Building Incident Response Dashboard

<dashboard version="2" theme="dark">
  <label>Active Incident Response Dashboard</label>
  <description>Real-time tracking for IR-2024-0450</description>

  <row>
    <panel>
      <title>Incident Summary</title>
      <single>
        <search>
          <query>
| makeresults
| eval incident_id="IR-2024-0450",
       status="CONTAINMENT",
       severity="Critical",
       affected_hosts=7,
       contained_hosts=5,
       iocs_identified=23,
       hours_elapsed=round((now()-strptime("2024-03-15 14:00","%Y-%m-%d %H:%M"))/3600,1)
| table incident_id, status, severity, affected_hosts, contained_hosts, iocs_identified, hours_elapsed
          </query>
        </search>
      </single>
    </panel>
  </row>
</dashboard>

| inputlookup ir_affected_systems.csv
| eval status_color = case(
    status="Contained", "#2ecc71",
    status="Compromised", "#e74c3c",
    status="Investigating", "#f39c12",
    status="Recovered", "#3498db",
    1=1, "#95a5a6"
  )
| stats count by status
| eval order = case(status="Compromised", 1, status="Investigating", 2,
                    status="Contained", 3, status="Recovered", 4)
| sort order
| table status, count

--- Detailed host table
| inputlookup ir_affected_systems.csv
| lookup asset_lookup_by_cidr ip AS host_ip OUTPUT category, owner, priority
| table hostname, host_ip, category, owner, status, containment_time,
        compromise_vector, analyst_assigned
| sort status, hostname

--- IOCs identified during incident
index=* (src_ip IN ("185.234.218.50", "45.77.123.45") OR
         dest IN ("evil-c2.com", "malware-drop.com") OR
         file_hash IN ("a1b2c3d4...", "e5f6a7b8..."))
earliest="2024-03-14"
| stats count AS hits, dc(src_ip) AS unique_sources,
        dc(dest) AS unique_dests, latest(_time) AS last_seen
  by sourcetype
| sort - hits

--- IOC timeline
index=* (src_ip IN ("185.234.218.50") OR dest="evil-c2.com")
earliest="2024-03-14"
| timechart span=1h count by sourcetype

--- New IOC discovery tracking
| inputlookup ir_ioc_list.csv
| stats count by ioc_type, source, discovery_time
| sort discovery_time
| table discovery_time, ioc_type, ioc_value, source, status

| inputlookup ir_timeline.csv
| sort _time
| eval phase = case(
    action_type="detection", "Detection",
    action_type="triage", "Triage",
    action_type="containment", "Containment",
    action_type="eradication", "Eradication",
    action_type="recovery", "Recovery",
    1=1, "Other"
  )
| eval phase_color = case(
    phase="Detection", "#e74c3c",
    phase="Triage", "#f39c12",
    phase="Containment", "#e67e22",
    phase="Eradication", "#2ecc71",
    phase="Recovery", "#3498db"
  )
| table _time, phase, action, analyst, details

_time,action_type,action,analyst,details
2024-03-15 14:00,detection,Alert triggered - Cobalt Strike beacon detected,splunk_es,Notable event NE-2024-08921
2024-03-15 14:12,triage,Alert triaged - confirmed true positive,analyst_jdoe,VT score 52/72 on beacon hash
2024-03-15 14:23,containment,Host WORKSTATION-042 isolated,analyst_jdoe,CrowdStrike network isolation
2024-03-15 14:35,containment,C2 domain blocked on firewall,analyst_msmith,Palo Alto rule deployed
2024-03-15 15:00,eradication,Enterprise-wide IOC scan initiated,analyst_jdoe,Splunk search across all indices
2024-03-15 15:30,containment,3 additional hosts identified and isolated,analyst_msmith,Lateral movement confirmed
2024-03-15 16:00,eradication,Malware removed from all affected hosts,analyst_tier3,CrowdStrike RTR cleanup
2024-03-15 18:00,recovery,Systems restored and monitored,analyst_msmith,72-hour monitoring period started

--- Incident volume by severity (last 30 days)
index=notable earliest=-30d
| stats count by urgency
| eval order = case(urgency="critical", 1, urgency="high", 2, urgency="medium", 3,
                    urgency="low", 4, urgency="informational", 5)
| sort order

--- MTTD (Mean Time to Detect)
index=notable earliest=-30d status_label="Resolved*"
| eval mttd_minutes = round((time_of_first_event - orig_time) / 60, 1)
| stats avg(mttd_minutes) AS avg_mttd, median(mttd_minutes) AS med_mttd,
        perc95(mttd_minutes) AS p95_mttd

--- MTTR (Mean Time to Respond/Resolve)
index=notable earliest=-30d status_label="Resolved*"
| eval mttr_hours = round((status_end - _time) / 3600, 1)
| stats avg(mttr_hours) AS avg_mttr, median(mttr_hours) AS med_mttr by urgency

--- Analyst workload distribution
index=notable earliest=-7d
| stats count by owner
| sort - count

--- Alert disposition breakdown
index=notable earliest=-30d status_label IN ("Resolved*", "Closed*")
| stats count by disposition
| eval percentage = round(count / sum(count) * 100, 1)
| sort - count

--- Executive summary panel
| makeresults
| eval metrics = "Business Impact: 1 file server offline (Finance dept), "
                ."Estimated Recovery: 4 hours, "
                ."Data Loss Risk: Low (backups verified), "
                ."Customer Impact: None, "
                ."Regulatory Notification: Not required (no PII exposure confirmed)"

--- Trend comparison (this month vs last month)
index=notable earliest=-60d
| eval period = if(_time > relative_time(now(), "-30d"), "Current Month", "Previous Month")
| stats count by period, urgency
| chart sum(count) AS incidents by period, urgency

--- Top threat categories
index=notable earliest=-30d
| top rule_name limit=10
| table rule_name, count, percent

--- Scheduled search to update affected systems lookup (runs every 5 minutes)
index=* (src_ip IN [| inputlookup ir_ioc_list.csv | search ioc_type="ip"
                    | fields ioc_value | rename ioc_value AS src_ip])
earliest=-1h
| stats latest(_time) AS last_seen, count AS event_count,
        values(sourcetype) AS data_sources by src_ip
| eval status = if(last_seen > relative_time(now(), "-15m"), "Active", "Dormant")
| outputlookup ir_affected_systems_auto.csv