Introduction A Power BI report is only as reliable as the model beneath it. Data modelling is the process of organising tables, keys, relationships, and calculations so that business questions can be answered accurately and efficiently. A good model reduces ambiguity, makes DAX easier to write, improves query performance, and gives report users... Weiterlesen
Intelligence View
Data Modelling, Relationships and Joints in Power BI
Introduction A Power BI report is only as reliable as the model beneath it. Data modelling is the process of organising tables, keys, relationships, and calculations so that business questions can be answered accurately and efficiently. A…
SOC Incident Playbook: Vulnerability Remediation & Verification
title: Detect Exploitation - Data Modelling, Relationships and Joints in Power BI
id: 52aae930-5858-453f-b431-46add9cf583a
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
- https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
category: network_connection
product: any
detection:
selection:
CommandLine|contains:
- 'exploit'
condition: selection
falsepositives:
- Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
- attack.initial_accessrule CTI_Threat_Indicator {
meta:
author = "iShareStuff CTI Automated Detection Engine"
date = "2026-09-24"
description = "YARA Signature for "
strings:
$str = "Data Modelling, Relationships " ascii wide
condition:
any of them
}index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Data Modelling Relationships and Joints ")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - countmessage: "*Data Modelling Relationships and Joints *"CommonSecurityLog
| where Message has "Data Modelling Relationships and Joints "
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount descMITRE ATT&CK Matrix Navigator 14 Taktiken
tsecurity.de Cognitive Threat RAG
Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Data Modelling, Relationships and Joints.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.
Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.
- 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
- 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
- 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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