Security Scan Report: www.ka-importexportmicroframework.vercel.app

Redirected to:
https://ka-importexportmicroframework.vercel.app/
Submitted: Sep 15, 2026, 12:45:05 AMCompleted: Sep 15, 2026, 12:45:29 AMpubliccompleted

This website contacted 13 IPs in 2 countries across 11 domains to perform 15 HTTP transactions. The main domain is ka-importexportmicroframework.vercel.app and was registered 17 years ago.

Submitted URL: http://www.ka-importexportmicroframework.vercel.app/

Effective URL:

https://ka-importexportmicroframework.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake OneDrive login page on an unranked vercel.app subdomain harvesting Microsoft account credentials via a forged 'encrypted document' share lure. Do not enter any credentials.

Risk Factors (6)
Brand impersonation of Microsoft OneDrive on a non-Microsoft domain
Credential capture form (email + password) rendered on a fake OneDrive portal
Deceptive lure text referencing encrypted documents and email-bound valid links
New/unattributable subdomain on a shared hosting platform (subdomain creation date unknown)
Unranked domain claiming a top-tier brand identity
Right-click blocking / anti-analysis JavaScript behaviour
Domain age information unavailable

Details

Page Title

My Files - OneDrive

Scan Type

public

Domain Name Analysis

The domain 'www.ka-importexportmicroframework.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.ka-importexportmicroframework'. The registrable portion 'vercel' spans 6 characters with 2 vowels and 4 consonants. Segmentation suggests two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.ka-importexportmicroframework.vercel.app/

Page Load Overview

4.61s
Total Load Time
349 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,007 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical67% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
67%
technology software
61%
download file sharing
48%
government public service
31%
social media network
28%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
113.107.213.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1184.24.77.55Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1513--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BF37D7994B210A54123F3781B681588397180B3D72EDE0CBDFC9598DF5EFA85DA22EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nlDGSjM74yM/uCVqtzfESSh+nTSVul4R2KWz8HVWyXEPXT98zEa1OKMpEVOu/hJW:nlDGSjM74yMG/R8SSMTxlY2p8HVWyXEN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:162051:MwqgYBCIgJAwKU55QYsFEoBiCUB5IFiDoyGtolUOAAhxJoAAw5FDYHcMjnEEEBIJCwKS0C4w0OcUQMGgCQUhAVIc8oI4BmQi

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:0018181818000000
Perceptual Hash:8c9c63674e5c391d
Difference Hash:61b3333373cdf1c1
Wavelet Hash:001d1f1f39797171
Color Hash:#7b2d86

Scan History

Scan history not available

Unable to load historical scan data