Security Scan Report: www.tqi21.vercel.app

Redirected to:
https://login.iiwosbuonindussutarrial.com/p/3IHiwI4jCe_iJBzXA3pWS1CkKU...
Submitted: Sep 29, 2026, 12:45:39 AMCompleted: Sep 29, 2026, 12:47:37 AMpubliccompleted

This website contacted 8 IPs in 2 countries across 10 domains to perform 66 HTTP transactions. The main domain is login.iiwosbuonindussutarrial.com and was registered 6 years ago.

Submitted URL: https://www.tqi21.vercel.app/

Effective URL:

https://login.iiwosbuonindussutarrial.com/p/3IHiwI4jCe_iJBzXA3pWS1CkKU...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Evilginx-class adversary-in-the-middle phishing: a cloned Microsoft login ($Config markers) is served from non-Microsoft login.iiwosbuonindussutarrial.com behind a Vercel redirect and Adobe Acrobat attachment lure, harvesting credentials/MFA tokens. Do not enter credentials.

Risk Factors (7)
Microsoft-branded credential page hosted on an unrelated, unranked domain (login.iiwosbuonindussutarrial.com)
Password-field login form on a non-Microsoft host — consistent with credential + MFA session-token theft
OpenPhish phishing reports against tqi21.vercel.app
Anti-analysis/anti-debugging JavaScript (DevTools and right-click blocking)
Lure content combining Adobe Acrobat/"Secured Remote Attachment" branding with a "DOWNLOAD ALL" call to action
Network IDS: HIGH ET DROP Spamhaus listed traffic; MEDIUM abused-cloud-hosting (vercel.app) and Supabase alerts
Free shared hosting pivot (vercel.app) to attacker-controlled apex domain
Domain age information unavailable

Details

Page Title

Files

Scan Type

public

Domain Name Analysis

The domain 'www.tqi21.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.tqi21'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus 4 consonants. It segments into two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.tqi21.vercel.app/

Page Load Overview

12.29s
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: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
1064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
864.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
885.11.167.134Amsterdam, North Holland, Netherlands
AS197170TechTies Inc.
84.150.223.99Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
668--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F432EA38E101E9BFC5279D95A076BF3F54CB929EC2A5C91CB3ECC61403928B94DA6CC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuuYn9xaxIQxjyOXOYQOxlLU6+roSMLtRCxC3qrg5FuhcgnqzbJmuY:4Tul/qIwJeYrxlLUH4LSxC3qr0oqXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11663:dlkVTNSXAFFExJgSDKlCg42gooEoAcSAKCQLkMIAUWKCKaCCgHDAAEV4iRgEBAAAgAUI4HdoX+yjKJgoJwGjwBwwJRFSgQea

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:#ac7a53

Scan History

Scan history not available

Unable to load historical scan data