security analyst security skill risk: medium
MISP Threat Landscape Analysis Guide
The prompt provides step-by-step instructions for analyzing threat landscape with MISP, including dependency installation, API configuration, and running a script to pull event sta…
- External action: medium
SKILL 4 files · 2 folders
SKILL.md
--- name: analyzing-threat-landscape-with-misp description: "Analyze the threat landscape using MISP (Malware Information Sharing Platform) by querying event statistics," --- # Analyzing Threat Landscape with MISP ## When to Use - When investigating security incidents that require analyzing threat landscape with misp - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Familiarity with threat intelligence concepts and tools - Access to a test or lab environment for safe execution - Python 3.8+ with required dependencies installed - Appropriate authorization for any testing activities ## Instructions 1. Install dependencies: `pip install pymisp` 2. Configure MISP URL and API key. 3. 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 ``` ## Examples ### Threat Landscape Summary ``` 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) ```
INPUTS
- misp-url REQUIRED
-
URL of the MISP instance
e.g. https://misp.local
- api-key REQUIRED
-
API key for MISP authentication
e.g. YOUR_KEY
- days
-
Number of days for the analysis window
e.g. 90
- output
-
Path for the generated report JSON
e.g. landscape_report.json
REQUIRED CONTEXT
- MISP URL
- MISP API key
OPTIONAL CONTEXT
- days
- output file path
EXPECTED OUTPUT
- Format
- markdown
- Constraints
-
- include setup commands
- include example CLI invocation
- include sample analysis summary
EXAMPLES
Includes one threat landscape summary example with period, events, top threat level, attributes, techniques and actors.
CAVEATS
- Dependencies
-
- Familiarity with threat intelligence concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
- Missing context
-
- Exact expected structure of landscape_report.json
- Python dependency versions beyond 3.8+
- How to handle production vs lab MISP instances
- Ambiguities
-
- Does not specify what 'the agent' refers to or how agent.py is implemented
- Lacks details on handling authentication errors or MISP connection issues
QUALITY
- OVERALL
- 0.68
- CLARITY
- 0.80
- SPECIFICITY
- 0.65
- REUSABILITY
- 0.70
- COMPLETENESS
- 0.60
IMPROVEMENT SUGGESTIONS
- Add explicit output schema or JSON structure for the report
- Include error-handling steps and logging guidance in the instructions
- Specify required pymisp version and any additional Python packages
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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