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

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Submitted: Jan 2, 2026, 12:23:58 AMCompleted: Jan 2, 2026, 12:25:48 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 5 domains to perform 51 HTTP transactions. The main domain is molise.camcom.gov.it and was registered NaN years ago.

Submitted URL: https://www.molise.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 government domain (.gov.it)
Domain age > 3 years
No malicious Indicators of Compromise matches
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Camera di Commercio del Molise

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

corporate business

(77%)

Domain Information

Within the Italian country-code top-level domain (.gov.it), 'www.molise.camcom.gov.it' is registered and includes subdomain 'www.molise'. The registrable portion 'camcom' spans 6 characters containing 2 vowels alongside 4 consonants. Splitting it apart reveals two words: cam, com. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

31.59s
Total Load Time
45
HTTP Requests
5
Domains
1.8 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:8,153 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
77%
government public service
61%
government
48%
documentation technical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.17.24.14United States
6104.20.20.192United States
AS13335CLOUDFLARENET
635.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
680.82.9.94Italy
AS25569InfoCamere SCpA
6172.66.171.172United States
AS13335CLOUDFLARENET
63.124.107.183Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6104.17.25.14United States
AS13335CLOUDFLARENET
457--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AFE38430B2E4103A01CB42C5E975AE1C5E91F347D60A24C076FE4B799FEAE627D5632E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DYitFNIp7E+n0dw6jOQVxZqLE7NABl5ZhK2QpWhKAZielU8iH192LBk158WsOMLh:DnO4bc5ifnX+IX+kAnjJvgb1GmTk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:146460:ACJpGBzWIAJVILIoEkqXIIAiZKkDgCzWEkiQI1QKaQpoJhCCwCJgCAFrGCypgAoJPMqMUCDIE8MEEzA4rAEEoGBKQSQEbkAo

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:4000076f0f0f4043
Perceptual Hash:a0534e2fb1d23e0f
Difference Hash:cec3fd9cdebf81a2
Wavelet Hash:60010f6f0fff61c3
Color Hash:#6c92e0

Scan History

Scan history not available

Unable to load historical scan data