Security Scan Report: qji11.vercel.app

Redirected to:
https://login.joavinlinconindustrlias.com/p/6TrUbnE6QV5tvC5rG6z5DOK1e4...
Submitted: Sep 24, 2026, 1:45:09 PMCompleted: Sep 24, 2026, 1:46:00 PMpubliccompleted

This website contacted 6 IPs in 2 countries across 9 domains to perform 64 HTTP transactions. The main domain is login.joavinlinconindustrlias.com and was registered 6 years ago.

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

Effective URL:

https://login.joavinlinconindustrlias.com/p/6TrUbnE6QV5tvC5rG6z5DOK1e4...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Evilginx-class AITM page cloning Microsoft's login on login.joavinlinconindustrlias.com, with Adobe-lure content and a live password/email harvesting form. Confirmed credential phishing — do not enter credentials.

Risk Factors (5)
Cloned Microsoft login $Config self-hosted on a non-Microsoft domain (adversary-in-the-middle credential phishing)
Live credential-capture form (password + email fields) on a deceptive hostname
Impersonation of two different entities (Microsoft login, Adobe Acrobat Reader) on a domain that is neither
Bot-protection evasion: scanner received a login challenge while real users receive the phishing page
Anti-analysis: DevTools and right-click blocking combined with heavy dynamic code generation (Function() constructor)
Domain age information unavailable

Details

Page Title

Files

Scan Type

public

Domain Name Analysis

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

Screenshot

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

Page Load Overview

4.69s
Total Load Time
2.0 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 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
1464.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
10216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
10104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1085.11.167.134Amsterdam, North Holland, Netherlands
AS197170TechTies Inc.
1020.42.73.26Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
646--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4F19434D556F6BF8523CED5E832737E54CBA2CDD5A1490CB3FC826813A2C998C66C89

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuzDn9xaxIQxjyOXOYQOxlLU6+roSMLtRC7PxtJz:4TuP/qIwJeYrxlLUH4LS7PxtJz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8001:GODaBQggJBJQBOwWgjytASgjIojAkIC4ADAQ2MACsJAANClAJHWhVAhwFooNJFZMSqJER1Ah2RDBtYMQUEAkIIiQzQF4Q0OQ

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:#93821f

Scan History

Scan history not available

Unable to load historical scan data