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Mahipal
2fb6a9faff
Each rewritten description now states both what the skill does (concrete capability, named tools/artifacts) and an explicit when-to-use trigger, improving agent discovery/activation. Grounded in each skill's own body; changes confined to the `description` field only (bodies and all other frontmatter untouched). Produced by a gated audit->rewrite->recheck loop (548 -> 0 flagged) with a sampled anti-invention check (0 ungrounded). Schema: 817/817 pass. Framework-ID gate: 0 defects.
83 lines
2.3 KiB
Markdown
83 lines
2.3 KiB
Markdown
---
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name: analyzing-threat-landscape-with-misp
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description: Query a MISP (Malware Information Sharing Platform) instance via PyMISP
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to compute event statistics, IOC type breakdowns, threat actor galaxy clusters,
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and tag trends, and generate threat landscape reports with temporal trends. Use
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when asked to analyze threat intelligence data, summarize top threat actors or
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malware families, or produce a CTI landscape report from MISP events.
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domain: cybersecurity
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subdomain: threat-intelligence
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tags:
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- threat-intelligence
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- misp
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- threat-landscape
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- ioc-analysis
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- cti
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- threat-sharing
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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d3fend_techniques:
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- File Metadata Consistency Validation
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- Application Protocol Command Analysis
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- Identifier Analysis
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- Content Format Conversion
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- Message Analysis
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nist_csf:
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- ID.RA-01
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- ID.RA-05
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- DE.CM-01
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- DE.AE-02
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mitre_attack:
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- T1566
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- T1071.001
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- T1568
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- T1583.001
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- T1102
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---
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# Analyzing Threat Landscape with MISP
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## When to Use
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- When investigating security incidents that require analyzing threat landscape with misp
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Familiarity with threat intelligence concepts and tools
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- Access to a test or lab environment for safe execution
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- Python 3.8+ with required dependencies installed
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- Appropriate authorization for any testing activities
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## Instructions
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1. Install dependencies: `pip install pymisp`
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2. Configure MISP URL and API key.
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3. Run the agent to generate threat landscape analysis:
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- Pull event statistics by threat level and date range
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- Analyze attribute type distributions (IP, domain, hash, URL)
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- Identify top MITRE ATT&CK techniques from event tags
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- Track threat actor activity via galaxy clusters
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- Generate temporal trend analysis of IOC submissions
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```bash
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python scripts/agent.py --misp-url https://misp.local --api-key YOUR_KEY --days 90 --output landscape_report.json
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```
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## Examples
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### Threat Landscape Summary
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```
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Period: Last 90 days
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Events analyzed: 1,247
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Top threat level: High (43%)
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Top attribute type: ip-dst (31%), domain (22%), sha256 (18%)
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Top MITRE technique: T1566 Phishing (89 events)
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Top threat actor: APT28 (34 events)
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```
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