Summary
This website contacted 4 IPs in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is vt.edu and was registered NaN years ago.
Submitted URL: https://canvas.vt.edu
Effective URL: https://www.vt.edu/acceptable-use.htmlRedirected
The Cisco Umbrella rank of the primary domain is #56,505 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate university page with no security concerns.
Safety Factors
Details
Page Title
Login | Virginia Tech
Scan Type
public
Language
English
Category
education learning
(62%)Domain Information
Domain 'canvas.vt.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'canvas'. Its registrable label 'vt' stretches across 2 characters split between 0 vowels and 2 consonants. Segmentation suggests 1 word: vt. 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 |
|---|---|---|---|
| 7 | 44.212.128.65 | United States | |
| 6 | 13.32.99.6 | United States | |
| 6 | 192.178.170.97 | United States | AS15169Google LLC |
| 6 | 100.29.243.155 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 25 | 4 | - | - |
Detected Technologies17
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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