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triaging-security-incident分类安全事件

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

612

周安装

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GitHub Stars

5,923

下载量

214
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:triaging-security-incident(分类安全事件)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/triaging-security-incident
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill triaging-security-incident
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill triaging-security-incident

简介

用于辅助安全审计、权限检查和常见漏洞排查。

  • 适合梳理敏感配置、分析鉴权逻辑或生成安全复核清单。
  • 不能将工具输出直接当作最终结论,需人工复核。
  • 涉及密钥、用户数据时应确认最小权限和脱敏方式。
  • triaging-security-incident 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Triaging Security Incidents

When to Use

  • A SIEM or EDR alert fires and requires human classification before escalation
  • Multiple concurrent alerts arrive and the SOC must prioritize response order
  • An end user reports suspicious activity and the incident needs initial categorization
  • A threat intelligence feed matches an IOC observed in the environment

Do not use for routine vulnerability scanning results or compliance audit findings that do not represent active security incidents.

Prerequisites

  • Access to SIEM platform (Splunk, Elastic, Microsoft Sentinel) with current alert data
  • Incident classification taxonomy aligned to NIST SP 800-61r3 categories
  • Predefined severity matrix mapping asset criticality to threat type
  • Contact roster for escalation paths (Tier 1 through Tier 3 and CIRT)
  • Asset inventory with business criticality ratings

Workflow

Step 1: Collect Initial Alert Data

Gather all available context from the triggering alert before making classification decisions:

  • Alert source: Which detection system generated the alert (EDR, SIEM, IDS/IPS, firewall, user report)
  • Timestamp: When the event occurred and when it was detected (dwell time gap)
  • Affected assets: Hostnames, IP addresses, user accounts involved
  • Alert fidelity: Historical true-positive rate for this detection rule
  • Raw evidence: Log entries, packet captures, process execution chains
Example SIEM alert context:
Source:       CrowdStrike Falcon
Detection:    Suspicious PowerShell Execution (T1059.001)
Host:         WORKSTATION-FIN-042
User:         jsmith@corp.example.com
Timestamp:    2025-11-15T14:23:17Z
Severity:     High (detection rule confidence: 92%)
Process:      powershell.exe -enc SQBFAFgAIAAoAE4AZQB3AC0ATwBiAGoA...
Parent:       outlook.exe (PID 4812)

Step 2: Classify the Incident Type

Map the alert to a standard incident category per NIST SP 800-61r3:

CategoryExamples
Unauthorized AccessCompromised credentials, privilege escalation, IDOR
Denial of ServiceVolumetric DDoS, application-layer flood, resource exhaustion
Malicious CodeMalware execution, ransomware detonation, cryptominer
Improper UsagePolicy violation, insider data exfiltration, shadow IT
ReconnaissancePort scanning, directory enumeration, credential spraying
Web Application AttackSQL injection, XSS, SSRF exploitation

Step 3: Assign Severity Using Impact Matrix

Calculate severity by combining asset criticality with threat severity:

Severity = f(Asset Criticality, Threat Type, Data Sensitivity, Lateral Movement Potential)

Critical (P1): Crown jewel systems compromised, active data exfiltration, ransomware spreading
High (P2):     Production system compromise, confirmed malware execution, privileged account takeover
Medium (P3):   Non-production compromise, unsuccessful exploitation attempt, single endpoint malware
Low (P4):      Reconnaissance activity, policy violation, benign true positive

Response SLA targets:

  • P1: Acknowledge within 15 minutes, containment within 1 hour
  • P2: Acknowledge within 30 minutes, containment within 4 hours
  • P3: Acknowledge within 2 hours, investigation within 24 hours
  • P4: Acknowledge within 8 hours, investigation within 72 hours

Step 4: Perform Initial Enrichment

Before escalation, enrich the alert with contextual data:

  • Threat intelligence: Check IOCs (IP, hash, domain) against TI platforms (VirusTotal, OTX, MISP)
  • Asset context: Query CMDB for asset owner, business function, data classification
  • User context: Check identity provider for recent authentication anomalies, MFA status
  • Historical correlation: Search for related alerts on the same host/user in the past 30 days
  • Network context: Verify if source/destination IPs are internal, known partners, or external threat actors

Step 5: Document and Escalate

Create a structured triage record and route to the appropriate response tier:

Incident Triage Record
━━━━━━━━━━━━━━━━━━━━━
Ticket ID:       INC-2025-1547
Triage Analyst:  [analyst name]
Triage Time:     2025-11-15T14:35:00Z (12 min from alert)
Classification:  Malicious Code - Macro-based initial access
Severity:        P2 - High
Affected Assets: WORKSTATION-FIN-042 (Finance dept, handles PII)
Affected Users:  jsmith@corp.example.com
IOCs Identified: powershell.exe spawned by outlook.exe, encoded command
TI Matches:      Base64 payload matches known Qakbot loader pattern
Escalation:      Tier 2 - Malware IR team
Recommended:     Isolate endpoint, preserve memory dump, block sender domain

Step 6: Initiate Containment Hold

If severity is P1 or P2, initiate immediate containment actions while awaiting full investigation:

  • Network-isolate the affected endpoint via EDR (CrowdStrike contain, Defender isolate)
  • Disable compromised user accounts in Active Directory or identity provider
  • Block identified malicious IPs/domains at firewall and DNS sinkhole
  • Preserve volatile evidence (memory dump) before any remediation

Key Concepts

TermDefinition
TriageRapid assessment process to classify and prioritize security incidents based on severity and business impact
PICERLSANS incident response framework: Preparation, Identification, Containment, Eradication, Recovery, Lessons Learned
Dwell TimeDuration between initial compromise and detection; average is 10 days per Mandiant M-Trends 2025
True Positive RatePercentage of alerts from a detection rule that represent genuine security incidents
Crown Jewel AssetsSystems and data critical to business operations whose compromise would cause severe organizational impact
Alert FatigueDegraded analyst performance caused by high volumes of low-fidelity or false-positive alerts
Mean Time to Acknowledge (MTTA)Average time from alert generation to analyst acknowledgment; key SOC performance metric

Tools & Systems

  • Splunk Enterprise Security: SIEM platform for alert aggregation, correlation, and triage workflow management
  • CrowdStrike Falcon: EDR platform providing endpoint telemetry, detection, and one-click host containment
  • TheHive: Open-source incident response platform for case management, task tracking, and team collaboration
  • MISP: Threat intelligence sharing platform for IOC enrichment during triage
  • Cortex XSOAR: SOAR platform for automating enrichment playbooks and triage decision trees

Common Scenarios

Scenario: Encoded PowerShell from Email Client

Context: SOC analyst receives a P2 alert showing powershell.exe with a Base64-encoded command spawned as a child process of outlook.exe on a finance department workstation.

Approach:

  1. Decode the Base64 payload to determine the command intent
  2. Check the parent process chain for anomalies (Outlook spawning PowerShell is abnormal)
  3. Query VirusTotal for the decoded payload hash
  4. Correlate with email gateway logs to identify the triggering email and sender
  5. Check if other recipients in the organization received the same email
  6. Isolate the endpoint and escalate to Tier 2 with full triage context

Pitfalls:

  • Dismissing encoded PowerShell as a false positive without decoding the payload
  • Failing to check for lateral spread to other recipients of the same phishing email
  • Remediating the endpoint before capturing volatile memory evidence

Output Format

INCIDENT TRIAGE REPORT
======================
Ticket:          INC-[YYYY]-[NNNN]
Date/Time:       [ISO 8601 timestamp]
Triage Analyst:  [Name]
Time to Triage:  [minutes from alert to classification]

CLASSIFICATION
Type:            [NIST category]
Severity:        [P1-P4] - [Critical/High/Medium/Low]
Confidence:      [High/Medium/Low]
MITRE ATT&CK:   [Technique ID and name]

AFFECTED SCOPE
Assets:          [hostname(s), IP(s)]
Users:           [account(s)]
Data at Risk:    [classification level]
Business Unit:   [department]

EVIDENCE SUMMARY
[Bullet list of key observations]

ENRICHMENT RESULTS
TI Matches:      [Yes/No - details]
Historical:      [Related prior incidents]
Asset Criticality: [rating]

RECOMMENDED ACTIONS
1. [Immediate action]
2. [Investigation step]
3. [Escalation target]

ESCALATION
Routed To:       [Team/Individual]
SLA Target:      [Containment deadline]

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.41%
按下载量换算82

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28.67%
按下载量换算61

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18.78%
按下载量换算40

Gemini CLI

9.28%
按下载量换算20

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