Security Scan Report: www.comer-see-italien.com

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 33 domains to perform 191 HTTP transactions. The main domain is comer-see-italien.com and was registered 20 years ago.

Submitted URL: https://www.comer-see-italien.com/en/lake-como-abc/george-clooney-and-amal-alamuddin-vacation-on-lake-como__497.htm

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site shows no malicious indicators, uses its own brand, and lacks credential collection – classified as legitimate.

Safety Factors (3)
Established domain with long registration history
Content appears to be informational/travel listings
No suspicious external links handling credentials
Domain age information unavailable

Details

Page Title

George Clooney and Amal Alamuddin vacation on Lake Como Lake Como Italy

Scan Type

public

Domain Name Analysis

Domain 'www.comer-see-italien.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'comer-see-italien' spans 17 characters containing eight vowels alongside seven consonants, plus two hyphens. It segments into 4 words: comer, see, it, alien. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comer-see-italien.com/en/lake-como-abc/george-clooney-and-amal-alamuddin-vacation-on-lake-como__497.htm

Page Load Overview

7.47s
Total Load Time
10.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:5,491 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical73% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
73%
entertainment media
34%
travel tourism
33%
news media journalism
30%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29142.251.127.101Google · CDNUnited States
AS15169Google LLC
27194.150.248.211Switzerland
AS35206NovaTrend Services GmbH
27188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
27142.251.110.97Google · CDNUnited States
AS15169Google LLC
27194.150.248.140Switzerland
AS35206NovaTrend Services GmbH
27142.251.13.157Google · CDNUnited States
AS15169Google LLC
27142.251.13.95Google · CDNUnited States
AS15169Google LLC
1917--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4B41A1BF9E21B33C2AA86E091773B7C6B38895E8FC10CB59943676E078ADD7074518D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:EZ59Jde2Idc2hxXW3ImGAiEUsu9wqVv02cHVv0ucNVv0uc/Vv0ac2Vv08caVv0cQ:kvQrZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500037:YqOMEAAGUEiEgEYYhGAGQXHTCzMQcOKI4nQQAlAkjgQQjA4BQXTq0AEQpkBJDKJCgSKgCqIQAwZUCjEgBKCACAGNcgihTBLC

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:ffc7ffc7838387ff
Perceptual Hash:bcc7cb3cc032cbc1
Difference Hash:2e2f2f1f36371f1b
Wavelet Hash:bf83c783838383cd
Color Hash:#48bf40

Scan History

Scan history not available

Unable to load historical scan data