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Security Scan Report: nscnfmeldertauschtool-z0hi14s52c.edgeone.app

Submitted: Apr 14, 2026, 2:54:59 PMCompleted: Apr 14, 2026, 2:56:11 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is nscnfmeldertauschtool-z0hi14s52c.edgeone.app and was registered NaN years ago.

Submitted URL: https://nscnfmeldertauschtool-z0hi14s52c.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site with no malicious activity detected; safe but subdomain age is unknown.

Risk Factors
Low Cisco Umbrella ranking (#455,732)
Subdomain age unknown (could be newly created)
Safety Factors
No forms or credential fields present
No malicious IoC matches
No JavaScript malware or credential exfiltration detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

NSC / Notifier BMA-Meldertausch

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

technology software

(64%)

Domain Information

The domain name 'nscnfmeldertauschtool-z0hi14s52c.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'nscnfmeldertauschtool-z0hi14s52c'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Splitting it apart reveals two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nscnfmeldertauschtool-z0hi14s52c.edgeone.app/

Page Load Overview

3.05s
Total Load Time
14
HTTP Requests
4
Domains
361 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:1,460 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
64%
documentation technical
46%
government public service
43%
cryptocurrency blockchain
38%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
3104.18.1.22United States
AS13335Cloudflare, Inc.
3104.26.2.143United States
AS13335Cloudflare, Inc.
3104.17.25.14United States
AS13335Cloudflare, Inc.
144--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E059210AE55287897EF4472F5CD96BA934F06478A6288ECB08DE91B6F74C1CC7ECE04

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:ZV7TM8DZlzJESUsGKGYqC0TP427xtCBC1ZX//rp:FOxTrp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:796259:Cre1ggpQxEghM0ASlzcCKowGgRhCGPQ0XGLwYIGDCOIwGEEiISoFUK5CEBUhGCAxkCAoABQGFg9BLwXdoYSJQkaAJDxtDBQY

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffffe7e7ffffff
Perceptual Hash:b38ccc3333cccc33
Difference Hash:0000000808000000
Wavelet Hash:f0f0fce4c0c0c0c0
Color Hash:#2d7a86

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data