Summary
This website contacted 29 IPs in 2 countries across 3 domains to perform 50 HTTP transactions. The main domain is comune.maiolo.rn.it.
Submitted URL: https://www.comune.maiolo.rn.it/
AI Security Verdict
Safe Website
Confidence: 92%
1
Risk Score
The site appears to be a legitimate municipal portal with no signs of phishing or malware.
Safety Factors
Absence of credential‑harvesting or payment forms
Official‑looking branding and service listings typical of a local government site
No malicious Indicators of Compromise detected by threat intelligence
Domain age information unavailable
Details
Page Title
Comune di Maiolo
Scan Type
public
Language
🇮🇹
(80% confidence)Italian
Category
government public service
(33%)Screenshot
Page Load Overview
11.62s
Total Load Time
50
HTTP Requests
3
Domains
2.1 MB
Total Size
Language Analysis
Primary Language
🇮🇹Italian
Code: itConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:6,783 chars
Detector Agreement:100%
Website Classification
Primary Category
government public service33% confidence
Type: spa
Method: ml+structural
All Detected Categories
government public service
33%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 22 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 142.250.186.42 | United States | AS15169GOOGLE |
| 1 | 142.250.185.138 | United States | AS15169GOOGLE |
| 1 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 89.39.239.101 | Imola, Emilia-Romagna, Italy | AS31638Lepida S.c.p.A. |
| 1 | 142.250.185.202 | United States | AS15169GOOGLE |
| 1 | 216.58.212.170 | United States | AS15169GOOGLE |
| 1 | 172.217.18.106 | Unknown | Unknown |
| 1 | 2a04:4e42::649 | Unknown | Unknown |
| 1 | 142.250.185.170 | Unknown | Unknown |
| 50 | 29 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1F2E3C93682F8922E0566C2FCABB1BB15EA4AD18BD5D78558B3ACC7840FD3DD0E90754C
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
3072:E63ehp0zDrTTXNV1ab6QCuQYSMhne8/Itl3wNCKuePtNLuFCRWcccXAixLajb2/s:k3vuCRWcccXAixLajb2/fC/zh
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:154696:lGhQBwKEcKSYUQlPWlEYgIWnPJnUKAEQCgK0FICEBEwAQ4R4IUCCBDKECIoaMMAQAjTAJOFQI4qBgAcECHJoCaMSnuagICAL
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:0000f1f3f1f3ffff
Perceptual Hash:ee6211616d95ea6a
Difference Hash:d6c5252323475063
Wavelet Hash:000091d1f1f1ffbf
Color Hash:#452dd2
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data