analyzing-threat-landscape-with-misp
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English🇨🇳
Translation
ChineseInstructions
操作说明
- Install dependencies:
pip install pymisp - Configure MISP URL and API key.
- Run the agent to generate threat landscape analysis:
- Pull event statistics by threat level and date range
- Analyze attribute type distributions (IP, domain, hash, URL)
- Identify top MITRE ATT&CK techniques from event tags
- Track threat actor activity via galaxy clusters
- Generate temporal trend analysis of IOC submissions
bash
python scripts/agent.py --misp-url https://misp.local --api-key YOUR_KEY --days 90 --output landscape_report.json- 安装依赖:
pip install pymisp - 配置MISP URL和API密钥。
- 运行agent生成威胁态势分析:
- 按威胁级别和日期范围拉取事件统计数据
- 分析属性类型分布(IP、域名、哈希值、URL)
- 从事件标签中识别顶级MITRE ATT&CK技术
- 通过星系集群追踪威胁参与者活动
- 生成IOC提交的时间趋势分析
bash
python scripts/agent.py --misp-url https://misp.local --api-key YOUR_KEY --days 90 --output landscape_report.jsonExamples
示例
Threat Landscape Summary
威胁态势摘要
Period: Last 90 days
Events analyzed: 1,247
Top threat level: High (43%)
Top attribute type: ip-dst (31%), domain (22%), sha256 (18%)
Top MITRE technique: T1566 Phishing (89 events)
Top threat actor: APT28 (34 events)Period: Last 90 days
Events analyzed: 1,247
Top threat level: High (43%)
Top attribute type: ip-dst (31%), domain (22%), sha256 (18%)
Top MITRE technique: T1566 Phishing (89 events)
Top threat actor: APT28 (34 events)