Security Scan Report: comune.santelpidioamare.fm.it

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Submitted: Dec 16, 2025, 1:40:57 PMCompleted: Dec 16, 2025, 1:41:55 PMpubliccompleted
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Summary

This website contacted 42 IPs in 4 countries across 7 domains to perform 59 HTTP transactions. The main domain is comune.santelpidioamare.fm.it.

Submitted URL: https://comune.santelpidioamare.fm.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official municipal domain structure (comune.santelpidioamare.fm.it)
Content aligns with public municipal information (events, news)
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

Comune di Sant'Elpidio a Mare | Comune di Sant'Elpidio a Mare

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(78%)

Domain Information

The domain 'comune.santelpidioamare.fm.it' uses the Italian country-code top-level domain (.fm.it) and includes subdomain 'comune'. The registrable portion 'santelpidioamare' spans 16 characters containing 8 vowels alongside eight consonants. Breaking it apart gives six words: san, tel, pi, dio, am, are. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://comune.santelpidioamare.fm.it/

Page Load Overview

22.95s
Total Load Time
59
HTTP Requests
7
Domains
2.4 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:8,657 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
78%
documentation technical
45%
blog personal website
33%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18142.250.186.170United States
AS15169GOOGLE
1142.250.185.170United States
AS15169GOOGLE
1142.250.185.234United States
AS15169GOOGLE
1104.18.1.22United States
AS13335CLOUDFLARENET
1195.231.24.148Lurano, Lombardy, Italy
AS31034Aruba S.p.A.
1172.217.18.10United States
AS15169GOOGLE
1141.95.161.68France
AS16276OVH SAS
1104.17.24.14United States
AS13335CLOUDFLARENET
1142.251.141.74United States
AS15169GOOGLE
1185.199.110.153United States
AS54113FASTLY
5942--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0545B32B346202AB933C66570E0ABECE536E246E9530EBDF5ED67244FC7C915613B18

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ns88wCdu7mqujVHEiJ8YOabWGN9cIwUOae5bib80OFy214safyr2xzKbxgZBhiPZ:s88wkHW46Ib2Fy2RaqqgmhqSvi/8I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:282023:hMAAIICKYgGKRmSb2mCGeoCMFwBJCjtIBYE4SgNIXBAnBAYOkP0MJPXBEkIgBMRfAEQmdAWJEIuBAUYArckCBN3IMrXhKCEA

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:0000ffffffffc3c3
Perceptual Hash:b44b24433cb79eb4
Difference Hash:c4ce3020656a1616
Wavelet Hash:0000bfffbf2b0303
Color Hash:#8abf40

Scan History

Scan history not available

Unable to load historical scan data