Security Scan Report: www.ulfraufelix.eu

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Submitted: Jan 14, 2026, 7:23:39 PMCompleted: Jan 14, 2026, 7:25:15 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 5 domains to perform 67 HTTP transactions. The main domain is ulfraufelix.eu.

Submitted URL: https://www.ulfraufelix.eu/system/web/default.aspx?sprache=3

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Site likely phishing; do not enter credentials and report as scam.

Risk Factors
Credential harvesting form (password field)
Unknown domain age (registration data unavailable)
Excessive redirects (20)
Brand impersonation of a municipal website on a non‑official domain
Unranked domain with low reputation
Domain age information unavailable

Details

Page Title

Comune di Senale - San Felice - Home

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(70%)

Domain Information

You're looking at domain 'www.ulfraufelix.eu' on the .eu country-code top-level domain; it also runs on subdomain 'www'. Its registrable label 'ulfraufelix' stretches across 11 characters with 5 vowels and six consonants. Segmentation suggests 3 words: ul, frau, felix. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ulfraufelix.eu/system/web/default.aspx?sprache=3

Page Load Overview

2.75s
Total Load Time
67
HTTP Requests
5
Domains
283 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:4,143 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service70% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
70%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1952.155.171.125Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1685.31.14.36Wels, Upper Austria, Austria
AS21013eww ag
1640.67.248.218Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1620.107.132.93Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
674--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E43876007C0902F0A325DC9956C67E5F1B6A59BB3979C2075DC03B9EF80F4ADA7393A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:NQoVHjtYGwTVpsZ17SIf+vCA9VvzR9kH3yoxDfrprqyvxmanOrpL+gJVU9LK:+oVHjtYGwTVpC17SwfKU9LK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58126:sIYkRAQERrBgIaZFEtgRjbUMAsGNBrAiLREbggEMAFnpHROSQgMIhZ3XACgILCMQuSgg0M5xKUEISQwBAERgQwJMiSSwYxJp

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:a381c9797d7d9ddd
Perceptual Hash:cb6f36a4c4cec132
Difference Hash:671b1bd399d939bb
Wavelet Hash:a38181f85c7d1d5d
Color Hash:#86931f

Scan History

Scan history not available

Unable to load historical scan data