Security Scan Report: www.mn.camcom.gov.it

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Submitted: Dec 28, 2025, 7:52:10 PMCompleted: Dec 28, 2025, 7:53:30 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 78 HTTP transactions. The main domain is mn.camcom.gov.it and was registered NaN years ago.

Submitted URL: https://www.mn.camcom.gov.it/

The Cisco Umbrella rank of the primary domain is #721,381 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official .gov.it TLD
Established domain age
Government organization branding matches domain
Domain age information unavailable

Details

Page Title

Camera di Commercio di Mantova - Home Page

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

corporate business

(55%)

Domain Information

You're looking at domain 'www.mn.camcom.gov.it' on the Italian country-code top-level domain (.gov.it), featuring subdomain 'www.mn'. Count 6 characters in 'camcom' holding two vowels versus 4 consonants. Segmentation suggests two words: cam, com. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mn.camcom.gov.it/

Page Load Overview

9.28s
Total Load Time
78
HTTP Requests
0
Domains
N/A
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:5,265 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
55%
travel tourism
49%
government public service
49%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6080.82.10.61Italy
AS25569InfoCamere SCpA
235.152.40.99UnknownUnknown
02--

Detected Technologies3

JQueryv1.9.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C913C9249BCA593B019702E89DA24FB8A1FF0E74D2091C80F97E0BF993C5D5CE57E568

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:t2gu3q0dfMXC6SiKLhPrGlbzhzGCNZMDtEc3a:zuixpKLJrGNzhCcaDtEc3a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45498:IBBTl0EBziAQAwSwMoZc5CEOg9AoA4CEPR0QOWFhBBSiAyXPFABeYDAyLBEEGAEkLQSQIgEZywAkrg6jQowQIAcAAGUducxK

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:1800083cfffff7ef
Perceptual Hash:974f21ac981a9be9
Difference Hash:71467868362e0e1e
Wavelet Hash:0000081cdfdfefef
Color Hash:#ac7553

Scan History

Scan history not available

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