Security Scan Report: www.caor.camcom.it

Submitted: Jan 21, 2026, 9:33:29 PMCompleted: Jan 21, 2026, 9:34:45 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 162 HTTP transactions. The main domain is caor.camcom.it and was registered NaN years ago.

Submitted URL: https://www.caor.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 regional chamber of commerce site with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No sensitive data collection forms
Standard cookie consent banner (non‑malicious)
Domain age information unavailable

Details

Page Title

Home | Camera di Commercio Cagliari - Oristano

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(49%)

Domain Information

The domain 'www.caor.camcom.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www.caor'. Count 6 characters in 'camcom' containing 2 vowels alongside 4 consonants. Word splitting yields two words: cam, com. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.50s
Total Load Time
150
HTTP Requests
4
Domains
4.9 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:7,932 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service49% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
49%
corporate business
38%
documentation technical
37%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39104.20.20.192United States
AS13335CLOUDFLARENET
373.124.107.183Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
3780.82.9.117Italy
AS25569InfoCamere SCpA
3735.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1504--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107B3B5315AF02037019712C4BA31E62EAAD3E993DA060544B7FC5B5ECFDAE904D6B61F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DJkMCdc3K7GK75mT93RpKtFKqNxZzgMS414XjaxqawOuOSLOhU+vC2XXeBilH7n4:9kMCdc3K7GK7ET9pW8L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:108694:CgSmTBSIIMEpCcUCIV6SIjAcQjUgkCIwMMVCRaSUcICwkJqhgxCgRwhCqVqgzwoL5CQ4bAExSJQKZJh4EAiCQ5OKJEKsREVg

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:0024ffffbf000000
Perceptual Hash:9393604e9f61a9ad
Difference Hash:4dcd5a786c9d83a6
Wavelet Hash:00ffffffff000000
Color Hash:#6ce0b5

Scan History

Scan history not available

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