |
| Communication | Weekly summary |
| Examples | Vulnerability scan findings, expired certificates, policy exceptions |
Asset Criticality
Low Medium High Critical
Severity Low P4 P4 P3 P3
Medium P4 P3 P2 P2
High P3 P2 P2 P1
Critical P2 P1 P1 P1
| Trigger | Action |
|---|---|
| Ransomware detected on any endpoint | P1 - Immediate Tier 3 + Management |
| Domain admin account compromise | P1 - Immediate Tier 3 + Management |
| Active data exfiltration to external IP | P1 - Immediate Tier 3 + Management |
| Critical infrastructure (DC, SCADA) alert | P1 - Immediate Tier 2 minimum |
| Executive account anomaly | P2 - Immediate Tier 2 |
| Multiple hosts with same malware | P1 - Immediate Tier 2 |
| Condition | Action |
|---|---|
| P2 unresolved after 4 hours | Escalate to Tier 3 |
| P3 unresolved after 12 hours | Escalate to Tier 2 |
| Any incident unresolved past SLA | Escalate to SOC Manager |
| P1 unresolved after 2 hours | Escalate to CISO |
SUBJECT: [P1 CRITICAL] Security Incident - {Incident_ID}
Incident Summary:
- Type: {incident_type}
- Affected Systems: {systems}
- Affected Users: {users}
- Current Status: {status}
- Assigned To: {analyst}
Impact Assessment:
- Business Impact: {impact}
- Data at Risk: {data_risk}
- Containment Status: {containment}
Next Actions:
- {action_1}
- {action_2}
Next Update: {time} (30-minute intervals)
Bridge Line: {conference_details}
# XSOAR escalation playbook trigger
trigger:
condition: incident.severity == "critical" AND incident.asset_criticality == "high"
action:
- assign_tier: 3
- notify: [soc_manager, ciso]
- create_war_room: true
- start_bridge: true
- set_sla: 4h
auto_escalation_rules:
- name: P2 Time-Based Escalation
condition: incident.severity == "high" AND incident.age > 4h AND incident.status != "resolved"
action:
- escalate_tier: 3
- notify: soc_manager
- add_comment: "Auto-escalated due to SLA breach"
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。