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Security Scan Report: oboticariodiasdasmae.vercel.app

Submitted: Jul 10, 2026, 8:51:15 AMCompleted: Jul 10, 2026, 8:52:24 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is oboticariodiasdasmae.vercel.app and was registered NaN years ago.

Submitted URL: https://oboticariodiasdasmae.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site mimics O Boticário branding on an unranked Vercel subdomain but lacks credential collection; treat as moderate risk.

Risk Factors
Brand impersonation on a mismatched, unranked domain
Unknown subdomain age (potentially brand new)
Use of a major brand name without official affiliation
Safety Factors
No forms collecting credentials or payment information
No malicious JavaScript or external command‑and‑control indicators
No network IDS or Safe Browsing alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Combo Lily: Eau de Parfum 75ml + Creme Acetinado Hidratante Desodorante 250g | O Boticário

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(39%)

Domain Information

You're looking at domain 'oboticariodiasdasmae.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'oboticariodiasdasmae'. Count 6 characters in 'vercel' with two vowels and four consonants. It segments into 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oboticariodiasdasmae.vercel.app/

Page Load Overview

2.42s
Total Load Time
16
HTTP Requests
8
Domains
284 KB
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:6,468 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
39%
education learning
37%
blog personal website
37%
healthcare medical
28%
documentation technical
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.16.79.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4216.198.79.195United States
AS16509Amazon.com, Inc.
4104.26.11.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.95Google · CDNUnited States
AS15169Google LLC
164--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14FB3C876A6B300767913D6AD6BA3575B3660B003F10AC61476DC7248CFCE8D4DA63ABC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:sG5JPPWfSvXsrpg1FbeLVzG9BS5kfFndCqYr6SpeeB8soYboLrbSD5W08XsoYolM:Wg11eLxGDS5yDc6oeeBboFnAoDv4OP6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:107700:0AYSAACAhVQPshZHKPGGMtklpBRIFAuAGyKQoHiyEiRw2JQRCAgSIBqQLB0IKBOQC4ESIEgSkKhNJAEgAIuhPOQkTlBiLaO6

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:81437ffffff3cbc1
Perceptual Hash:a996699c6f98c691
Difference Hash:338ec02c67371313
Wavelet Hash:00007f87bff3cbc1
Color Hash:#ac538e

Other Hashes

Crop Resistant:338ec02c67371313

Scan History

Scan history not available

Unable to load historical scan data