Security Scan Report: www.umbria.camcom.it

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Submitted: Dec 7, 2025, 3:43:02 PMCompleted: Dec 7, 2025, 3:43:41 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 127 HTTP transactions. The main domain is umbria.camcom.it.

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

The Cisco Umbrella rank of the primary domain is #290,987 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate public institution site with no security concerns.

Safety Factors
Official public institution domain
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Camera di Commercio dell'Umbria - Camera di Commercio dell'Umbria

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(67%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.umbria.camcom.it' is registered with subdomain 'www.umbria'. The second-level label 'camcom' is 6 characters long holding two vowels versus 4 consonants. It segments into two words: cam, com. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

12.42s
Total Load Time
127
HTTP Requests
4
Domains
5.6 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:6,873 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service67% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
67%
corporate business
49%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2715.161.77.42Milan, Lombardy, Italy
AS16509AMAZON-02
253.124.107.183Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2535.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
25116.202.226.240Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
2535.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1275--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117B40C33540A119B5F3857EFE71EA61E21D9FF89A486DD40F8AB4E4CC946F3A108636C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:x1FkXWWFhcM+nAEal+XWWFhcM+nAERNBbXx:x1FkXWWFhcM+nAEal+XWWFhcM+nAERNP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500096:NIaKgkGFwQCCAAVQNAQg7kpEFgOwAQVRCATRAHCoQgsdVgDD68wQcAusQrAJCQkgEDwj8BEIIGAIFwaSGqEDBkEIgSQMUjCV

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:0000ffdbdbffffcf
Perceptual Hash:bc4616463cb696f4
Difference Hash:c4c1333333333e18
Wavelet Hash:0000df8381dfff8f
Color Hash:#aca553

Scan History

Scan history not available

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