Security Scan Report: www.pc.camcom.it

Redirected to:
https://www.emilia.camcom.it/
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Submitted: May 27, 2026, 4:23:40 PMCompleted: May 27, 2026, 4:24:58 PMpubliccompleted
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Summary

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

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

Effective URL: https://www.emilia.camcom.it/Redirected

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears legitimate with minimal risk; no phishing, malware, or credential harvesting observed.

Risk Factors
Low Cisco Umbrella ranking (rank #290,987) for a site claiming a public institution
Safety Factors
Long‑standing domain registration
Absence of malicious code or suspicious network alerts
No credential or payment forms
Consistent branding with official sub‑domain
Domain age information unavailable

Details

Page Title

Camera di Commercio dell'Emilia - Camera di Commercio dell'Emilia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

corporate business

(97%)

Domain Information

Domain 'www.pc.camcom.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www.pc'. The registrable portion 'camcom' spans 6 characters split between two vowels and four consonants. Word splitting yields 2 words: cam, com. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.35s
Total Load Time
78
HTTP Requests
4
Domains
10.3 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:6,461 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
97%
government public service
90%
education learning
53%
documentation technical
33%
travel tourism
28%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3915.161.77.42Milan, Lombardy, Italy
AS16509Amazon.com, Inc.
3923.88.63.249Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
782--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8A4D83585983CBF579B0201BCFF2B2CA55DA49FD4C1DA12FBED8E2D0396AE04571A06

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:pjfMU7fgkuPnI3l+wdsaqdkW/Gfka4s0Rq6PJzIM5UkWEES5kL:XMKekL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:474997:ggBimsxEaQZHA5miAdAkUgAiQyngYoIMhUAjUiBkUWgATFAUJlCi1EOIEEgmIANYJkKOgkAIEIQAhDSRgdAAigYyQQEpSKQA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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