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Security Scan Report: ttkpay-master.vercel.app

Redirected to:
https://ttkpay-master.vercel.app/1/
Submitted: Jul 31, 2026, 1:45:11 PMCompleted: Jul 31, 2026, 1:46:21 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is ttkpay-master.vercel.app and was registered NaN years ago.

Submitted URL: http://ttkpay-master.vercel.app/

Effective URL: https://ttkpay-master.vercel.app/1/Redirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

Page impersonates TikTok without collecting credentials; treat as moderate risk and avoid providing personal data.

Risk Factors
Brand impersonation on a mismatched, unranked domain
Unknown creation date of the subdomain
Cross‑origin requests to external services (analytics, IP lookup)
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Programa de Recompensas TikTok – Ganhe até R$950

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

social media network

(87%)

Domain Information

You're looking at domain 'ttkpay-master.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'ttkpay-master'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ttkpay-master.vercel.app/

Page Load Overview

2.60s
Total Load Time
23
HTTP Requests
14
Domains
258 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:729 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
87%
entertainment media
50%
adult content
33%
corporate business
28%
technology software
26%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.198.79.67United States
AS16509Amazon.com, Inc.
7172.67.68.221Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
734.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
233--

Page Statistics

23
Requests
14
Unique Domains
326.7 KB
Total Size

Detected Technologies2

Open-Graph-Protocolvwebsite
100%
Facebook Pixel
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102E219BA63D311B0B50397B46BBF6216316780138A09C534BFDC97A88FC5ADC98776D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:/8RGVtol1IaXFV4FRP4/C16su/TPY/H4HTB4QgKY4H2+RJ/EMKdevM6N8i9Mu:kRyaXFV4FRP4/Qu2YzB4Qy4J/EMK2Ku

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33769:3ATUgTIwLQCSCDQgoQCoBf0gARGpJWiCGQGSdABoIXFCzAGDpJAKEkCuASFYBYYBkIZPSgSjDLkJOAIBYEpADTFITEcAQYv4

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:e7e7e7efefffe7e7
Perceptual Hash:b366666699269966
Difference Hash:4c4c4c4848184d4c
Wavelet Hash:c3c3c7c7e8e8e0e0
Color Hash:#d2d279

Other Hashes

Crop Resistant:4c4c4c4848184d4c

Scan History

Scan history not available

Unable to load historical scan data