I've been struggling with writing for the past couple of years, but I finally got back into the habit expressly because of the absolute horde of "I made 100K in a week" vibe coded apps I see on every feed.
Of course, I'm sure most folks…
I've been struggling with writing for the past couple of years, but I finally got back into the habit expressly because of the absolute horde of "I made 100K in a week" vibe coded apps I see on every feed.
Of course, I'm sure most folks here know that's a myth, but that doesn't mean vibe coding can't be useful. Give it a read and let me know what you think!
title: Detect Exploitation - I'm sure a lot of you can relate to this
id: 861c7403-743f-4f30-849d-566c4c1033b7
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
- https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-27
logsource:
category: network_connection
product: any
detection:
selection:
CommandLine|contains:
- 'exploit'
condition: selection
falsepositives:
- Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
- attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
meta:
author = "iShareStuff CTI Automated Detection Engine"
date = "2026-09-27"
description = "YARA Signature for "
strings:
$str = "I\'m sure a lot of you can rela" ascii wide
condition:
any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Im sure a lot of you can relate to this")
| 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 - count
Syntax validiert (0 Fehler)
message: "*Im sure a lot of you can relate to this*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Im sure a lot of you can relate to this"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc
Analyse für identifizierte Bedrohung auf Basis von Live-CTI (ENISA EUVD): CVSS 0.0 · EPSS 0.0% · CISA KEV: nein. Handlungsableitung aus den verlinkten Hersteller-Quellen.
🛡️ Angriffsfläche & Exposure
Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.
⚡ Empfohlene Sofortmaßnahmen
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.
Synthetische RAG-Antwort
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