Summary
This website contacted 131 IPs in 6 countries across 42 domains to perform 331 HTTP transactions. The main domain is oboti.vercel.app and was registered NaN years ago.
Submitted URL: https://oboti.vercel.app/promo.html
AI Security Verdict
High Risk
Confidence: 92%
Impersonates O Boticário on an unranked Vercel domain; high‑risk phishing.
Risk Factors
Details
Page Title
O Boticário - Presentes, Perfumaria, Cosméticos e mais!
Scan Type
public
Language
Portuguese
Category
blog personal website
(99%)Domain Information
Within the application-focused generic top-level domain (.app), 'oboti.vercel.app' is registered, featuring subdomain 'oboti'. The second-level label 'vercel' is 6 characters long split between two vowels and four consonants. Segmentation suggests 2 words: ver, cel. Expect three 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 |
|---|---|---|---|
| 71 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 3.209.147.20 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 2.20.245.170 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 2 | 178.250.1.8 | France | AS44788Criteo Technology SAS |
| 2 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 104.16.78.6 | United States | AS13335CLOUDFLARENET |
| 2 | 37.252.173.215 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 2 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 142.251.168.156 | United States | AS15169GOOGLE |
| 331 | 131 | - | - |
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
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