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⚡ tsecurity.de Intelligence

I was tired of security scanners with 90% false positives, so I built my own

Every developer knows the pain of running a security scan. You wait for it to finish, only to be handed a giant report filled with hundreds of warnings. You then have to spend the next three hours manually testing each one, only to find…

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Every developer knows the pain of running a security scan. You wait for it to finish, only to be handed a giant report filled with hundreds of warnings. You then have to spend the next three hours manually testing each one, only to find out that almost all of them are false positives.



It is a massive waste of time, and it makes people ignore security alerts entirely.



I wanted a tool that actually proved its findings before telling me about them. Since I could not find a lightweight, open-source scanner that did this, I decided to build VScanX.



How it works under the hood



Instead of just checking if a header is missing or searching for static text, VScanX focuses on active validation.



When it finds a potential vulnerability, it triggers a background process to safely exploit it. If it successfully triggers the exploit, it saves the exact HTTP requests and responses as a proof of concept. If it cannot prove that the vulnerability is actually exploitable, it simply does not report it.



This means if VScanX alerts you to an issue, you can trust that it is real and reproducible.



What it scans



I wanted the tool to cover the full stack of applications I work on, so I built modules for:




  • Web Apps: SQL injection, XSS, IDOR, and exposed secrets in JavaScript.


  • Smart Contracts: Reentrancy loops and access control issues.


  • AI Sandbox: Prompt injection and code execution escapes for LLM apps




It also has a local Next.js documentation dashboard so you can view your scan results, compare diffs between two different runs to see what changed, and manage everything privately on your own machine.



Give it a try



The project is completely free and open source. If you want to check out the code, run a scan on your local projects, or contribute, the repository is on GitHub:



Github



I would love to hear your feedback on the verification logic or how you handle security sweeps in your own workflows.







1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - I was tired of security scanners with 90% false positives, so I built my own
id: b9258e99-abc8-4b89-9b56-b004a1ed483f
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
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
  - attack.t1190
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "I was tired of security scanne" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("I was tired of security scanners with 90")
| 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: "*I was tired of security scanners with 90*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "I was tired of security scanners with 90"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph4 Knoten / 3 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Identifiziert: T1190Exploit Public-Facing Application
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich I was tired of security scanners with 90.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ 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.
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