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mukul975
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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
2.2 KiB
2.2 KiB
API Reference: Building Incident Response Dashboard
splunk-sdk (splunklib)
import splunklib.client as client
import splunklib.results as results
service = client.connect(host="localhost", port=8089,
username="admin", password="changeme")
# Run a blocking search
job = service.jobs.create(
'search index=notable | stats count by urgency',
earliest_time="-24h", latest_time="now", exec_mode="blocking"
)
for result in results.JSONResultsReader(job.results(output_mode="json")):
print(result)
# Create a saved search (dashboard panel)
service.saved_searches.create("IR_Affected_Systems", search="""
search index=notable incident_id="IR-*"
| stats count by dest, urgency | sort - count
""")
Key SPL Patterns for IR Dashboards
--- Incident summary single-value panels
| makeresults | eval status="CONTAINMENT", affected=7, contained=5
--- SOC Metrics (MTTD / MTTR)
index=notable status_label="Resolved*"
| eval mttr_hours = round((status_end - _time) / 3600, 1)
| stats avg(mttr_hours) AS avg_mttr by urgency
--- Analyst workload
index=notable earliest=-7d | stats count by owner | sort - count
--- IOC spread tracking
index=* (src_ip IN ("1.2.3.4") OR dest="evil.com")
| timechart span=1h count by sourcetype
--- Alert disposition
index=notable status_label="Closed*"
| stats count by disposition
| eventstats sum(count) AS total
| eval pct = round(count/total*100, 1)
Dashboard Studio (Splunk v2)
<dashboard version="2" theme="dark">
<label>IR Dashboard</label>
<row>
<panel><title>Affected Systems</title>
<table><search><query>| inputlookup ir_systems.csv</query></search></table>
</panel>
</row>
</dashboard>
TheHive API (Case Tracking)
import requests
headers = {"Authorization": "Bearer <api_key>"}
# List open cases
resp = requests.get("http://thehive:9000/api/case",
headers=headers, params={"range": "0-50", "sort": "-startDate"})
References
- splunk-sdk-python: https://github.com/splunk/splunk-sdk-python
- Splunk Dashboard Studio: https://docs.splunk.com/Documentation/DashboardStudio
- TheHive API: https://docs.strangebee.com/thehive/api-docs/