Security Scan Report: ambev-comercios.vercel.app

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Submitted: Completed: publiccompleted

AI Security Verdict

High Risk

Confidence: 74%

7
Risk Score

Site claims to be Ambev's official exhibitor program with Ambev logos and copyright, but runs on a non-official vercel.app subdomain and solicits name/WhatsApp leads — brand impersonation; avoid submitting data.

Risk Factors (4)
Brand impersonation of Ambev on a domain that is not Ambev's official domain
Deceptive hostname resembling the impersonated brand (ambev-comercios)
Unofficial free-subdomain hosting used to front a major corporate brand program
Collects leads (name + WhatsApp) under a false official-brand claim
Domain age information unavailable

Details

Page Title

Ambev · Programa de Expositores para o seu PDV

Scan Type

public

Domain Name Analysis

The domain name 'ambev-comercios.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ambev-comercios'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside 4 consonants. Tokenizing the label suggests 2 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://ambev-comercios.vercel.app/

Page Load Overview

1.49s
Total Load Time
767 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
6216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
3142.251.13.94Google · CDNUnited States
AS15169Google LLC
365.8.131.9Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
33.135.55.61Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
3157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
365.8.131.22Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
365.8.131.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3912--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C403A521B2F156B7152B86C0B38F576D21E79388C8A9074253BC11733AE7DB835A39ED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:w/mc3og6mq6DTM47gTazqQHmsXj9qMBFw46rNZf1B6mHNX9ypIXY/3rnkLq/AJ:qmc3og6mq6DTM47gTyqQHmsXj9qMBFw9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39199:QiHAgTEGUyAMUDABQLUA4jRhrMAqIMgikJBAWL4q2WAUICUQSYsCQkh9gBIAooChAIwQAEEmGhRCgCJoBKZAAIggAIBSEYRj

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:ed2993c26d691a3a
Difference Hash:6318361726388604
Wavelet Hash:98878181919fc7ef
Color Hash:#d2512d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data