Security Scan Report: comune.portosantelpidio.fm.it

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Submitted: Dec 8, 2025, 4:24:18 AMCompleted: Dec 8, 2025, 4:24:51 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 5 domains to perform 115 HTTP transactions. The main domain is comune.portosantelpidio.fm.it.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate municipal website with no security concerns.

Safety Factors
Official government domain structure
Clear site purpose and transparent navigation
No suspicious redirects or hidden fields collecting sensitive data
Domain age information unavailable

Details

Page Title

Città di Porto Sant'Elpidio

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

entertainment media

(93%)

Domain Information

Domain 'comune.portosantelpidio.fm.it' uses the Italian country-code top-level domain (.fm.it) and includes subdomain 'comune'. The core label 'portosantelpidio' covers 16 characters split between 7 vowels and 9 consonants. Tokenizing the label suggests five words: porto, san, tel, pi, dio. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

17.60s
Total Load Time
115
HTTP Requests
5
Domains
4.5 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:6,594 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media93% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
93%
government public service
93%
education learning
91%
blog personal website
66%
forum community discussion
28%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1934.120.51.25Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1234.120.66.199Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1235.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
12104.248.196.220Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
1235.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1234.120.160.141Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
12188.166.57.74Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
12188.166.63.236Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
12165.232.93.253Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
1159--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18024D7218EF8D06E615380ECB6B4970ADAE5E503C44A9C6C75ED7B6C8F97DC28D1360E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:n5JoT90YJ3Xy+4dCiAXQa6I+mvSSmmSAFSH78:n5JobLSH78

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:217152:4AxIAEQqlExgiMOZA4iUhlQECAAQigGEOEQMBKoQASUfjScCCljBkVpIoAFIgHExd4FKDC0DFJIaFCSJViiJpACCMwcEKBSM

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:0000fffbffcf0000
Perceptual Hash:ece51212ed6cb4c9
Difference Hash:ccc52323020d3131
Wavelet Hash:0000ffffffff0000
Color Hash:#70862d

Scan History

Scan history not available

Unable to load historical scan data