Repo: github.com/v4xsh/sentinel Every month, a bank's card-fraud team opens twenty investigations that a human still has to run to the ground. Was this transaction fraud. What kind. How far did it spread. Do we file a SAR. My submission to Hacker House Goa × TigerGraph is Sentinel, an agent that reads six months of the Vesta card-transaction graph... Weiterlesen
Intelligence View
Sentinel: an agentic fraud investigator on TigerGraph
Repo: github.com/v4xsh/sentinel Every month, a bank's card-fraud team opens twenty investigations that a human still has to run to the ground. Was this transaction fraud. What kind. How far did it spread. Do we file a SAR. My…
SOC Incident Playbook: Vulnerability Remediation & Verification
title: Detect Exploitation - Sentinel: an agentic fraud investigator on TigerGraph
id: 721ab0ad-6f10-4e03-ac60-10e49f7b7349
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 = "Sentinel: an agentic fraud inv" ascii wide
condition:
any of them
}index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Sentinel an agentic fraud investigator o")
| 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: "*Sentinel an agentic fraud investigator o*"CommonSecurityLog
| where Message has "Sentinel an agentic fraud investigator o"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desctsecurity.de Cognitive Threat RAG
Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Sentinel: an agentic fraud investigator .... 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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