Source
import json from itertools import cycle from CommonServerPython import * from CommonServerUserPython import * # Executes confluera-fetch-detections command/script detections_data = demisto.executeCommand("confluera-fetch-detections", {"hours": "72"}) if detections_data[1] and detections_data[1]["Contents"]: detections = detections_data[1]["Contents"] else: detections = [] # Generating Chart data data: List[dict] = [] colors = cycle( [ "#dc5e50", "#64bb18", "#8b639a", "#d8a747", "#528fb2", "#9cc5aa", "#f1934c", "#e25b4c", "#5bbe80", "#c0363f", "#cdb8a8", "#3cc861", ] ) for _idx, ioc in enumerate(detections): element = [item for item in data if item["name"] == ioc["iocTactic"]] if element and len(element) != 0: element[0]["data"][0] += 1 else: chart_item = {"name": ioc["iocTactic"], "data": [1], "color": next(colors)} data.append(chart_item) return_results(json.dumps(data))
README
ConflueraDetectionsSummary Script
Script Data
| Name | Description |
|---|---|
| Script Type | python3 |
| Tags | Confluera |
| Cortex XSOAR Version | 6.0.0 |
Inputs
| Argument Name | Description |
|---|---|
| N/A | N/A |
Outputs
| Path | Description | Type |
|---|---|---|
| N/A | N/A | N/A |
Script Example
!ConflueraDetectionsSummary
Human Readable Output
