Security Scan Report: whatrap.vercel.app

Redirected to:
https://whatrap.vercel.app/
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Submitted: Sep 19, 2026, 12:45:10 AMCompleted: Sep 19, 2026, 12:45:45 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is whatrap.vercel.app and was registered 6 years ago.

Submitted URL: http://whatrap.vercel.app/

Effective URL:

https://whatrap.vercel.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 60%

3
Risk Score

WhatsApp-branded page on non-official Vercel subdomain with no forms or malware. Brand mismatch and unknown age make it moderate risk; avoid entering personal data.

Risk Factors
WhatsApp branding displayed on a non-official domain (whatrap.vercel.app).
Subdomain on shared hosting platform with unknown actual creation date.
Unranked domain in Cisco Umbrella.
Medium IDS alerts for the hosting platform (vercel.app) as an abused cloud service.
Safety Factors
No credential, password, or payment forms present.
No Indicators of Compromise matches.
No JavaScript malware or YARA pattern hits.
No cross-origin form submissions or credential exfiltration detected.
ML classifier labels the content as social media network with 96% confidence, a neutral category.
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 4 to 3
Domain age information unavailable

Details

Page Title

WhatsApp

Scan Type

public

Domain Name Analysis

The domain name 'whatrap.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'whatrap'. The registrable portion 'vercel' spans 6 characters with 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://whatrap.vercel.app/

Page Load Overview

0.36s
Total Load Time
142 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
62--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC21BE53D820C82C137481699C57B01CC659F50FD6B6BCA0B6E91ADF0DF6BA0C4BB266

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hR00RCbALwZI7tmYX4SMy24DjrdI1rBVq3DC75j2a:TF4UcIpmuKy2YjrdYuzC7Rf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1137:AAAAABAAAAgABBAAAAAAIBAAAIAAIAAAAIAEAAAEEAJAGAAAAAAgCAABAAAAAAAAAAAAgEAABAAAAAAgAAAQAAggAAAAAEAg

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