Summary
This website contacted 11 IPs in 3 countries across 6 domains to perform 43 HTTP transactions. The main domain is comune.novaledo.tn.it.
Submitted URL: https://www.comune.novaledo.tn.it/
AI Security Verdict
Safe Website
Confidence: 96%
0
Risk Score
The site appears to be a legitimate municipal website with no signs of phishing or malware.
Safety Factors
Official government domain (comune.novaledo.tn.it)
Standard HTML structure and transparent content
No suspicious external links or redirects
No noindex meta tags indicating hidden pages
No recent domain registration flags (age unknown but no risk indicators)
Domain age information unavailable
Details
Page Title
Comune di Novaledo
Scan Type
public
Language
🇮🇹
(80% confidence)Italian
Category
government public service
(97%)Screenshot
Page Load Overview
2.03s
Total Load Time
43
HTTP Requests
6
Domains
1.4 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:5,600 chars
Detector Agreement:100%
Website Classification
Primary Category
government public service97% confidence
Type: dynamic
Method: ml+structural
All Detected Categories
government public service
97%
healthcare medical
96%
technology software
26%
news/blog
20%
Detected Features
Search
OG: article
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 13 | 63.35.34.67 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 104.26.6.229 | United States | AS13335CLOUDFLARENET |
| 3 | 172.67.71.156 | United States | AS13335CLOUDFLARENET |
| 3 | 99.80.82.152 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 99.81.25.153 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 104.26.7.229 | United States | AS13335CLOUDFLARENET |
| 3 | 185.111.111.154 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 3 | 2606:4700:20::681a:7e5 | Unknown | Unknown |
| 3 | 2400:52e0:1e00:2::1328:1 | Unknown | Unknown |
| 3 | 2606:4700:20::ac43:479c | Unknown | Unknown |
| 43 | 11 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1FDE3B712B7D2106B12A3069FF02A7B38B6183C8EE1870DD6DFBA7764CBC9DD28535549
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
1536:hdU4pEHYWDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzA5:f9JoMBiO
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:149932:OCAgEUGKLAxAzIiohAdFGDhGMCEFJjERKA22MQGFQJwKBEhlWAAAtQFQ1hHxERGAJTkACTIFBDhAQSLgFFkZIMgQUQtbmhBI
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:0000c0e4f0f1c3e3
Perceptual Hash:e816396d54b3ee44
Difference Hash:cece8c8ce7031b03
Wavelet Hash:0000e4f6f0f3f3f3
Color Hash:#4d3a78
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data