Summary
API
Submitted URL: https://vodafone-on-line.it/venezia-cc-valecenter/
AI Security Verdict
High Risk
Confidence: 65%
Single-source phishing report on a site presenting Vodafone branding on a non-official domain. No forms or credential capture found, and store details look plausible, but the domain is unranked — verify through official Vodafone channels before interacting.
Risk Factors (3)
Details
Page Title
Venezia CC Valecenter - Vodafone - Via Enrico Mattei, 1 - Marcon
Scan Type
public
Domain Name Analysis
Within the Italian country-code top-level domain (.it), 'vodafone-on-line.it' is registered. Count 16 characters in 'vodafone-on-line' split between 7 vowels and seven consonants, plus 2 hyphens. Breaking it apart gives three words: vodafone, on, line. Median word length is 4 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 8 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 7 | 188.114.97.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 7 | 185.111.111.154 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 7 | 185.152.64.17Datacamp · CDN | Prague, Prague, Czech Republic | AS60068Datacamp Limited |
| 7 | 142.251.153.119Google · CDN | United States | AS15169Google LLC |
| 7 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 7 | 142.250.154.94Google · CDN | United States | AS15169Google LLC |
| 7 | 185.111.111.156 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 7 | 142.251.152.119Google · CDN | United States | AS15169Google LLC |
| 7 | 142.251.151.119Google · CDN | United States | AS15169Google LLC |
| 92 | 13 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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