Summary
This website contacted 133 IPs in 5 countries across 43 domains to perform 224 HTTP transactions. The main domain is algonquincollege.com and was registered NaN years ago.
Submitted URL: https://www.algonquincollege.com/workday/
The Cisco Umbrella rank of the primary domain is #905,672 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The page appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Workday Support - Workday Support
Scan Type
public
Language
English
Category
other
(59%)Domain Information
Within the commercial generic top-level domain (.com), 'www.algonquincollege.com' is registered; it also runs on subdomain 'www'. The core label 'algonquincollege' covers 16 characters holding 7 vowels versus 9 consonants. It segments into two words: algonquin, college. Average segment length settles at 8 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 |
|---|---|---|---|
| 92 | 74.125.29.94 | United States | AS15169GOOGLE |
| 54 | 18.66.147.27 | United States | AS16509AMAZON-02 |
| 21 | 142.251.140.162 | United States | AS15169GOOGLE |
| 21 | 142.250.184.195 | United States | AS15169GOOGLE |
| 20 | 142.250.185.100 | United States | AS15169GOOGLE |
| 17 | 142.250.185.168 | United States | AS15169GOOGLE |
| 9 | 23.207.210.145 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 54.86.119.60 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 6 | 216.239.34.36 | United States | AS15169GOOGLE |
| 6 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 224 | 133 | - | - |
Detected Technologies8
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
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