Summary
This website contacted 194 IPs in 7 countries across 59 domains to perform 166 HTTP transactions. The main domain is dallascollege.edu and was registered NaN years ago.
Submitted URL: https://www.dallascollege.edu/students/workday/
The Cisco Umbrella rank of the primary domain is #152,660 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Discover Workday at Dallas College – Dallas College
Scan Type
public
Language
English
Category
education
(45%)Domain Information
Domain 'www.dallascollege.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. The second-level label 'dallascollege' is 13 characters long holding five vowels versus eight consonants. Word splitting yields two words: dallas, college. The median word length lands at 6.5 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 |
|---|---|---|---|
| 12 | 108.138.7.128 | United States | AS16509AMAZON-02 |
| 10 | 65.8.131.103 | United States | AS16509AMAZON-02 |
| 9 | 142.250.184.227 | United States | AS15169GOOGLE |
| 7 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 74.121.140.211 | Reston, Virginia, United States | AS30419PAEDAE-INC |
| 5 | 52.202.171.250 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 3.120.81.6 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 216.58.206.72 | United States | AS15169GOOGLE |
| 5 | 44.195.72.180 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 166 | 194 | - | - |
Detected Technologies7
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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