Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: https://eycanvas.ey.net
Effective URL: https://login.microsoftonline.com/eygs.onmicrosoft.com/oauth2/v2.0/authorize?client_id=1a389726-e60d-4801-879d-f09198de66be&scope=openid%20profile%20email%20offline_access&redirect_uri=https%3A%2F%2Feycanvas.ey.net%2F&client-request-id=019ece44-b579-7760-b7f5-da1cf6b2edc9&response_mode=fragment&response_type=code&x-client-SKU=msal.js.browser&x-client-VER=3.30.0&client_info=1&code_challenge=q7a1SwAjBqZjy0tyMqDrOdjGdJ5_lRrodd7I1kPF96U&code_challenge_method=S256&nonce=019ece44-b579-7cbc-ae71-be3787497f5d&state=eyJpZCI6IjAxOWVjZTQ0LWI1NzktNzBhYS1hZTUwLTVkZTQyMmRiOWZiZiIsIm1ldGEiOnsiaW50ZXJhY3Rpb25UeXBlIjoicmVkaXJlY3QifX0%3D&sso_reload=trueRedirected
The Cisco Umbrella rank of the primary domain is #119,082 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 80%
The page hosts a credential login form that posts to Microsoft; flagged as high‑risk phishing despite legitimate SSO endpoint.
Risk Factors
Safety Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
You're looking at domain 'eycanvas.ey.net' on the network infrastructure generic top-level domain (.net); it also runs on subdomain 'eycanvas'. The second-level label 'ey' is 2 characters long split between one vowel and 1 consonant. Splitting it apart reveals one word: ey. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 32 | 51.124.48.117 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 32 | 1 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data