Security Scan Report: qji11.vercel.app

Redirected to:
https://q2gt3hm03ukp.zanzanpowerbi.com/xlscdsoq-fb9qbe8vcb-hc8hvgc9pe5...
Submitted: Completed: publiccompleted
This website contacted 5 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: https://qji11.vercel.app/

Effective URL:
https://q2gt3hm03ukp.zanzanpowerbi.com/xlscdsoq-fb9qbe8vcb-hc8hvgc9pe5...
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake Adobe Acrobat Reader 'secured attachment' viewer with a DOWNLOAD ALL lure on an Adobe-unrelated domain, reached via a flagged vercel.app subdomain that redirects to zanzanpowerbi.com. Avoid.

Risk Factors (6)
Impersonation of Adobe Acrobat Reader branding on a non-Adobe domain
Fake 'secured remote attachment' document preview with a DOWNLOAD ALL lure — a common pattern for delivering credential-harvest pages or malware
Entry domain flagged for phishing (single-source, unverified)
Redirect to a separate, unrelated registrable domain
Content only served to residential/VPN clients; datacenter scanners get an error page
Hosted on an instant-publish platform subdomain whose actual creation date is unknown
Domain age information unavailable

Details

Page Title

Filesother network

Scan Type

public

Domain Name Analysis

Domain 'qji11.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'qji11'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Splitting it apart reveals two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Get September } ‘Adobe Acrobat Reader © Documents New View Documents New Edit a Documents New Download —_&@ Print Floppy Edt sign J Secured Remote Attachment x Blu —s pice 2, DOWNLOAD ALL

Page Load Overview

0.53s
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:244 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
56%
documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
564.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
275--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB32DA39E501E9AFC9279D85A036BF3E50CB919EC6A5C91CA3FCC61403928B94DA6CC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuzDn9xaxIQxjyOXOYQOxlLU6+roSMLtRCxC3qrg5FuxcgnqzbJmuY:4TuP/qIwJeYrxlLUH4LSxC3qr0gqXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11904:CMGKBQkgNHpRhOgFijBVCSAhOoiA0MCwAaiS2GCBoJgEAigQJCCjjAzGIwIJlHJMSkYGhVAAPRCDtIMyQFB1ooiTyxVgjhIA

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:N/A

Scan History

Scan history not available

Unable to load historical scan data