Security Scan Report: www.ulfraufelix.eu

Submitted: Oct 2, 2025, 3:20:53 AMCompleted: Oct 2, 2025, 3:22:37 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 4 domains to perform 66 HTTP transactions. The main domain is ulfraufelix.eu.

Submitted URL: https://www.ulfraufelix.eu/system/web/default.aspx

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk phishing page impersonating a municipal portal; do not enter credentials and report as scam.

Risk Factors
Unranked domain (low reputation)
Unknown / likely new domain age
Password collection form on a non‑official domain
Impersonation of a municipal authority
Absence of noindex meta tag despite suspicious login page
Domain age information unavailable

Details

Page Title

Gemeinde Unsere liebe Frau im Walde - St.Felix - Home

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(93%)

Screenshot

Security scan screenshot of https://www.ulfraufelix.eu/system/web/default.aspx

Page Load Overview

36.71s
Total Load Time
66
HTTP Requests
4
Domains
285 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:7,402 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service93% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
93%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2220.107.132.93Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2285.31.14.36Wels, Upper Austria, Austria
AS21013eww ag
2252.155.171.125Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
663--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C963A72012C1643F4933588696596BB8F3B6A54BB3A29C203ADC03B7DF80F56DE75537

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OQSG5Z3Shy9vPsvYPNokt0W8jedY6rprTiIENvEPfanOrpL+gJVUkvJ:7SG5Z3Shy9vPNPNok1AEUkvJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70555:ACJqQyEBADBwSUHN0SkxBDB0QMFdIgjECotCDWQyADpZOOgLJBc0AmSBABCvwGFAQFpMhuiiCgAEVCBCBkRgcJKAEqtTYoDh

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:0000181818180018
Perceptual Hash:d96b36a48ccb6362
Difference Hash:670b3bb3b3b1b931
Wavelet Hash:a3819938dcde5c1c
Color Hash:#68783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data