Security Scan Report: www.comune.albinea.re.it

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Submitted: Jan 10, 2026, 3:01:56 AMCompleted: Jan 10, 2026, 3:03:25 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 34 HTTP transactions. The main domain is comune.albinea.re.it.

Submitted URL: https://www.comune.albinea.re.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no detected security threats.

Safety Factors
Official municipal domain (comune.albinea.re.it)
No credential or payment collection forms
No malicious Indicators of Compromise
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Comune di Albinea

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

healthcare medical

(99%)

Domain Information

The domain name 'www.comune.albinea.re.it' uses the Italian country-code top-level domain (.re.it), featuring subdomain 'www.comune'. The core label 'albinea' covers 7 characters containing four vowels alongside three consonants. Splitting it apart reveals 2 words: albin, ea. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.albinea.re.it/

Page Load Overview

15.37s
Total Load Time
48
HTTP Requests
3
Domains
613 KB
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-IT
Text Length:9,673 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical99% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
99%
government public service
99%
blog personal website
99%
news media journalism
99%
social media network
97%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16104.18.10.207United States
AS13335CLOUDFLARENET
1635.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
16158.255.242.167Italy
AS12874Fastweb
483--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B393B732538C953A066F43D460A37A08E167E53FEDC2B8C8B3F9615C87CADA1695392D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QXapRc0iC/BGIc7DBCCBa+lDF0xOijMBrJyE3jX0gG7y7wOJUpbg4KXdj/N1:QKdiGEIc7DBCCBa+TijMBrJgDpg4KXdb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93366:kqwYEiTRkAHABoMKaoUAEE6JgRgASBsQBAAMFAKcIMhQXqKPBbgqIBNCAgZMChrG2jEEMCTxzARZMWRIIGEWBBEGjNSIAAKY

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:fd9f00107bfbf9fb
Perceptual Hash:a914ebe9c65f3421
Difference Hash:4131bc61f3137353
Wavelet Hash:001f00183bfbf9fb
Color Hash:#2d7086

Scan History

Scan history not available

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