Security Scan Report: qji11.vercel.app

Redirected to:
https://8ns8mt0ynl.tosyretwohwouttrion.com/yjcsyfeg-hu7eearram-pbkwdwx...
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 40 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://qji11.vercel.app/

Effective URL:
https://8ns8mt0ynl.tosyretwohwouttrion.com/yjcsyfeg-hu7eearram-pbkwdwx...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake Adobe Acrobat Reader file-sharing page on a randomized non-Adobe domain that redirects across hosts and pushes a "DOWNLOAD ALL" lure; Safe Browsing flags Social Engineering and the page actively blocks analysis. Do not download.

Risk Factors (6)
Impersonation of Adobe Acrobat Reader on a non-Adobe domain
Google Safe Browsing Social Engineering threat
Cross-domain redirect to a randomized hostname/path with no apparent relation to a real file service
Fake "secured remote attachment" download prompt soliciting user action
Anti-analysis JavaScript (DevTools and right-click blocking)
Entry subdomain on a shared hosting platform flagged for phishing, with unknown actual age
Domain age information unavailable

Details

Page Title

Files

Scan Type

public

Domain Name Analysis

The domain 'qji11.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'qji11'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus four consonants. Tokenizing the label suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qji11.vercel.app/

Page Load Overview

0.34s
Total Load Time
1.1 MB
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 software63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
63%
documentation technical
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
585.11.167.134Amsterdam, North Holland, Netherlands
AS197170TechTies Inc.
5104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
407--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13832CA38E405EA6FD9279D9560367F3E54CED29EC6A1891CB3FCC61403928B98DA6CC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuzDn9xaxIQxjyOXOYQOxlLU6+roSMLtRC7PxtJg5FuxcgnqzbJmuk:4TuP/qIwJeYrxlLUH4LS7PxtJ0gqXk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11328:CMCfBUgkJBJQBOhXgjQtASAnIsmAENiwACBw0EAAsZAAtC0EJjWxFAhAkgoJNFJMSiNkpWAoWRCBPoOQWVAkIIiQzQFpUkIA

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:ef64405b4b591b72
Difference Hash:70060e232b710421
Wavelet Hash:00c3c7818189ffff
Color Hash:#a5c587

Scan History

Scan history not available

Unable to load historical scan data