Summary
This website contacted 29 IPs in 3 countries across 9 domains to perform 71 HTTP transactions. The main domain is comune.tavigliano.bi.it.
Submitted URL: https://www.comune.tavigliano.bi.it/
AI Security Verdict
Safe Website
Confidence: 92%
1
Risk Score
The site appears to be a legitimate municipal website with no malicious activity detected.
Safety Factors
Absence of credential‑collection or payment forms
No malicious Indicators of Compromise detected
Public‑facing municipal site with typical navigation and content
Domain age information unavailable
Details
Page Title
Comune di Tavigliano
Scan Type
public
Language
🇮🇹
(80% confidence)Italian
Category
government public service
(81%)Screenshot

Page Load Overview
50.53s
Total Load Time
71
HTTP Requests
9
Domains
1.7 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:11,382 chars
Detector Agreement:100%
Website Classification
Primary Category
government public service81% confidence
Type: spa
Method: ml+structural
All Detected Categories
government public service
81%
technology software
77%
documentation technical
72%
news media journalism
42%
adult content
40%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 2 | 23.36.162.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 142.250.185.164 | United States | AS15169GOOGLE |
| 2 | 35.152.40.99 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 2 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 142.250.181.227 | United States | AS15169GOOGLE |
| 2 | 23.56.205.206 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 142.250.74.195 | United States | AS15169GOOGLE |
| 2 | 86.107.32.149 | Italy | AS52030Server Plan S.r.l. |
| 2 | 2a02:26f0:3500:18::1724:a291 | Unknown | Unknown |
| 71 | 29 | - | - |
Detected Technologies10
100%
100%
70%
50%
50%
20%
20%
20%
20%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T15904F93692E8823E0597C2FDAA71B714E51E91BBE5D78384B2BE86500BD3DC0E60F54D
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
3072:1oo0VTm2WWq4QwuyG3uUuyG3uGj7ndl50V1ab6QCuQYSMhne8/Itl3wNCKuePtNV:N0ndl5v3v1/T
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:190169:pjAhI+CQQ4gGGACCghDMpBPglwAIAWHCUIqE7JJEAAgFKU5GgEXCgARoAhDggjhrIGEIFKHgBERlQkbAIaQRAXDAZYFgjFIt
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:0000f1f1f1fbfeff
Perceptual Hash:ee2c11133296edec
Difference Hash:dcc3272723237c44
Wavelet Hash:0000b1d1f1f1fcff
Color Hash:#2d8633
Other Hashes
Crop Resistant:dcc3272723237c44,94c6cecc23276723,2c6c6c4c8c0a020b
Scan History
Scan history not available
Unable to load historical scan data