Security Scan Report: www.whatsappo-ten.vercel.app

Redirected to:
https://whatsappo-ten.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 6 domains to perform 24 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.whatsappo-ten.vercel.app/

Effective URL:
https://whatsappo-ten.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Unranked vercel.app subdomain impersonating WhatsApp with a fabricated 'VIP private group' video lure and an OpenPhish phishing report on the host. No forms found, but treat as a phishing funnel — avoid.

Risk Factors (4)
Brand impersonation of WhatsApp on a non-official domain
Primary-domain phishing report (OpenPhish) matching the scanned host
Deceptive adult-content / inflated membership lure designed to redirect users off-site
Untrusted shared-hosting subdomain with no reputation
Domain age information unavailable

Details

Page Title

WhatsApp Group Invite

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.whatsappo-ten.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.whatsappo-ten'. The second-level label 'vercel' is 6 characters long containing two vowels alongside four consonants. Word splitting yields two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

VP Pie Come © a ee! a EB Bee meee ns tee ) ~ . Join WhatsApp Group? 0 0} ‘You've been invited to join VIP Private Group. Connect with 1,024 members and watch full 9,999+ videos. Pe eee re ee es...

Page Load Overview

5.15s
Total Load Time
1005 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:912 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
83%
entertainment media
69%
adult content
58%
government public service
48%
news media journalism
43%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.251.14.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.132Google · CDNUnited States
AS15169Google LLC
2104.20.8.131Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2167.114.174.44Montreal, Quebec, Canada
AS16276OVH SAS
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2172.66.129.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2149.56.240.132Montreal, Quebec, Canada
AS16276OVH SAS
2410--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15B03509A2AF311526813E4A52BF79B073AB4D403C14ADD283FDC9388CFC69D9A95375C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:pBXkFxJ6hcsnoFh7RFHjFdMRbKHxgAs7Uvg4z:pBXkFxJ6hO77RdjXMRbKHxVs7Uvg4z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37734:kEpQSYiGGsxgmkCg4JAASESYAggcKghAwuhkgk7BDhJBBgFmQTE0lZLgpAEAG4AVicWEBIISIQCV4BIQCbWSwBaBUEAxE5SI

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:0021e3fbfbf3e3ff
Perceptual Hash:cd693256991c6673
Difference Hash:694aa2b2b2664769
Wavelet Hash:0021c1d9b9b1b1bd
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data