Security Scan Report: data.gvcc.net

Redirected to: https://data.gvcc.net/AlboPretorioOnline/?gemeinde=489&lang=DE

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Submitted: Jan 9, 2026, 10:25:44 AMCompleted: Jan 9, 2026, 10:27:10 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 8 HTTP transactions. The main domain is data.gvcc.net and was registered NaN years ago.

Submitted URL: http://data.gvcc.net/AlboPretorioOnline/?gemeinde=489&lang=DE

Effective URL: https://data.gvcc.net/AlboPretorioOnline/?gemeinde=489&lang=DERedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security concerns.

Safety Factors
Well-established domain
Absence of credential or payment forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(81%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'data.gvcc.net' is registered with subdomain 'data'. Count 4 characters in 'gvcc' holding 0 vowels versus 4 consonants. Segmentation suggests 3 words: g, v, cc. The median word length lands at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://data.gvcc.net/AlboPretorioOnline/?gemeinde=489&lang=DE

Page Load Overview

6.56s
Total Load Time
8
HTTP Requests
3
Domains
4 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:759 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service81% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
81%
finance banking
51%
adult content
35%
corporate business
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
484.18.132.38Bolzano, Trentino-Alto Adige, Italy
AS20811Retelit Digital Services S.p.A.
420.107.132.93Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
82--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1827253A264F536A572998AB05FA57F03AFE68127A2055E00B51E0FF38F46FC19C4712E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:AMDdJpJmsNKQAs6JRM5AnsG5Qt/M+psYst/9f+t/XLVOt/t9+t/ArPbfjbfjnfdg:AMR/Qn5Qq+phs/f+tVOB+arz3j18

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17553:QRCEQUQWAFDQeQIaDhYColD8QDQOLBQA2EwVIAhACAcIEAxpRDUAJkMjaY0MQA+AFxRgmgJQwIIgCKOArEQE4GcANFQkAESJ

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:81dfc3ffffffc3ff
Perceptual Hash:b839693c9e693139
Difference Hash:1736966030301668
Wavelet Hash:015b437f7f5f0103
Color Hash:#57931f

Other Hashes

Scan History

Scan history not available

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