Summary
This website contacted 27 IPs in 7 countries across 13 domains to perform 48 HTTP transactions. The main domain is vivalojaoficial.vercel.app and was registered NaN years ago.
Submitted URL: https://vivalojaoficial.vercel.app/
AI Security Verdict
Safe Website
Confidence: 93%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Viva Sorte
Scan Type
public
Language
Portuguese
Category
healthcare medical
(92%)Domain Information
The domain name 'vivalojaoficial.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'vivalojaoficial'. The second-level label 'vercel' is 6 characters long with 2 vowels and four consonants. Word splitting yields two words: ver, cel. Expect 3 characters per word on average. 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 |
|---|---|---|---|
| 1 | 64.29.17.3 | United States | AS16509AMAZON-02 |
| 1 | 216.58.209.202 | United States | AS15169GOOGLE |
| 1 | 43.175.146.86 | Singapore | AS139341ACE |
| 1 | 2.16.168.55 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2.20.245.166 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 2.16.168.52 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 8.47.69.0 | United States | AS13335CLOUDFLARENET |
| 1 | 216.198.79.3 | United States | AS16509AMAZON-02 |
| 1 | 5.161.243.248 | Ashburn, Virginia, United States | AS213230Hetzner Online GmbH |
| 48 | 27 | - | - |
Detected Technologies3
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
Scan History
Scan history not available
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