Security Scan Report: avptk-checkout.vercel.app

Redirected to:
https://avptk-checkout.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 16 IPs in 3 countries across 8 domains to perform 27 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://avptk-checkout.vercel.app/

Effective URL:
https://avptk-checkout.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake 'TikTok Rewards Program 2026' on a vercel.app subdomain impersonating TikTok, using fake counters, scarcity and cash-payout promises to lure users; no legitimate TikTok affiliation.

Risk Factors (5)
Brand impersonation of TikTok on a non-TikTok domain
Fake official-verification claim ('Programa Verificado Oficial')
Fabricated live participant counters and scarcity messaging
Instant-money reward promise used as a click funnel
Free instant-subdomain hosting with no attributable domain age
Domain age information unavailable

Details

Page Title

TikTok

Scan Type

public

Domain Name Analysis

The domain name 'avptk-checkout.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'avptk-checkout'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside four 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

ig) PROGRAMA DE RECOMPENSAS TIKTOK 2026 ot TikTok © Programa verificade oficial Ganhe dinheiro respondendo perguntas! © TikTok esta a premiar utilizadores selecionados com recompensas em dinheiro...

Page Load Overview

1.73s
Total Load Time
404 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-PT
Text Length:725 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
88%
entertainment media
63%
technology software
28%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
120.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1150.171.109.100Azure · CLOUDUnited States
AS8075Microsoft Corporation
123.10.249.58Akamai · CDNGlattbrugg, Zurich, Switzerland
AS20940Akamai International B.V.
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
151.8.64.151Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
123.50.131.221Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.251.127.95Google · CDNUnited States
AS15169Google LLC
2716--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155F4A249ADF71132E7A3B0B94AAFCC49723598075649DC35398C82A42F8453C86F7BF9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:bp0KnVTq79Q01U24QL0YFvUuoIAGaa2oMvO:bOITq79Q01U24QL0YFv0vO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:777713:QMQIDQgRbAAAIIcCkA4uAQDmyggiDaFAiAypDwQpTZSAAQVkBQohDCoYAhQaEGpBDIKTwoIJDlCIEhoQILggICgKASiJfICS

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:c7e7e7e7efefe7ff
Perceptual Hash:f332663399339926
Difference Hash:4c4c484848484d0c
Wavelet Hash:c3e7e4e4ece0e0b0
Color Hash:N/A

Other Hashes

Crop Resistant:4c4c484848484d0c

Scan History

Scan history not available

Unable to load historical scan data