output-streams

name	output-streams
description	Understanding LimaCharlie output stream structures — the four data streams (event, detect, audit, deployment) have different schemas, fields, and use cases. Covers stream structures, detection fields, audit log format, deployment events, filtering, and configuration. Use when configuring outputs, parsing LimaCharlie data in external systems, or understanding detection/audit/deployment stream formats.
allowed-tools	["Bash","Read"]

Output Streams

LimaCharlie routes data through four distinct output streams. Each has a different schema — they are NOT interchangeable. Understanding these structures is essential for configuring outputs, building parsers in external systems, and filtering data.

Stream Overview

Stream	Purpose	Volume	Common Destinations
event	Real-time telemetry from sensors/adapters	High	SIEM, data lake, long-term storage
detect	Alerts from D&R rules	Low-Medium	SIEM, SOAR, incident response
audit	Platform management actions	Low	Compliance logging, audit trails
deployment	Sensor lifecycle events	Very Low	Asset management, deployment tracking

Event Stream

Canonical two-level structure. Every event has routing (metadata) and event (payload):

{
  "routing": {
    "oid": "8cbe27f4-...",
    "sid": "bb4b30af-...",
    "event_type": "NEW_PROCESS",
    "event_time": 1656959942437,
    "event_id": "8cec565d-...",
    "hostname": "workstation-01",
    "iid": "7d23bee6-...",
    "did": "b97e9d00-...",
    "ext_ip": "203.0.113.45",
    "int_ip": "10.0.1.25",
    "plat": 268435456,
    "arch": 2,
    "this": "a443f9c48bef700740ef27e062c333c6",
    "parent" 
     
  
   
     
     
     
     
     
       
       
    
  

Key event types: NEW_PROCESS, DNS_REQUEST, NETWORK_CONNECTIONS, FILE_MODIFIED, WEL (Windows Event Logs), MODULE_LOAD, REGISTRY_WRITE, SENSITIVE_PROCESS_ACCESS.

Detection Stream

Alerts from D&R rules. Different structure from events — flat object with detection-specific fields:

{
  "cat": "Suspicious PowerShell Execution",
  "source": "dr-general",
  "routing": { "..." },
  "detect": {
    "FILE_PATH": "C:\\...\\powershell.exe",
    "COMMAND_LINE": "powershell.exe -enc SGVsbG8="
  },
  "detect_id": "f1e2d3c4-...",
  "priority": 7,
  "detect_mtd": { "rule_name": "detect-encoded-powershell" },
  "detect_data": {
    "suspicious_process": "powershell.exe",
    "encoded_command": "SGVsbG8="
  },
  "source_rule" 
    
   

Detection Fields

Field	Type	Description
cat	string	Detection name/category (from report action's name)
source	string	Rule source: dr-general, dr-managed, dr-service
routing	object	Inherited from triggering event
detect	object	Copy of event data that triggered detection
detect_id	UUID	Unique detection identifier
priority	integer	Detection priority (0-10, from report action)
detect_mtd	object	Rule metadata (from report action's metadata)
detect_data	object	Structured IOCs (from report action's detect_data)
source_rule	string	Rule name that generated this
rule_tags	list	Tags from the D&R rule
gen_time	integer	Detection creation timestamp (ms)

detect_data — Structured IOCs

The detect_data field contains pre-parsed IOCs extracted by the rule. This is the primary integration point for:

• Automated enrichment (lookup IPs, domains, hashes)
• SOAR playbook inputs
• Case management systems
• Threat intelligence platforms

Audit Stream

Platform management events. Completely different structure — flat object, does NOT use the routing/event split:

{
  "oid": "8cbe27f4-...",
  "ts": "2024-06-05T14:23:18Z",
  "etype": "config_change",
  "msg": "D&R rule created",
  "origin": "api",
  "time": 1656959942,
  "ident": "[e-mail]",
  "entity": {
    "type": "dr_rule",
    "name": "detect-encoded-powershell",
    "hive": "dr-general"
  },
  "mtd": {
    "action": "create",
    "source_ip": "203.0.113.10"
  }
}

Audit Fields

Field	Type	Description
oid	UUID	Organization ID
ts	string	ISO 8601 timestamp
etype	string	Event type (config_change, api_call, user_action, error)
msg	string	Human-readable message
origin	string	Origin: api, ui, cli, system
ident	string	Identity (email, API key name)
entity	object	Object acted upon (type, name, hive)
mtd	object	Metadata (action, source_ip, user_agent)
error	string	Error message (if applicable)

Deployment Stream

Sensor lifecycle events. Uses routing/event structure like events but with deployment-specific event types:

Event Type	Description
sensor_installed	New sensor deployment
sensor_uninstalled	Sensor removal
sensor_upgraded	Version update
sensor_clone	Duplicate sensor ID detected
sensor_over_quota	Sensor exceeds org quota
deleted_sensor	Sensor deletion
sensor_checkin	Periodic heartbeat

Use deployment events to detect unexpected sensor removals (potential evasion), track sensor versions, and monitor fleet coverage.

Output Configuration

CLI Commands

# List outputs
limacharlie output list --oid <oid> --output yaml

# Create output
cat > /tmp/output.yaml << 'EOF'
name: my-syslog
module: syslog
for: detect
dest_host: siem.example.com:514
EOF
limacharlie output create --input-file /tmp/output.yaml --oid <oid> --output yaml

# Delete output
limacharlie output delete --name <name> --confirm --oid <oid>

Stream Filtering

Filter parameters use newline-separated string format, NOT YAML arrays.

# Event type filtering (whitelist)
event_white_list: |
  NEW_PROCESS
  DNS_REQUEST

# Event type filtering (blacklist)
event_black_list: |
  CONNECTED
  DNS_REQUEST

# Detection category filtering
cat_white_list: |
  high-priority
  critical

# Tag-based filtering (single tag)
tag: production

# Tag blacklist
tag_black_list: |
  dev
  test

# Rule tag filtering (detection stream only)
rule_tag_white_list: |
  compliance
  ransomware

Tailored Output Stream

The output D&R response action forwards a matched event to a specific output in the tailored stream. This enables highly granular routing — e.g., send only specific detection types to a specific webhook:

- action: output
  name: my-webhook-output

Gotchas Summary

Gotcha	Detail
Streams have different schemas	Event (routing+event), detect (flat+detect), audit (flat, no routing/event), deployment (routing+event)
Filter format is newline-separated	NOT YAML arrays — use pipe | multiline strings
Audit stream is flat	No routing/event split — uses oid, ts, etype, ident
detect_data is the integration point	Pre-parsed IOCs for SOAR/SIEM integration
Detection timestamps in milliseconds	event_time and gen_time are ms (13 digits)
Batch outputs have latency	S3, SFTP, GCS batch by size/time. Syslog is live.