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threat-hunting

Investigate signs of intrusion through hypothesis-led log searches, then turn findings into detection rules. Supports Sigma, YARA, and SIEM queries, with attention to false positives, data field mapping, and validation against historical logs.

OriginalShow the original description

Use for blue-team threat hunting, detection engineering with Sigma/YARA, SIEM query design, and incident detection validation.

Run score Not tested

See how to install

Good for

  • Hunting for intrusion signs in security logs
  • Turning findings into Sigma or YARA rules
  • Investigating false positives and tuning alerts
  • Validating detections with historical logs

Files included (2)

  • SKILL.md2.0 KB
  • references/hunting-loop.md181 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Threat Hunting & Detection Engineering

ACTION REQUIRED(读完后立刻执行)

  1. NOW: 确认蓝队/狩猎授权与数据源范围(SIEM、EDR 导出)
  2. NOW: 明确假说(hypothesis)再查数,避免无脑刷告警
  3. NEXT: 工具与数据接入方式
  4. ACT: 假说 → 查询 → 验证 → 规则化

适用场景

  • 威胁狩猎(hypothesis-driven)
  • Sigma / YARA 检测工程
  • 告警调优、误报分析
  • 与 malware-analysis/:样本侧 IOC → 本 skill 落地检测
  • 与 digital-forensics/:案件伪影 → 横向狩猎

工作流

1. 建假说

例:攻击者用 living-off-the-land 做横向
→ 数据源:Sysmon 1/3/10、Windows Security 4624/4648
→ 成功标准:发现异常父进程或罕见账户日志源

2. 查询与堆叠

□ 基线:正常管理员行为时段与主机
□ 异常:新服务、编码 PowerShell、异常出站
□ 关联:同账号多主机短时登录

3. 规则化

# Sigma 骨架见 malware-analysis;本 skill 强调:
# - 误报面
# - 数据源字段映射
# - 响应 playbook 链接

4. 验证

□ 原子测试(Atomic Red Team)仅在授权实验室
□ 回放历史日志验证召回

工具链

工具用途
Sigma CLI / sigmac规则转换
YARA文件/内存
SIEM(ELK/Splunk 等)查询
osquery端点狩猎
Atomic Red Team检测验证(实验室)

参考

  • references/hunting-loop.md
  • ../malware-analysis/references/yara-sigma-rules.md
  • ../digital-forensics/

路由上下文

上游: MASTER R27
下游: 确认入侵 → forensics;恶意样本 → malware-analysis
MUST NOT: 在无授权生产环境跑攻击模拟

任务完成自检

  • 是否有明确假说与结论?
  • 规则是否注明误报与数据源?
  • Checklist?

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