Security Scan Report: www.elpinet.it

Redirected to:
https://comune.portosantelpidio.fm.it/it
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Submitted: Jun 13, 2026, 5:49:58 AMCompleted: Jun 13, 2026, 5:51:11 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is comune.portosantelpidio.fm.it.

Submitted URL: https://www.elpinet.it

Effective URL: https://comune.portosantelpidio.fm.it/itRedirected

AI Security Verdict

Safe Website

Confidence: 45%

1
Risk Score

The site appears to be a legitimate municipal page with no phishing or malware indicators.

Safety Factors
Domain age >20 years
No forms collecting credentials or payments
No malicious IoC or YARA detections
Redirect leads to municipal subdomain (comune.portosantelpidio.fm.it)
Domain age information unavailable

Details

Page Title

Città di Porto Sant'Elpidio

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

travel tourism

(54%)

Domain Information

The domain name 'www.elpinet.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. The core label 'elpinet' covers 7 characters with 3 vowels and four consonants. Splitting it apart reveals 3 words: el, pine, t. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.elpinet.it

Page Load Overview

3.88s
Total Load Time
77
HTTP Requests
7
Domains
4.9 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:10,572 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
54%
education learning
46%
government public service
45%
government
40%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1734.120.160.141Kansas City, Missouri, United States
AS396982Google LLC
12178.255.74.94Italy
AS206205Logica S.r.l.
1234.120.66.199Kansas City, Missouri, United States
AS396982Google LLC
1234.120.51.25Kansas City, Missouri, United States
AS396982Google LLC
12188.166.63.236Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
1246.16.90.194Rome, Lazio, Italy
AS52030Server Plan S.r.l.
776--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7A4E7F25EA62009790385D8A7E56B0D9B60D003C94ED8EE76DE679CCF9BDC88C6350D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:uUsW3teorg4VZ0m3InWf1pMw81UB3U96x6G5Q6kah5SzSH7C:uUsW3M4VZK95SH7C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:461447:LZCFIjIUwwroCGAATpACEEw4xoNCpKAAofCgYCRAPQbsCOGbMaAIQgQSCgQmLEUbIxo5UD5gY1JkiEEEBJYVkBsABJ2gBAEQ

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:0000ffffffff0000
Perceptual Hash:ece41343ec18b4ee
Difference Hash:c4cd262706333131
Wavelet Hash:0000ffffffff0000
Color Hash:#d2799a

Scan History

Scan history not available

Unable to load historical scan data