ScanMalware.com

Security Scan Report: ttkpay-nine.vercel.app

Redirected to:
https://ttkpay-nine.vercel.app/1/
Submitted: Aug 15, 2026, 2:45:26 PMCompleted: Aug 15, 2026, 2:47:52 PMpubliccompleted
Loading additional data...

Summary

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

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

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

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site impersonates TikTok without collecting credentials, posing a moderate phishing risk.

Risk Factors
Brand impersonation (TikTok) on mismatched domain
Unranked / low‑reputation domain
Unknown subdomain age on hosting platform
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

(76%)

Domain Information

The domain 'ttkpay-nine.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ttkpay-nine'. The core label 'vercel' covers 6 characters split between two vowels and 4 consonants. It segments into 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

12.90s
Total Load Time
12
HTTP Requests
8
Domains
1 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:721 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
76%
entertainment media
39%
adult content
27%
corporate business
26%
technology software
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
634.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
6216.198.79.131United States
AS16509Amazon.com, Inc.
122--

Page Statistics

12
Requests
8
Unique Domains
48.6 KB
Total Size

Detected Technologies1

Open-Graph-Protocolvwebsite
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17AE2196A63D311A0B41397B4ABBF6316316780138609C534BFDC57A8CFC56DC98BBAD8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:OGVtol1IaXFV4FRP9C16su/TPY/H4HTB4QgKY4oL+RJ/EMKTevM6N8F0Nk7M:OyaXFV4FRP9Qu2YzB4QyMJ/EMmu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32083:EZ6ASRIAWCiAqAUARk9dMDqMUMYAx+gaOWWJzPJLx8gokqBBgQDMAJakFQwFoiRB2wGAWI2AFGIEBhMlAHAVABULAKyeumBQ

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:e7e7e7efffe7e7ff
Perceptual Hash:b3336633996631cc
Difference Hash:4c4c4c481a4d4d30
Wavelet Hash:c3c3e7e7c8c0e0f0
Color Hash:#3a7851

Other Hashes

Crop Resistant:4c4c4c481a4d4d30

Scan History

Scan history not available

Unable to load historical scan data