Summary
This website contacted 15 IPs in 3 countries across 7 domains to perform 52 HTTP transactions. The main domain is comune.ottaviano.na.it.
Submitted URL: https://www.comune.ottaviano.na.it/it
AI Security Verdict
Safe Website
Confidence: 95%
0
Risk Score
The site appears to be a legitimate municipal website with no signs of malicious activity.
Safety Factors
Official government domain
Absence of phishing or malware indicators
No collection of sensitive data
No suspicious external domains
Domain age information unavailable
Details
Page Title
Comune di Ottaviano
Scan Type
public
Language
🇮🇹
(80% confidence)Italian
Category
government public service
(88%)Screenshot
Page Load Overview
35.38s
Total Load Time
52
HTTP Requests
7
Domains
6.4 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:5,984 chars
Detector Agreement:100%
Website Classification
Primary Category
government public service88% confidence
Type: dynamic
Method: ml+structural
All Detected Categories
government public service
88%
education learning
58%
healthcare medical
55%
corporate
25%
Detected Features
Search
OG: website
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 142.250.186.138 | United States | AS15169GOOGLE |
| 3 | 35.152.38.193 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 3 | 104.248.196.220 | Amsterdam, North Holland, Netherlands | AS14061DIGITALOCEAN-ASN |
| 3 | 34.120.51.25 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 34.120.160.141 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 34.120.66.199 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 142.250.186.131 | United States | AS15169GOOGLE |
| 3 | 142.250.186.42 | Unknown | Unknown |
| 3 | 35.152.40.99 | Unknown | Unknown |
| 3 | 188.166.63.236 | Unknown | Unknown |
| 52 | 15 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focused
Specialized for malware detection and similarity analysis
T1D214D8215EF8D06E501380ECB6B8970AD6E9E513944D9C5C7AED2B6C8F93EC68D1360F
ssdeep (Context Triggered Piecewise Hashing)
Context-aware
Detects similar content even with modifications
1536:hDF0tCMNt7CT6qu6fv838X52ml4v3agPyxhP2x2YLa1JPoibapmER4KJQQRFaszz:WCT6PKE2uy+yxhP2x2YLa1JP0+H7U
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:192763:PoApJCBZEEQACVo4hDJmGC00hAg5fyyEQaHIuUQKklHdAwgAJgWAEEigZE0zgUVckBOCAADoIHwEEEnAsCC4IAa1UJhgRTB6
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:0000fffbffff0000
Perceptual Hash:ece61239476cb9c2
Difference Hash:ccc42327433333f1
Wavelet Hash:0000ffffffff0000
Color Hash:#4d3a78
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data