Security Scan Report: www.qji11.vercel.app

Redirected to:
https://8ns8mt0ynl.tosyretwohwouttrion.com/yjcsyfeg-hu7eearram-pbkwdwx...
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 6 domains to perform 41 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.qji11.vercel.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

Fake Adobe Acrobat Reader 'Secured Remote Attachment' page on a throwaway redirected domain, flagged by Safe Browsing for social engineering; a download lure, not a real document service. Avoid.

Risk Factors (6)
Google Safe Browsing Social Engineering detection
Impersonation of Adobe Acrobat Reader on a non-Adobe, throwaway domain
Redirect chain to a randomised look-alike domain with deceptive long path
Fake 'Secured Remote Attachment' download lure aimed at getting a file executed
DevTools and context-menu blocking used to obstruct inspection
Domain qji11.vercel.app reported as phishing (PhishDestroy, single-source, unverified)
Domain age information unavailable

Details

Page Title

Files

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.qji11.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'www.qji11'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.qji11.vercel.app/

Page Load Overview

10.10s
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: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
11216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
664.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
685.11.167.134Amsterdam, North Holland, Netherlands
AS197170TechTies Inc.
6104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
416--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A932DA38E501E96FC5279D85A076BF3E50CB919EC2A5C91CA3FCC61403928B94DA6CC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuzYn9xaxIQxjyOXOYQOxlLU6+roSMLtRCxC3qrg5FuxcgnqzbJmuY:4Tu0/qIwJeYrxlLUH4LSxC3qr0gqXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11822:UGYA4JWAQTACMpBseDD0wZD0hFAw8DAAQlwI0gwAnQhGFGmqhICDQ0NCCQnIiBJnCQwLFiAkJqCAANCiAYpgJGQA2cBMeIIh

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:#bf409f

Scan History

Scan history not available

Unable to load historical scan data