Security Scan Report: koa-chi.vercel.app

Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 6 domains to perform 7 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://koa-chi.vercel.app/taxpayeeemakeeee.html

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake Microsoft 'security verification' page on a vercel.app subdomain harvesting email/password via a spoofed login form with phishing-kit error and IP-geolocation messages. Do not enter credentials.

Risk Factors (6)
Impersonation of Microsoft's brand on a non-Microsoft domain (vercel.app)
Credential-harvesting login form (email + password)
Fake verification/error messaging designed to elicit password re-entry
Unranked domain in Cisco Umbrella top 1M despite claiming a major brand
Free/shared hosting subdomain with unknown creation date, inconsistent with Microsoft infrastructure
External IP-geolocation lookup script contacting ipapi.co
Domain age information unavailable

Details

Page Title

Security verification - Microsoft account

Scan Type

public

Domain Name Analysis

You're looking at domain 'koa-chi.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'koa-chi'. The second-level label 'vercel' is 6 characters long containing two vowels alongside four consonants. Word splitting yields 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://koa-chi.vercel.app/taxpayeeemakeeee.html

Page Load Overview

0.55s
Total Load Time
54 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:522 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.13.95Google · CDNUnited States
AS15169Google LLC
02.21.20.135Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
035.190.3.23Google · CDNKansas City, Missouri, United States
AS396982Google LLC
023.59.18.102Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
0104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.110.95Google · CDNUnited States
AS15169Google LLC
0172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
023.52.181.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
710--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD62A43D69693A017423D05C77BAD3093677B103D906C62379DD4688CF8AD9EBAB239C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:YiBIG3tgN5U1TOX8BjJ/z2SXd61w2HU6yHSMVVtyJ3bT/+ToJJRF6x/AjqPIjiqS:9I+ycybTMoJJCx/A+wj1tH6g2t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15629:IQS0EVIABNNDEKPsrEIhhCQpDRkUATRJAZAQAgaXA0LAUPJgBy1OKgxQJBEAVJUQ8AAImSqiREMIaCWkAgglkSJGURiFSw4I

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:fffffff7e7fefffe
Perceptual Hash:d5aa55aa55aa54aa
Difference Hash:0000000808000100
Wavelet Hash:f0f0f0e0273f0f0e
Color Hash:#2d8649

Other Hashes

Crop Resistant:0000000808000100

Scan History

Scan history not available

Unable to load historical scan data