Security Scan Report: oboti.vercel.app

Submitted: Dec 11, 2025, 11:10:40 PMCompleted: Dec 11, 2025, 11:11:33 PMpubliccompleted
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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%

7
Risk Score

Impersonates O Boticário on an unranked Vercel domain; high‑risk phishing.

Risk Factors
Brand impersonation on a non‑official, unranked domain
Use of a generic Vercel subdomain to mimic O Boticário
Unranked domain while claiming a well‑known brand
Domain age information unavailable

Details

Page Title

O Boticário - Presentes, Perfumaria, Cosméticos e mais!

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

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

Security scan screenshot of https://oboti.vercel.app/promo.html

Page Load Overview

6.45s
Total Load Time
331
HTTP Requests
42
Domains
3.7 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-br
Text Length:8,405 chars
Detector Agreement:80%

Website Classification

Primary Category

blog personal website99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
99%
government public service
99%
news media journalism
99%
e-commerce shopping
99%
education learning
98%

Detected Features

Search
OG: product.group

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
71157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
23.209.147.20Ashburn, Virginia, United States
AS14618AMAZON-AES
22.20.245.170Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2188.114.97.3United States
AS13335CLOUDFLARENET
2178.250.1.8France
AS44788Criteo Technology SAS
252.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2104.16.78.6United States
AS13335CLOUDFLARENET
237.252.173.215Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
2195.181.175.41Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2142.251.168.156United States
AS15169GOOGLE
331131--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17AB42AB6B1482EB7C04B13D095014264F243A55AEF966983BA3D539DDBAFCB03B4B31D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9qV7CjtOOipfno64lxz8UASlr8U7KCjPowoD4ed1EUNa8g6aZf6UowG/hAPWqaVl:9qRH42H4O9790SB7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500483:CZZLsAalJQSiNTYYYBhBJTUBlo4cAzxmQKAQEgQKUgq4EhqQYJIABhz6CEBCYVgOxSB+EgXHUDIkFWAFCkgARapEMMAgkkr4

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:99819999991800ff
Perceptual Hash:983de327d81dc827
Difference Hash:322f33333333cc31
Wavelet Hash:ff9f101818180dff
Color Hash:#631f93

Scan History

Scan history not available

Unable to load historical scan data