Summary
This website contacted 152 IPs in 8 countries across 50 domains to perform 182 HTTP transactions. The main domain is rmu.edu.
Submitted URL: https://www.rmu.edu/about/history/robert-morris
The Cisco Umbrella rank of the primary domain is #870,959 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
Who was Robert Morris? | Robert Morris University
Scan Type
public
Language
English
Category
education learning
(70%)Domain Information
Domain 'www.rmu.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'www'. The second-level label 'rmu' is 3 characters long with one vowel and 2 consonants. Splitting it apart reveals two words: r, mu. Average segment length settles at 1.5 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 |
|---|---|---|---|
| 84 | 23.185.0.1 | United States | AS54113FASTLY |
| 7 | 2.18.79.34 | Vienna, Vienna, Austria | AS20940Akamai International B.V. |
| 5 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 34.141.240.75 | Groningen, Groningen, Netherlands | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 142.250.185.104 | United States | AS15169GOOGLE |
| 3 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 172.217.18.14 | United States | AS15169GOOGLE |
| 2 | 18.245.46.118 | United States | AS16509AMAZON-02 |
| 2 | 35.204.89.238 | Groningen, Groningen, Netherlands | AS396982GOOGLE-CLOUD-PLATFORM |
| 182 | 152 | - | - |
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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