Security Scan Report: www.altenheim-stpauls.it

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Submitted: Oct 7, 2025, 3:55:27 AMCompleted: Oct 7, 2025, 3:56:10 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 47 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 security concerns.

Safety Factors
Well‑established domain (>20 years old)
No malicious Indicators of Compromise
No collection of sensitive data via forms
Publicly listed address and contact 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

(75%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.altenheim-stpauls.it' is registered with subdomain 'www'. Count 17 characters in 'altenheim-stpauls' holding six vowels versus ten consonants, plus 1 hyphen. Word splitting yields 4 words: alten, heim, st, pauls. The median word length lands at 4.5 characters. 'aten' most strongly signals Dutch. You may catch it in German and Norwegian as well.

Screenshot

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

Page Load Overview

8.40s
Total Load Time
47
HTTP Requests
3
Domains
3.0 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-DE
Text Length:5,233 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service75% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
75%
healthcare medical
68%
education learning
43%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15192.0.77.37San Francisco, California, United States
AS2635AUTOMATTIC
15192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
1585.13.130.248Germany
AS34788Neue Medien Muennich GmbH
473--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD343F76A662507A69E243C767F6670F613E2103C991B8A4FFE855A85FC4AF433C310B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:szypGj+odyqEruogkYJ6v7+XxD2EYkFsF8TExJAzfcpSOSzpc64koiWPwx:luxkYJ6v7+XxDVqF8TExJAQS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:231792:scKBYSiKfCQiAdCUEBIMCIAMMAeEBKMMi5wmGFBASBBxBhWYAQJgAgIQHUAQPISJAQghgZg2gmDhZcMQFPBKRAKkLyE0gBAA

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:ff1c181818383f3f
Perceptual Hash:8e50a7a5e88bcd95
Difference Hash:4ce8b0b1f1726867
Wavelet Hash:ff14181818383fbf
Color Hash:#53ac82

Scan History

Scan history not available

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