Security Scan Report: www.uc-amiatavaldorcia.si.it

Redirected to:
https://www.uc-amiatavaldorcia.si.it/it
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Submitted: Jun 9, 2026, 9:30:45 AMCompleted: Jun 9, 2026, 9:31:58 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is uc-amiatavaldorcia.si.it and was registered NaN years ago.

Submitted URL: https://www.uc-amiatavaldorcia.si.it

Effective URL: https://www.uc-amiatavaldorcia.si.it/itRedirected

AI Security Verdict

Safe Website

Confidence: 85%

3
Risk Score

The site appears to be a legitimate government public‑service page with no phishing or malware indicators.

Risk Factors
Domain is unranked in Cisco Umbrella top 1M
High JavaScript obfuscation score
Safety Factors
Long‑standing domain registration
Absence of login/payment forms
No Indicators of Compromise or malware signatures
No credential exfiltration observed
Domain age information unavailable

Details

Page Title

Unione dei Comuni Amiata Val d'Orcia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(76%)

Domain Information

The domain name 'www.uc-amiatavaldorcia.si.it' uses the Italian country-code top-level domain (.si.it); it also runs on subdomain 'www'. The core label 'uc-amiatavaldorcia' covers 18 characters with 9 vowels and 8 consonants, notching 1 hyphen. Word splitting yields 5 words: uc, am, iata, vald, orcia. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.uc-amiatavaldorcia.si.it

Page Load Overview

2.77s
Total Load Time
46
HTTP Requests
4
Domains
2.3 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:3,698 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
76%
government
40%
documentation technical
32%
adult content
30%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1334.149.107.255Kansas City, Missouri, United States
AS396982Google LLC
1134.120.66.199Kansas City, Missouri, United States
AS396982Google LLC
1134.120.160.141Kansas City, Missouri, United States
AS396982Google LLC
11165.232.93.253Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
464--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1E3B6215DB9E05DA01340ECB6B99709D6F9E11390499C9C7AED7A7C8F93ECA8C1360F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:C3V8BGdQZYTCXzbjvCg065KaRiM7jZv2ShvFaszD73G/H707qrq:w8BGdQZYeD/VkaRiM7jZv2Sh9+H7k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148628:0SAWBEZBwIQgFW6UAsACJhoAo8AjKBkcbAjIAUCiEkMRBBBgVAQUaQLaQAh0MCaFBXUssGYXGvNBPJCMIoqIQ4qdsQWARMh2

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:fffbe3f3ffff0000
Perceptual Hash:ebe718909061e72f
Difference Hash:942b0b0b2a0b7131
Wavelet Hash:8981e3f3ffff0000
Color Hash:#bf4084

Scan History

Scan history not available

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