ScanMalware.com

Security Scan Report: voir-document.vercel.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/5936cf83-9b20-47dc-9151-b095e107bd4dDomain and IP registration (RDAP)/api/v1/rdap/5936cf83-9b20-47dc-9151-b095e107bd4dHow often this domain was scanned/api/v1/domain/stats/voir-document.vercel.appScan history for this domain/api/v1/domain/history/voir-document.vercel.app?limit=15
This website contacted 5 IPs in 1 country across 2 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://voir-document.vercel.app/

AI Security Verdict

High Risk

Confidence: 90%

8
Risk Score

Page impersonates Microsoft OneDrive on voir-document.vercel.app using fake verification and social engineering. No legitimate Microsoft affiliation.

Risk Factors (4)
Brand impersonation of Microsoft OneDrive
Social engineering to appear as legitimate Microsoft document review
Hosted on free/shared platform commonly abused for phishing
No established domain reputation
Domain age information unavailable

Details

Page Title

OneDrive — Sign in to continue

Scan Type

public

Domain Name Analysis

Domain 'voir-document.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'voir-document'. Count 6 characters in 'vercel' with two vowels and 4 consonants. Segmentation suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Myfiles > Shared > Secure access © Connected @y Microsoft oneDrive ‘Seoure access for Microsoft 365 Business Reference Proposal and Supporting Payment Document - November 2026.pdi Authorization has...

Page Load Overview

0.13s
Total Load Time
190 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:885 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(94%)🇮🇹it(6%)

Website Classification

Primary Category

technology software82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
80%
corporate business
64%
download file sharing
40%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
115--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E94BFA8E4E311357EB3816C9BBF13547836B0136909CE117C5CA1A41FC8996A77BBF8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:qcmxme/uFcPyU9+HnIKpHswY59U/Qa/l/azTjIzaeiLHiLa8hashap42qF//yIWw:KoenTcn3pHsN59U/Qa/lCzTjIzaeiLHS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:448470:oBDAIwzKY1YhkBAHErfwQnQypFj6IgII+AcqqASgEAIwglFMRAhCAQwSEpOlAMBSkGMRKAADIUUBgEcIxMa5AiAADCRsgYXg

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:ffffefefe7e7ffff
Perceptual Hash:b399cc6633992366
Difference Hash:0004484a4c4c3008
Wavelet Hash:03030b03c3c3c3c3
Color Hash:070000001c0

Other Hashes

Crop Resistant:0004484a4c4c3008

Scan History

Scan history not available

Unable to load historical scan data