Security Scan Report: www.wfq92.vercel.app

Redirected to:
https://wfq92.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 3 domains to perform 27 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.wfq92.vercel.app/

Effective URL:
https://wfq92.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake Adobe Acrobat Reader document-sharing page on an anonymous vercel.app subdomain, flagged by Safe Browsing for social engineering and backed by an abused Supabase endpoint. Brand-impersonation phishing lure — do not download or interact.

Risk Factors (5)
Brand impersonation of Adobe Acrobat Reader on a mismatched, non-official domain
Google Safe Browsing Social Engineering detection
Anonymised subdomain on free hosting platform with unknown creation date
Deceptive 'Secured Remote Attachment' download lure
Off-platform Supabase endpoint used as backend; IDS flags abused cloud hosting
Domain age information unavailable

Details

Page Title

Files

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.wfq92.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'www.wfq92'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

‘Get September adobe Acrobat] Rearler) @ Documents New View| | @ Documents New Edit] | & Documents New Download Secured Remote Attachment Be hy er te wee Oe == ey it % a oe ao & DOWNLOAD ALL % 7 a...

Page Load Overview

1.67s
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
9216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
274--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19632EB39E101E9BFC9279D85A0767F3F50CB929EC6A5C91CA3FCC61403928B94DA6CC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuLDnGxaxIQxjyOXOYQOxlLU6+roSMLtRCxC3qrg5FuecgnqzbJmuY:4TuneqIwJeYrxlLUH4LSxC3qr0bqXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11875:gEAW8DB9IBFgxIgHRGIBA0QxBqVwUgsiE5IdmmGUAAgLACg5QYCHsXDjLCFQkURAiQIQAAZUMoTAIuBB+wCiwAzRD4ncAAeI

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:00c3ffff81bfffff
Perceptual Hash:ff64445f4b591b20
Difference Hash:70070e3b0f791401
Wavelet Hash:00c0e7818199ffff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data