Summary
This website contacted 8 IPs in 2 countries across 3 domains to perform 47 HTTP transactions. The main domain is comune.pavullo-nel-frignano.mo.it.
Submitted URL: https://www.comune.pavullo-nel-frignano.mo.it/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Comune di Pavullo nel Frignano
Scan Type
public
Language
Italian
Category
corporate
(50%)Domain Information
Domain 'www.comune.pavullo-nel-frignano.mo.it' uses the Italian country-code top-level domain (.mo.it); it also runs on subdomain 'www.comune'. Its registrable label 'pavullo-nel-frignano' stretches across 20 characters with 7 vowels and 11 consonants; bonus characters include 2 hyphens. Tokenizing the label suggests 7 words: p, avul, lo, nel, f, rig, nano. The median word length lands at three characters. Most frequently, 'p' shows up in Spanish. Secondary signals appear in Italian and Albanian. Overall, 'www.comune.pavullo-nel-frignano.mo.it' reads as Spanish with character flair.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 12 | 35.152.40.99 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 5 | 23.36.162.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 35.152.38.193 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 5 | 69.172.96.138 | Florence, Tuscany, Italy | AS214169Cloudfire s.r.l. |
| 5 | 2a02:26f0:3500:18::1724:a29a | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 23.36.162.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2a02:26f0:3500:18::1724:a28c | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 23.36.162.200 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 47 | 8 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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