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threat-hunting

Blue-team threat hunting: detection engineering with Sigma/YARA, SIEM query design, and validation of incident detections against known technique patterns.

Published by sickn33 ↗sickn33/agentic-awesome-skills

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threat-hunting

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Use threat-hunting to validate the existing authorized detection/query [rule or query and intended hypothesis] against [exported historical telemetry, schema, and date range] with the available local query runner. Compare administrator baselines to relevant anomalous process, service, logon, and outbound patterns; replay the historical data; and return evidence-backed recall and false-positive findings plus any observed field-mapping or tuning boundaries. Distinguish no evidence from no compromise, report missing telemetry or unsupported fields, and do not deploy rules or run attack simulations outside a separately authorized lab.

Required inputs

[rule or query and intended hypothesis]
[exported historical telemetry, schema, and date range]

User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗

SKILL.md

name: threat-huntingdescription: "Blue-team threat hunting: detection engineering with Sigma/YARA, SIEM query design, and validation of incident detections against known technique patterns."risk: safesource: "https://github.com/zhaoxuya520/reverse-skill"source_repo: "zhaoxuya520/reverse-skill"source_type: communitydate_added: "2026-08-25"license: "MIT"license_source: "https://github.com/zhaoxuya520/reverse-skill/blob/main/LICENSE"

Threat Hunting & Detection Engineering

When to Use

Proactively hunting for adversary activity in telemetry.
Writing or validating detection rules mapped to ATT&CK techniques.

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？

Limitations

Hypothesis quality bounds results; weak telemetry yields weak hunts.
Rule tuning is continuous; expect false positives initially.

Adapted from zhaoxuya520/reverse-skill (MIT).