Security Scan Report: ambev-comercios.vercel.app

Site favicon
Submitted: Completed: publiccompleted

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Page claims to be the official Ambev exhibitor program and uses Ambev's brands, but runs on an unofficial vercel.app subdomain and collects name and WhatsApp data. Brand impersonation — avoid.

Risk Factors (4)
Impersonation of the Ambev brand on a hosting-platform subdomain that is not Ambev's official domain
Claims of being the 'official' exhibitor program despite operating outside ambev.com.br
Collects personal contact data (name and WhatsApp) under a false official pretense
Unranked domain with no established reputation
Domain age information unavailable

Details

Page Title

Ambev · Programa de Expositores para o seu PDV

Scan Type

public

Domain Name Analysis

The domain 'ambev-comercios.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'ambev-comercios'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Breaking it apart gives 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://ambev-comercios.vercel.app/

Page Load Overview

0.80s
Total Load Time
753 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:2,888 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical100% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
100%
corporate business
100%
blog personal website
99%
e-commerce shopping
99%
adult content
99%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
365.8.131.9Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
33.17.85.55Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
3157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
365.8.131.42Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
365.8.131.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3811--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18303B621B2F156B7152B86C4B38F976D11E79388C8A9074253BC11733AE7DB835A38ED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:wqWmc3og6mq6DTM47gTazqQHmsXjOqbBww46rNZf1B6mHNX9ypIXY/3rnkLq/AJ:HWmc3og6mq6DTM47gTyqQHmsXjOqbBwk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39193:JWmRwH5GIspXHVAsAiCETWhCWIIkpcxdCOgBSBgOfIiR2FjggATCQwiFFPBMEIE0BosohCkJeEjIIgH9hEWRpwgwWARAEBpS

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:f9cf83d1939fffff
Perceptual Hash:ad3993c26d691a3a
Difference Hash:6318361726388604
Wavelet Hash:98878181919fc7ef
Color Hash:#1f1f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data