Security Scan Report: www.altenheim-stpauls.it

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Submitted: Oct 13, 2025, 9:57:41 AMCompleted: Oct 13, 2025, 9:58:40 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 40 HTTP transactions. The main domain is altenheim-stpauls.it and was registered NaN years ago.

Submitted URL: https://www.altenheim-stpauls.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate nursing home website with no apparent security threats.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or scripts
Transparent contact and payment information
Domain age information unavailable

Details

Page Title

Haus und Dienstleistungen - Altenheim St.Pauls

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(81%)

Domain Information

The domain 'www.altenheim-stpauls.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. The core label 'altenheim-stpauls' covers 17 characters with six vowels and 10 consonants, notching 1 hyphen. It segments into four words: alten, heim, st, pauls. Median word length is 4.5 characters. 'aten' is most common in Dutch usage. Usage also turns up in German and Norwegian contexts.

Screenshot

Security scan screenshot of https://www.altenheim-stpauls.it/

Page Load Overview

29.29s
Total Load Time
40
HTTP Requests
3
Domains
594 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-DE
Text Length:4,427 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

government public service
81%
healthcare medical
62%
cryptocurrency blockchain
29%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
13192.0.77.37San Francisco, California, United States
AS2635AUTOMATTIC
1385.13.130.248Germany
AS34788Neue Medien Muennich GmbH
403--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1241E6755A270BA5B7B4389A7FBA70E73352033CB91F9A4ADD8141C8FB4AFD0241217

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:szypGj+odyqE0nEPQZj/FrU/5i/QPf6xluoKxJAzfcpSOS9pc64BoiWPGI:KnEPQZj/FrUEwf6xluDxJAQy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:221158:DKgICASACOJ8miJkIAy2DQAGNQhJAGAqQACrYtCYA1LBCsSAMIgCWAMABgJBQSwCJACCFTrUaAxQMRAFAIfE+TQCiEIoZxsA

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:ff1c18181818f9f3
Perceptual Hash:c810a7a5e2e91df5
Difference Hash:0fe8b0b1f1f22323
Wavelet Hash:ff1c18181818f9f7
Color Hash:#87abc5

Scan History

Scan history not available

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