Security Scan Report: matriz-treinamentos-shopee.vercel.app

Redirected to:
https://matriz-treinamentos-shopee.vercel.app/login
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Submitted: Sep 23, 2026, 5:50:02 PMCompleted: Sep 23, 2026, 5:50:44 PMpubliccompleted

This website contacted 6 IPs in 1 country across 4 domains to perform 15 HTTP transactions. The main domain is matriz-treinamentos-shopee.vercel.app and was registered 18 years ago.

Submitted URL: https://matriz-treinamentos-shopee.vercel.app/

Effective URL:

https://matriz-treinamentos-shopee.vercel.app/login
Redirected

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Login page impersonating Shopee/SPX BR as an 'internal training portal' on an unranked vercel.app subdomain, harvesting email and password credentials. Brand impersonation plus a credential form warrants a high-risk rating.

Risk Factors (4)
Brand impersonation of Shopee on a mismatched, unofficial vercel.app subdomain
Credential (email + password) harvesting form on a platform subdomain of unknown age
Unranked domain (no Cisco Umbrella reputation) claiming to be a corporate internal tool
Copyright notice shows an anomalous future year ('© 2026')
Domain age information unavailable

Details

Page Title

Portal de Treinamentos - SPX BR

Scan Type

public

Domain Name Analysis

The domain name 'matriz-treinamentos-shopee.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'matriz-treinamentos-shopee'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. Segmentation suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://matriz-treinamentos-shopee.vercel.app/

Page Load Overview

0.70s
Total Load Time
961 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-BR
Text Length:584 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business41% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
41%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.251.127.84Google · CDNUnited States
AS15169Google LLC
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
2142.251.110.94Google · CDNUnited States
AS15169Google LLC
156--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164214E032CD2402B393153606CD0FC8A2DADAA47D20A9C51B5EF01BD0BC2EC1C89F96C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hLCH0mZBKUOeXlKMKpB7nMqO8Yi/jSKWv0VgX7Er:W0mZ1OfTnMD5Ym51X7a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1186:AAAAAgAAAEAAAAACAAAAgAAAJAAgCEAADgAARAQAAIAAIAAAAAQAAIAEAAACAAAAACAAAAAEAAAAIAQAAACAAAAABAAAAAAA

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:0f0f0f0f0f0f0f0f
Perceptual Hash:99e6966fb6964901
Difference Hash:1a1a1b1a1b1b181b
Wavelet Hash:0f0f0f0f0f0f0f0f
Color Hash:#6ce0bb

Scan History

Scan history not available

Unable to load historical scan data