Security Scan Report: ka-importexportmicroframework.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 15 IPs in 2 countries across 10 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://ka-importexportmicroframework.vercel.app/#RFNhbXVzZW5rb3ZAaW50ZWdyYWwuYnk=

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed phishing: a fake Microsoft OneDrive login on a vercel.app subdomain that harvests email/password, tracks the victim via a base64-encoded email token, and can exfiltrate data through a Telegram bot.

Risk Factors (7)
Brand impersonation of Microsoft OneDrive on a non-Microsoft, unranked hosting subdomain
Credential-harvesting login form (password + email fields) styled as a corporate file-sharing portal
Base64-encoded victim email address embedded in the URL fragment
Telegram bot token in inline script enabling exfiltration of submitted data
Google Safe Browsing social-engineering detection
Anti-analysis: right-click/context menu blocked
Deceptive lures ('This link is valid only for the intended email address', 'encrypted document') used to pressure victims into signing in
Domain age information unavailable

Details

Page Title

My Files - OneDrive

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'ka-importexportmicroframework.vercel.app' is registered and includes subdomain 'ka-importexportmicroframework'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Samm Files Directory Ea My Files ‘D Recent Buploady sync #Aulomatew Q Search Allfiles v Shared Files 2, Shared ‘Shared Libaries Sites help you work on projets with your (eam and share informat...

Page Load Overview

4.93s
Total Load Time
350 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,031 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
46%
government public service
31%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
02.19.198.11Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
013.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
013.107.213.45Azure · CLOUDUnited States
AS8075Microsoft Corporation
0151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.250.154.95Google · CDNUnited States
AS15169Google LLC
0104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1315--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143F38D7995B210A54123F3781B681588397180B3D72EDE0CBDFC9598DF5EFA85CA22EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TlDGSjM74yr/uCVqtzfESSh+nTSVul4R2KWzQHVWyXEPXT98zEa1OKMpEVOu/hJ/:TlDGSjM74yrG/R8SSMTxlY2pQHVWyXEm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165435:FhgXYoQbagCgiAiAPUsJoSRxATIyYQygqMEEDKmUAI0JA3CBCgGCUgAgDkC1QGGEBc+BoFCxhK0SBIQYd8UQQAkBAEuWElJJ

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:001f1f1f1f0f0f0f
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data