Security Scan Report: www.comune.amandola.fm.it

Submitted: Nov 13, 2025, 7:59:08 PMCompleted: Nov 13, 2025, 8:00:46 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 81 HTTP transactions. The main domain is comune.amandola.fm.it.

Submitted URL: https://www.comune.amandola.fm.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
No suspicious indicators detected
Content appears to be a municipal information page
Domain age information unavailable

Details

Page Title

Città di Amandola - Homepage

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(88%)

Domain Information

You're looking at domain 'www.comune.amandola.fm.it' on the Italian country-code top-level domain (.fm.it); it also runs on subdomain 'www.comune'. Count 8 characters in 'amandola' holding four vowels versus 4 consonants. Splitting it apart reveals three words: am, and, ola. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.amandola.fm.it/

Page Load Overview

78.72s
Total Load Time
81
HTTP Requests
1
Domains
3.5 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:4,847 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
88%
education learning
82%
corporate business
64%
documentation technical
54%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
81185.199.48.163UnknownUnknown
811--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112830F7192F0103F1293D1D8B674A70AEFB2AA4FDD9B4589B2FD07846F96DC1AA0351C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IAR3eDUcsvBb8aY/qH47rnGksS4dr/bMv1/:pul

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85419:lJjABUQoWQCgmCJQQkhAlkDAgkiYXAIiZICgUAEiCAgQ8bEYCQoBACWiVIKQSsTbAkOAECB9S4IxgQmoErIOABCAsIQQyGyA

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:00000008fffff100
Perceptual Hash:c2322ded536aaf14
Difference Hash:9c8eade9f0228711
Wavelet Hash:0000553cffffff00
Color Hash:#84931f

Scan History

Scan history not available

Unable to load historical scan data