Security Scan Report: canpoly.vercel.app

Redirected to:
https://canpoly.vercel.app/
Submitted: Aug 28, 2026, 12:45:02 AMCompleted: Aug 28, 2026, 12:46:09 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is canpoly.vercel.app and was registered 6 years ago.

Submitted URL: http://canpoly.vercel.app/

Effective URL:

https://canpoly.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Page impersonates Microsoft on an unranked Vercel subdomain, indicating a high‑risk phishing attempt.

Risk Factors (3)
Brand impersonation of Microsoft on an unranked subdomain
Hosted on a generic hosting platform subdomain (potentially newly created)
Absence of legitimate brand verification or disclaimer
Domain age information unavailable

Details

Page Title

Microsoft User shared “Business Project Proposal and Payment Supporting Document - Sept. 2026.PDF” with you

Scan Type

public

Domain Name Analysis

Domain 'canpoly.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'canpoly'. Count 6 characters in 'vercel' split between two vowels and 4 consonants. Word splitting yields two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://canpoly.vercel.app/

Page Load Overview

0.27s
Total Load Time
4 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:875 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
80%
documentation technical
72%
corporate business
48%
finance banking
36%
download file sharing
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67United States
AS16509Amazon.com, Inc.
1216.198.79.67United States
AS16509Amazon.com, Inc.
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136121773F1842534A16B89A6B939B34E30B0C71FE8231614DD996570EDD6EF3CA36748

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6dowS4xnbUx5wyQR1/yMnVHVjnw+jpN3yyDyApnQSd7yZ:kownxnwO17XjnwepdyyDyApnQSd7yZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9788:gJVwBLiZBBgOEwAAQwJ41DAGDUQIAZJXBBLQSSUyQAECmDLlN5JSAfzBohXIIMMEEo4KHBCRiAAraQBwkwo0FU4CwEYEMDzg

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:00ffefffffffffff
Perceptual Hash:991971664e4e6766
Difference Hash:10585828280c0000
Wavelet Hash:002c2f3f3f030f0f
Color Hash:#3a7844

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data