Security Scan Report: www.selva.eu

Submitted: Jan 24, 2026, 1:44:08 PMCompleted: Jan 24, 2026, 1:45:10 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 6 domains to perform 1 HTTP transaction. The main domain is selva.eu.

Submitted URL: https://www.selva.eu/de

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Potential phishing site; do not enter credentials or personal data.

Risk Factors
Hidden password field (potential credential harvesting)
Unknown domain age (cannot verify legitimacy)
Excessive redirects (18) indicating possible URL manipulation
Domain age information unavailable

Details

Page Title

Gemeinde Wolkenstein in Gröden - Home

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(93%)

Domain Information

Within the .eu country-code top-level domain, 'www.selva.eu' is registered and includes subdomain 'www'. The second-level label 'selva' is 5 characters long split between two vowels and three consonants. Segmentation suggests two words: s, elva. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.selva.eu/de

Page Load Overview

5.91s
Total Load Time
116
HTTP Requests
6
Domains
1.9 MB
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:5,927 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning93% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
93%
government public service
89%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4052.155.171.125Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3820.107.132.93Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3885.31.14.36Wels, Upper Austria, Austria
AS21013eww ag
1163--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101C3942129EE043F10377BC1A55A8F5662ABE63A96074D5133BC83E7BFC0D55A80D12F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/4qeSGHjtYhwTV7Dpi9U7SQJZB0ZbfwFlBbyM6HF/pZjZy:/4qaJZuZy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124314:gJIpiBAuhCAwaDIgRLjcQQSIEJCUhEBmYoBQRQkBPKwOBUAIgBhkGHEA4CC/rGDMwCKLcBUCNwAE0gAhXAhBQJAsAAgwiIOg

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:000018181818cf81
Perceptual Hash:9d4432d51de94c73
Difference Hash:714db3b2b2b2191d
Wavelet Hash:8f10181a1adeff8d
Color Hash:#2d4a86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data