Security Scan Report: wni16.vercel.app

Redirected to:
https://wni16.vercel.app/
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 26 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://wni16.vercel.app/

Effective URL:
https://wni16.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Fake Adobe Acrobat Reader download page on an unrelated Vercel subdomain; primary domain has a phishing report. Brand impersonation lure with no legitimate Adobe affiliation.

Risk Factors (5)
Impersonation of Adobe Acrobat Reader on a domain that is not Adobe's
Single-source threat-intelligence phishing report on the primary domain
Fabricated PDF-reader/download interface designed to prompt user action
Unknown-age subdomain on a shared hosting platform used for anonymous publishing
External Supabase/Firebase backends with no legitimate reason visible on the page
Domain age information unavailable

Details

Page Title

Files

Scan Type

public

Domain Name Analysis

The domain name 'wni16.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'wni16'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Word splitting yields 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 http://wni16.vercel.app/

Page Load Overview

3.67s
Total Load Time
299 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:266 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
48%
documentation technical
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
664.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B332D938E101E97FC5279D85A07ABF3F54CB929E82A5C91CB3ECC61403928B94DA6CC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuRn9xaxIQxjyOXOYQOxlLU6+roSMLtRCxC3qrg5FuQcgnqzbJmuY:4TuF/qIwJeYrxlLUH4LSxC3qr0ZqXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11663:dlkUTNSXAFFExJgSDKlCg42g4oE4CcSAKCQLkMIAUWKCKaCCgHDAAEV4iRgEBAAAgAUI4HZoX+yjKJgoJwGjwAwwJRFSgQea

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:00e3ff9981bfffff
Perceptual Hash:ef64405b4b591b72
Difference Hash:50061e332b710421
Wavelet Hash:00c3cf810189ffff
Color Hash:#40bf51

Scan History

Scan history not available

Unable to load historical scan data