Summary
This website contacted 26 IPs in 3 countries across 9 domains to perform 73 HTTP transactions. The main domain is comune.lesa.no.it.
Submitted URL: https://www.comune.lesa.no.it/
AI Security Verdict
Safe Website
Confidence: 95%
0
Risk Score
The site appears to be a legitimate municipal website with no detected malicious activity.
Safety Factors
Official-looking domain and page title
Absence of suspicious forms or data collection
No malicious Indicators of Compromise
No red‑flag keywords or brand impersonation
Domain age information unavailable
Details
Page Title
Comune di Lesa
Scan Type
public
Language
🇮🇹
(80% confidence)Italian
Category
government public service
(80%)Screenshot

Page Load Overview
14.67s
Total Load Time
73
HTTP Requests
9
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:10,031 chars
Detector Agreement:100%
Website Classification
Primary Category
government public service80% confidence
Type: spa
Method: ml+structural
All Detected Categories
government public service
80%
technology software
75%
documentation technical
71%
adult content
38%
news media journalism
36%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 2 | 142.250.186.131 | United States | AS15169GOOGLE |
| 2 | 142.250.185.228 | United States | AS15169GOOGLE |
| 2 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 23.36.162.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 86.107.32.149 | Italy | AS52030Server Plan S.r.l. |
| 2 | 142.250.185.164 | United States | AS15169GOOGLE |
| 2 | 216.58.206.67 | United States | AS15169GOOGLE |
| 2 | 35.152.38.193 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 2 | 23.56.205.206 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 2a02:26f0:3500:2a6::f09 | Unknown | Unknown |
| 73 | 26 | - | - |
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1F214F83656B8823E4697C3FCAA31E725E50AA1ABD6C782C4B3BDC6540BD3DC0A50F54D
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
3072:oUa0U2PbTDUDNuyG3uUuyG3uoxTndl5IV1ab6QCuQYSMhne8/Itl3wNCKuePtNL5:6Zndl573vVx86u+Ixpk7
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:191905:AEuIACIx5KsS0FFD4hAM5MggyRAxEEzoggggGEgkICotYGlJSjUYRCETMAB4ECloIk24AFmAlEGegAFEYtgVPKCBhcSheAyZ
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:0000f1f1f3f3feff
Perceptual Hash:ee6b111403d8ecee
Difference Hash:dcc7272767071464
Wavelet Hash:0000f1f1f1d1dcff
Color Hash:#4d3a78
Other Hashes
Crop Resistant:dcc7272767071464,86de272727272717
Scan History
Scan history not available
Unable to load historical scan data