Summary
This website contacted 26 IPs in 2 countries across 8 domains to perform 30 HTTP transactions. The main domain is connect.wustl.edu and was registered NaN years ago.
Submitted URL: https://workday.wustl.edu/
Effective URL: https://connect.wustl.edu/login/wulogin.aspx?idp_ver=3&execution=e1s2&ref=https://login.wustl.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1Redirected
The Cisco Umbrella rank of the primary domain is #60,252 of the top 1 million websites
AI Security Verdict
Details
Page Title
WashU Connect
Scan Type
public
Language
English
Category
education
(90%)Domain Information
You're looking at domain 'workday.wustl.edu' on the sponsored educational top-level domain (.edu) with subdomain 'workday'. The registrable portion 'wustl' spans 5 characters split between 1 vowel and four consonants. Tokenizing the label suggests 3 words: wu, st, l. Median word length comes out to 2 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 |
|---|---|---|---|
| 13 | 128.252.114.35 | St Louis, Missouri, United States | AS2552WUSTL-ASN |
| 5 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 128.252.114.34 | St Louis, Missouri, United States | AS2552WUSTL-ASN |
| 2 | 23.185.0.3 | United States | AS54113FASTLY |
| 2 | 216.58.206.72 | United States | AS15169GOOGLE |
| 1 | 2.16.168.105 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.186.174 | United States | AS15169GOOGLE |
| 1 | 216.58.206.40 | United States | AS15169GOOGLE |
| 30 | 26 | - | - |
Detected Technologies11
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
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