Security Scan Report: www.comolecco.camcom.it

Submitted: Oct 5, 2025, 4:59:38 PMCompleted: Oct 5, 2025, 5:00:35 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 4 domains to perform 70 HTTP transactions. The main domain is comolecco.camcom.it and was registered NaN years ago.

Submitted URL: https://www.comolecco.camcom.it/

The Cisco Umbrella rank of the primary domain is #655,653 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Official Chamber of Commerce site; no malicious activity detected.

Safety Factors
Well‑established domain age and registration date
Absence of malicious Indicators of Compromise
No collection of sensitive data (passwords, payment info)
Official branding and contact information matching known public institution
Domain age information unavailable

Details

Page Title

Camera di Commercio Como-Lecco - Home

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

corporate business

(88%)

Domain Information

Domain 'www.comolecco.camcom.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www.comolecco'. The registrable portion 'camcom' spans 6 characters with two vowels and 4 consonants. It segments into two words: cam, com. Median word length comes out to three characters. The linguistic tilt is Portuguese for 'cam'. You will also see it in Portuguese (Brazil) and Catalan contexts. Net impression: Portuguese phrase.

Screenshot

Security scan screenshot of https://www.comolecco.camcom.it/

Page Load Overview

7.87s
Total Load Time
70
HTTP Requests
4
Domains
4.7 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:9,324 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business88% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
88%
adult content
43%
government public service
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.250.185.72United States
AS15169GOOGLE
735.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
735.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
7216.239.34.36United States
AS15169GOOGLE
795.174.1.97Milan, Lombardy, Italy
AS12637SEEWEB s.r.l.
72a00:1450:4001:808::2008UnknownUnknown
72001:4860:4802:32::36UnknownUnknown
7216.239.32.36UnknownUnknown
72001:4860:4802:34::36UnknownUnknown
709--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC93823280DC5D7B026752C4B4706B1E749BAEBFEE029D95B2FF53189FC3D845802A5A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:JKa+uUAQSy9w40TzN7e5wGJ4IF6oT/T1IL5N9BgQz1eXuD1SCJGLp5Z:JKa+uUAroJIL5N9GQRU1Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92975:IAFVvRjMAARDlRAGApYEAiIHoxEIDqyqxRcBOChACliGMSA6RKcZiCA6MUEaDeDEAjYHYEAkqAACrluxGAEIhCulDEgECQQE

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:0000ffffffffff00
Perceptual Hash:ae2a232b2aba3aba
Difference Hash:4d45303b2b2a2a55
Wavelet Hash:0000bfdfcbcbff00
Color Hash:#63ac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data