Security Scan Report: www.comune.ripesanginesio.mc.it

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 3 domains to perform 59 HTTP transactions. The main domain is ripesanginesio.mc.it.

Submitted URL: https://www.comune.ripesanginesio.mc.it/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate municipal site with no apparent security concerns.

Safety Factors (4)
No credential or payment forms present
No malicious Indicators of Compromise detected
Standard informational website layout
Domain is a subdomain of an official municipal domain
Domain age information unavailable

Details

Page Title

Comune di Ripe San Ginesio

Scan Type

public

Domain Name Analysis

The domain 'www.comune.ripesanginesio.mc.it' uses the Italian country-code top-level domain (.mc.it); it also runs on subdomain 'www.comune'. The core label 'ripesanginesio' covers 14 characters with seven vowels and seven consonants. Segmentation suggests 5 words: ripe, sang, in, e, sio. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.ripesanginesio.mc.it/

Page Load Overview

2.01s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:7,030 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical67% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
67%
government public service
43%
blog personal website
39%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2135.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
19217.73.228.5Ponte San Pietro, Lombardy, Italy
AS31034Aruba S.p.A.
19151.101.130.137United States
AS54113FASTLY
593--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F504E93553FC827E139BC3E96A70AA199E0991A7E9D780C473BD8B800FC6DD0F90B519

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bukpv002G2Npd4bYqI2QWwMh/e8tILlLwNyKuKrtLLgD45qo4P4d4l494ip4D4pA:9vtooYO4G9p2eInqE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:179843:fhGAOQhzB0ckICkiCAWGQzTIgSYYAsKAAmWDFmgqADgCSBB0rqXq4IABtRsRJGJRAig5hBAM7GgiALMQjheKUUDQRDBBDI5S

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:0000f3fffbffdf00
Perceptual Hash:ee46115117bc46ed
Difference Hash:9cc327274383333b
Wavelet Hash:0000f7f5f3ffcb00
Color Hash:#ac5396

Scan History

Scan history not available

Unable to load historical scan data