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mukul975
cb8d79e068
- Add validated mitre_attack frontmatter to all 754 skills (286 distinct techniques), verified against MITRE ATT&CK v19.1 via the official mitreattack-python library: 0 revoked, deprecated, or invalid IDs - Curate precise per-skill technique IDs for forensics, malware-analysis, threat-intel, and red-team skills (e.g. DCSync -> T1003.006, Kerberoasting -> T1558.003, Pass-the-Ticket -> T1550.003) - Reconcile v19.1 tactic restructuring: Defense Evasion split into Stealth (TA0005) and Defense Impairment (TA0112); revoked T1562.* family and T1070.001/.002 remapped to active equivalents (T1685.*) - Normalize word-split tags across 35 skills (remove filename-derived stopword tags, add semantic cybersecurity tags) - Add api-reference.md for 3 skills that were missing it - Update README ATT&CK section with accurate v19.1 tactic distribution
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: Analyze the threat landscape using MISP (Malware Information Sharing
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Platform) by querying event statistics, attribute distributions, threat actor galaxy
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clusters, and tag trends over time. Uses PyMISP to pull event data, compute IOC
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type breakdowns, identify top threat actors and malware families, and generate threat
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landscape reports with temporal trends.
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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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