Security Scan Report: qji11.vercel.app

Redirected to:
https://vpqzxd4ts.haoboaiyundong.com/ddr5vkr4-clwbcdhdgq-fqufz162jo29k...
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 1 domain to perform 1 HTTP transaction. The main domain is vercel.app and was registered 6 years ago.

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

Effective URL:
https://vpqzxd4ts.haoboaiyundong.com/ddr5vkr4-clwbcdhdgq-fqufz162jo29k...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake Adobe Acrobat 'secured attachment' page on an unrelated, randomly-named host reached via a vercel.app redirect; flagged by Google Safe Browsing for social engineering and by threat-intel as phishing. Do not download or interact.

Risk Factors (6)
Brand impersonation of Adobe Acrobat Reader on a non-Adobe, randomly-generated hostname
Cross-domain redirect from a free hosting subdomain to an unrelated registrable domain
Google Safe Browsing Social Engineering detection
Single-source phishing threat-intel report on the entry domain
Obfuscated/randomised path and hostname characteristic of phishing lures
Scanner-vs-client content mismatch (datacenter IP got a 502 block page while residential client saw the fake document page)
Domain age information unavailable

Details

Page Title

Filesother network

Scan Type

public

Domain Name Analysis

You're looking at domain 'qji11.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'qji11'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Edit sign JAVeMg } Get September ‘Adobe Acrobat Reader © Documents New View @ Documents New Edit 4 Documents New Download Secured Remote Attachment Loading... Loading... 2, DOWNLOAD ALL Loadi...

Page Load Overview

0.80s
Total Load Time
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:201 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
62%
download file sharing
38%
news media journalism
31%
education learning
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
085.11.167.134Amsterdam, North Holland, Netherlands
AS197170TechTies Inc.
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BC22FA39D405EE6FC9239E9990797E3A54CED1EEC3A5891CA3ECC61803934BA4DE1CC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuzDn9xaxIQxjyOXOYQOxlLU6+roSMLtRCPg5FuxcgnqzbJmuY:4TuP/qIwJeYrxlLUH4LSP0gqXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10592:CMGKBwkgNnpRBMgEiDBFCSChOoyA0MCwACgS0EERkJgMIikAJCCjzAxGIgIJlHZMSmYGhUAAvRCDtIcyQFB1ooiSyRFgjhIA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data