skills/blue-team/ioc-analysis/SKILL.md
Analyzes indicators of compromise (IOCs) to detect and respond to cybersecurity threats.
npx skillsauth add alphaonedev/openclaw-graph ioc-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill enables the analysis of indicators of compromise (IOCs), such as IP addresses, domains, file hashes, and URLs, to identify potential threats, correlate them with known attack patterns, and generate actionable insights for cybersecurity defense.
Always initialize the skill with authentication via the $OPENCLAW_API_KEY environment variable. Use the CLI for quick queries or the API for programmatic integration. For CLI, pipe inputs from files; for API, handle requests in loops for batch processing. Validate IOC formats before submission (e.g., IPv4 as dotted decimal). Structure workflows to check for errors after each call and retry transient failures.
openclaw ioc-analysis --ioc 192.168.1.1 --type ip --output json to analyze an IP; add --feed custom for a specific threat feed.--timeout 30 to set request timeout in seconds; --verbose for detailed logs.https://api.openclaw.com/v1/ioc-analysis with JSON body like {"ioc": "example.com", "type": "domain"}.Authorization: Bearer $OPENCLAW_API_KEY.{"feeds": ["virustotal", "alienvault"], "threshold": 0.7} in a file passed via --config path/to/config.json.import os
import requests
api_key = os.environ.get('OPENCLAW_API_KEY')
response = requests.post('https://api.openclaw.com/v1/ioc-analysis', headers={'Authorization': f'Bearer {api_key}'}, json={'ioc': '8.8.8.8', 'type': 'ip'})
print(response.json()['threats'])
export OPENCLAW_API_KEY=your_key_here
curl -H "Authorization: Bearer $OPENCLAW_API_KEY" -X POST https://api.openclaw.com/v1/ioc-analysis -d '{"ioc": "badfile.exe", "type": "hash"}'
Integrate by importing the OpenClaw SDK in your application; for example, in Python, use from openclaw import IOCAnalyzer. Set up webhooks for real-time notifications by configuring {"webhook_url": "https://your.endpoint.com/alerts"} in the API request body. Combine with other blue-team skills by chaining outputs, e.g., pipe IOC results to a threat-detection skill. Ensure compatibility by matching API versions (e.g., v1) and handle rate limits with exponential backoff. For containerized environments, mount config files as volumes and inject $OPENCLAW_API_KEY via secrets.
Check HTTP status codes after API calls; for 401, prompt for re-authentication. For 429 (rate limit), implement a retry loop with delays: wait 5 seconds and retry up to 3 times. Parse JSON errors for specifics, e.g., if "error": "Invalid IOC format", validate inputs first using regex (e.g., for IPs: r'^\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}$'). In CLI, capture stderr and exit codes; use try-except in code snippets to log exceptions and fallback to default actions.
Example 1: Analyze a Suspicious IP
During an incident, query an IP from a firewall log: Run openclaw ioc-analysis --ioc 192.168.1.100 --type ip --feed virustotal. This returns JSON with threats like "associated with malware C2". In code: Use the snippet above, then if response['score'] > 0.5, trigger a block command.
Example 2: Bulk Domain Check
For threat hunting, process a list of domains from a CSV: First, create a config file with {"ioc_list": ["example.com", "malicious.site"], "type": "domain"}, then run openclaw ioc-analysis --config domains.json --output report.csv. In a script, loop through the list via API calls and aggregate results for reporting.
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