Security Scan Report: www.comune.forni-avoltri.ud.it

Redirected to:
https://www.comune.forni-avoltri.ud.it/
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Submitted: Jun 16, 2026, 2:19:58 PMCompleted: Jun 16, 2026, 2:21:12 PMpubliccompleted

This website contacted 1 IP in 1 country across 4 domains to perform 58 HTTP transactions. The main domain is comune.forni-avoltri.ud.it.

Submitted URL: https://WWW.COMUNE.FORNI-AVOLTRI.UD.IT

Effective URL:

https://www.comune.forni-avoltri.ud.it/
Redirected

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Legitimate municipal website with low risk; no malicious activity detected.

Risk Factors (1)
Critical JavaScript obfuscation score (high entropy, base64, concatenation) – not alone sufficient for high risk
Safety Factors (3)
Domain is a municipal (.ud.it) site, typical for local government
Page type is an article (og:type=article) with no phishing intent
No external malicious resources loaded
Domain age information unavailable

Details

Page Title

Comune di Forni Avoltri

Scan Type

public

Domain Name Analysis

You're looking at domain 'WWW.COMUNE.FORNI-AVOLTRI.UD.IT' on the Italian country-code top-level domain (.ud.it); it also runs on subdomain 'www.comune'. The registrable portion 'forni-avoltri' spans 13 characters containing 5 vowels alongside 7 consonants, along with one hyphen. Segmentation suggests 5 words: for, ni, a, volt, ri. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://WWW.COMUNE.FORNI-AVOLTRI.UD.IT

Page Load Overview

6.03s
Total Load Time
3.9 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:6,124 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
58193.43.177.235Italy
AS44831Insiel- Informatica per il sistema degli enti locali S.p.A
581--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B972E5A8EC80F1297557C15AA795BCAE6332C507C6099D64F09F74D8BFC2E890A17BC8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:rexbYc0osMVuE+qYVTWR0RhnrdR6mPYbq70RLxpk+KcpaU/2:Y+4R0RhH6s70RLxp/Tol

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17019:w6SFASlaWEEE0ASAoGAgJACgDIhcBIBpjoaQJCwT6spJQIjZEJiamFhiAAiD0yIxCkgABwUwSIBtCzESIKACGqAJAGEJQGwA

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:0000001818000000
Perceptual Hash:883366cc993266c9
Difference Hash:0000081010080000
Wavelet Hash:0000343c3f3f3333
Color Hash:#d279c1

Other Hashes

Crop Resistant:0000081010080000

Scan History

Scan history not available

Unable to load historical scan data