Security Scan Report: www.comune.mongiuffimelia.me.it

Redirected to:
https://comune.mongiuffimelia.me.it/
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Submitted: May 24, 2026, 6:18:34 AMCompleted: May 24, 2026, 6:20:41 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 62 HTTP transactions. The main domain is comune.mongiuffimelia.me.it.

Submitted URL: https://www.comune.mongiuffimelia.me.it/

Effective URL: https://comune.mongiuffimelia.me.it/Redirected

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Low risk site with unknown age and no malicious activity detected; no credential or payment collection observed.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Domain age unknown
High JavaScript obfuscation score (though no malicious behavior detected)
Safety Factors
No forms collecting credentials or payments
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Content appears to be a municipal site (government public service)
Domain age information unavailable

Details

Page Title

Comune di Mongiuffi Melia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(52%)

Domain Information

The domain name 'www.comune.mongiuffimelia.me.it' uses the Italian country-code top-level domain (.me.it), featuring subdomain 'www.comune'. The second-level label 'mongiuffimelia' is 14 characters long containing seven vowels alongside 7 consonants. Tokenizing the label suggests 5 words: mong, iu, ff, i, melia. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.mongiuffimelia.me.it/

Page Load Overview

48.65s
Total Load Time
41
HTTP Requests
2
Domains
595 KB
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:4,659 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
52%
documentation technical
50%
technology software
39%
blog personal website
38%
corporate business
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4195.110.186.93Italy
AS31034Aruba S.p.A.
411--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15293EA312BAA203F512312EC366A774DB176583FD486541CBAFE63640FE9D814F96B0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:iIz4L+n8OUplPxc1MO6Y+SvEQO+OK9wHC/KU88W:iIz4L+0lPpSvEQO+OK9wHC/KU88W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94701:uRkIByAABjDsigIggUyNMUhuQZxIDEUdCwgIhkEQsQSkDTaCAZYAb3hFgwBWBrBiSMIiqEKxHlITEBZAAgxg2BEFQMKdWGKU

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:0000f1f1f1ffffff
Perceptual Hash:ee6a111166bc9cea
Difference Hash:cccb232707273b0f
Wavelet Hash:0000f1f1f1938fff
Color Hash:#87c590

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data