Security Scan Report: www.comune.dormelletto.no.it

Submitted: Jan 21, 2026, 3:37:18 PMCompleted: Jan 21, 2026, 3:38:34 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is comune.dormelletto.no.it.

Submitted URL: https://www.comune.dormelletto.no.it/it-it/home

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Low‑risk municipal site; no immediate threats detected.

Safety Factors
No credential or payment collection fields
No external links or redirects
Site appears to be a public municipal domain
Domain age information unavailable

Details

Page Title

www.comune.dormelletto.no.it

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(95%)

Domain Information

You're looking at domain 'www.comune.dormelletto.no.it' on the Italian country-code top-level domain (.no.it), featuring subdomain 'www.comune'. The second-level label 'dormelletto' is 11 characters long with 4 vowels and 7 consonants. Tokenizing the label suggests 4 words: dorm, el, let, to. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.dormelletto.no.it/it-it/home

Page Load Overview

5.79s
Total Load Time
44
HTTP Requests
2
Domains
1.5 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:9,398 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service95% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
95%
documentation technical
68%
healthcare medical
42%
finance banking
41%
government
40%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44151.11.50.116Florence, Tuscany, Italy
AS24994genesys informatica srl
441--

Detected Technologies4

JQueryv3.6.0
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED048F77329A063D86558498E05B83099F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:sfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszO2bMy8OldL:PhoC9JSqzzbs6o3Sj3gcrsi2eA9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187254:CRAoLZiChkaRtRGBlB0FwAAABjHMlgwVpCQBwQQe3Ea4KCBgiMBkB1KBgWBTWkABuBQBAAFhRIMAUQ4QBQyJAmpzCw06GoAg

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:f0d0c0c0c0fcfcfc
Color Hash:#b9bf40

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data