Security Scan Report: www.wfq92.vercel.app

Redirected to:
https://login.joavinlinconindustrlias.com/p/utU30nlITXhYohIGaWfbR6g9Ek...
Submitted: Sep 25, 2026, 1:45:12 PMCompleted: Sep 25, 2026, 1:46:10 PMpubliccompleted

This website contacted 7 IPs in 2 countries across 5 domains to perform 29 HTTP transactions. The main domain is login.joavinlinconindustrlias.com and was registered 6 years ago.

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

Effective URL:

https://login.joavinlinconindustrlias.com/p/utU30nlITXhYohIGaWfbR6g9Ek...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake Adobe Acrobat Reader download lure on a vercel.app subdomain redirecting to a deceptive host; phishing Indicators of Compromise and Adobe brand impersonation indicate malware distribution.

Risk Factors (5)
Brand impersonation of Adobe Acrobat Reader on a non-Adobe domain
Fake/pretextual document-viewer download page ('DOWNLOAD ALL') consistent with malware distribution
Cross-domain redirect chain to deceptive host joavinlinconindustrlias.com
Phishing Indicators of Compromise matched against the entry domain wfq92.vercel.app
High-severity Spamhaus DROP IDS alert and actor-abused cloud hosting service signals
Domain age information unavailable

Details

Page Title

Filessecondary capture

Scan Type

public

Domain Name Analysis

The domain name 'www.wfq92.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.wfq92'. The core label 'vercel' covers 6 characters containing 2 vowels alongside 4 consonants. It segments into 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wfq92.vercel.app/

Page Load Overview

1.53s
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:276 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
62%
documentation technical
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
485.11.167.134Amsterdam, North Holland, Netherlands
AS197170TechTies Inc.
297--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18632EB39E101E97FC9279D85A0767F3F50CB919EC6A5C91CA3FCC61403928B94DA6CC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuLDn9xaxIQxjyOXOYQOxlLU6+roSMLtRCxC3qrg5FuecgnqzbJmuY:4Tun/qIwJeYrxlLUH4LSxC3qr0bqXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11822:UGYA4JWAQTACMpBofDD0wYT0hFAw8DAAQlwI0g4AnQhGFGGqhICDQ0NCCQnAiBJjiQwLFiAkJqCAANCiAYpgJGQA0cJMeIMJ

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:00e3ff8181bfffff
Perceptual Hash:ff60405f4b591b62
Difference Hash:50060e2b2b710421
Wavelet Hash:00c3c7818189ffff
Color Hash:#c587ac

Scan History

Scan history not available

Unable to load historical scan data