Security Scan Report: umbropro5.vercel.app

Redirected to:
https://netshoesbr.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 14 IPs in 2 countries across 9 domains to perform 60 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://umbropro5.vercel.app

Effective URL:
https://netshoesbr.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 75%

8
Risk Score

Fake-looking Umbro shoe store on a free vercel.app subdomain, flagged for phishing and redirecting to a Netshoes-branded subdomain. No payment form here, but brand misuse and deceptive hosting warrant avoidance.

Risk Factors (5)
Single-source phishing threat-intel match on the primary domain
Brand-name subdomain (Umbro product branding) on free shared hosting with no legitimate merchant footprint
Deceptive brand-named redirect target (netshoesbr.vercel.app) impersonating a well-known retailer
Unranked domain selling branded goods, a common profile of counterfeit/fake storefronts
Unverifiable review and urgency claims used as purchase pressure
Domain age information unavailable

Details

Page Title

Chuteira Futsal Umbro Pro 5 Bump | Compre Agora

Scan Type

public

Domain Name Analysis

You're looking at domain 'umbropro5.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'umbropro5'. Count 6 characters in 'vercel' containing 2 vowels alongside 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

nvio rapido N O que você está procurando? CHUTEIRAS CAMISAS SELEÇÕES ALBUM & FIGURINHAS MAIS VENDIDO J DESTAQUE [s2Chuteira Futsal Umbro Pro 5 Bump Kintsugi na cor Kintsugi Oferta limitada PIX di...

Page Load Overview

0.81s
Total Load Time
19.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-BR
Text Length:7,087 chars
Detector Agreement:100%

All Detected Languages

🇵🇹pt(95%)🇮🇹it(2%)🇪🇸es(2%)🇱🇹lt(1%)🇪🇸ca(1%)

Website Classification

Primary Category

entertainment media96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
96%
documentation technical
92%
finance banking
91%
adult content
86%
e-commerce shopping
85%

Detected Features

OG: product

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1965.9.130.111Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5142.250.154.94Google · CDNUnited States
AS15169Google LLC
464.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
423.207.210.156Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4142.251.13.95Google · CDNUnited States
AS15169Google LLC
465.9.130.24Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
495.101.9.146Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
464.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
423.207.210.145Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6014--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152D39374230C3E2DA51B8BE8F760B769526DA240FA5BD1ACA2BC15B157C7C84EC376C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YnZLsXx/c64Jysq7vkH5PFRNRRRRNFwwwwAfwwwwZUwwww46wwwwqJwwwwS1wwwB:tKxFM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:132101:CAKm57AUQh2BgIGcjoeRBAJAVYgVA5mQFAEAwAeEIWjoULyIXEwQ44AD0KiGQhAJgcFCKxBUYwAARM5hHYA6AgFGmS0PI0ME

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:0000ffffffffffff
Perceptual Hash:c64e4f47464745e6
Difference Hash:c52606c4e4e66664
Wavelet Hash:0000f0f6f6f0f6f6
Color Hash:06000000038

Scan History

Scan history not available

Unable to load historical scan data