Security Scan Report: whats-app-clone-nine.vercel.app

Redirected to:
https://whats-app-clone-nine.vercel.app/signup
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Submitted: Jul 19, 2026, 12:45:29 AMCompleted: Jul 19, 2026, 12:48:26 AMpubliccompleted
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Summary

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

Submitted URL: https://whats-app-clone-nine.vercel.app/

Effective URL: https://whats-app-clone-nine.vercel.app/signupRedirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

The site mimics WhatsApp branding on an unranked Vercel subdomain with no forms, indicating moderate risk of brand impersonation.

Risk Factors
Brand impersonation without legitimate brand domain
Unknown subdomain creation date
Unranked domain reputation
Domain age information unavailable

Details

Page Title

WhatsApp

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(96%)

Domain Information

The domain 'whats-app-clone-nine.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'whats-app-clone-nine'. The core label 'vercel' covers 6 characters with 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://whats-app-clone-nine.vercel.app/

Page Load Overview

3.01s
Total Load Time
8
HTTP Requests
3
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:55 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network96% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
96%
technology software
80%
documentation technical
62%
adult content
44%
news media journalism
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
864.29.17.195United States
AS16509Amazon.com, Inc.
81--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149D2D7F987A510BC7CE7CFA9AB220DA4F39EA874B125C568572DC59827C76CDC50BC01

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:a0FgFtiDGI8gC0H4Ba8UA8/Gr8+FAFM/FrvFpr:b+biDaXg8Q+Cu/Vv3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30065:ElEGCUBIJIgMCg1HTUlJgYgIOs8iMBU0APQMEQzAFOgQk4RhOKmBKrFKAPvFGqVCwAJAaAHsFDQiGBIBEAgQGBEKiJoW0EgR

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data