Security Scan Report: black-friday-previa.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 2 domains to perform 41 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://black-friday-previa.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Suspicious Conta Azul-branded Black Friday lead-capture page on an unofficial Vercel subdomain. It requests CNPJ and WhatsApp contact data but has no password or payment fields; treat as unverified brand impersonation.

Risk Factors (5)
Uses Conta Azul branding and Black Friday promotion on a non-official domain
Requests personal and business contact data (CNPJ, WhatsApp number) on an unverified host
Funnels users into an off-site WhatsApp group with a promised offer
Unranked shared-hosting subdomain with unknown actual creation date
Generic IDS alerts for abused cloud hosting on vercel.app
Safety Factors (4)
No password, payment, or disguised-password fields; no credential harvesting detected
No Indicators of Compromise, hunting rule malware, JavaScript exfiltration, or known malicious kit
Form action is same-origin (#entrar), not a cross-origin credential submission
Page includes product explanation, FAQ, privacy-policy reference, and states there is no direct purchase on the site
Domain age information unavailable

Details

Page Title

Black Friday Conta Azul 2026: descontos no sistema de gestão

Scan Type

public

Domain Name Analysis

The domain name 'black-friday-previa.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'black-friday-previa'. The second-level label 'vercel' is 6 characters long with 2 vowels and four 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

e 16:00, p " € gor Black Friday Conta Azul \ | 2 Porto, vê este gg Caf Friday Conta Azul, N” Es 2 | | | ray 26/11 as 16h Coma Azul Combinado: a oferta chega aqui na quinta, 2611, às 16h. Deixe...

Page Load Overview

1.05s
Total Load Time
704 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:6,142 chars
Detector Agreement:100%

All Detected Languages

🇵🇹pt(95%)🇪🇸es(4%)🇪🇸ca(1%)🇺🇸en(1%)

Website Classification

Primary Category

finance banking100% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
100%
corporate business
96%
technology software
68%
government public service
54%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3564.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
413--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10053F9366190213A70239184E7E5778A3066E203CD0A4FCDF7AC55699FCBDEA6E2358D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:+ZV5MD2PEpfwQXsmnETelrIirD/2DMVKgwFD8hmtzJjnxLaf9By8CkBQlSLJ2n+3:+ZV5MwE+QXZ0jftzEMn+bJ27+Ur0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61003:kAibMQbiQjClgKEKG+aADIQ2JKggGnSIIDJkDEAQQSgAYMxwyoYRIIStOBQRZwAWZBErAC+gFABRc0EM7IRI7gVCAzaIARkI

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:387c7c7c783c0000
Perceptual Hash:cac5379b6c0c8b65
Difference Hash:f1d1e1f1f1f9e145
Wavelet Hash:387c797d7d7d0100
Color Hash:300010001c0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data