Security Scan Report: comune.romagnanoalmonte.sa.it

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Submitted: Mar 6, 2026, 2:05:59 PMCompleted: Mar 6, 2026, 2:07:22 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is comune.romagnanoalmonte.sa.it.

Submitted URL: https://comune.romagnanoalmonte.sa.it/

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Legitimate municipal website with no detected security threats.

Safety Factors
Absence of malicious Indicators of Compromise
No credential or payment collection forms
Standard municipal branding consistent with domain
No redirects or suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Comune di Romagnano al Monte -

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

corporate

(35%)

Domain Information

You're looking at domain 'comune.romagnanoalmonte.sa.it' on the Italian country-code top-level domain (.sa.it) and includes subdomain 'comune'. Count 16 characters in 'romagnanoalmonte' holding seven vowels versus nine consonants. Tokenizing the label suggests four words: romagna, no, al, monte. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://comune.romagnanoalmonte.sa.it/

Page Load Overview

4.00s
Total Load Time
32
HTTP Requests
3
Domains
2.2 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:5,641 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
government public service
28%
healthcare medical
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12151.101.66.137United States
10192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
1034.160.206.98Kansas City, Missouri, United States
AS396982Google LLC
323--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19C041872C3F8927E16D683FC9B707725BA5A919BD1C74258B2AC8B801FD3DD1E907848

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BN0TtLzz3AEV1ab6QCuQYSMhne8/Itl3wNCKuePtNLuUbvyT5e6FnQT3qg47SrOl:53v5bvyNe6FnQO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:177762:hAhUEROKLEEC0EQDkCAexVES6U4YDAAHKHlCATLiCRAAGF2HOOLUAgSFBoVwtARAAgMUgECCWykBqiIGFHGGDKAABiFCPYml

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:0000f1f1f1f3ffff
Perceptual Hash:ee6411136a99ecea
Difference Hash:c4c7272323435a6f
Wavelet Hash:000091d1f1f1ffbf
Color Hash:#5354ac

Scan History

Scan history not available

Unable to load historical scan data