Summary
This website contacted 2 IPs in 2 countries across 7 domains to perform 2 HTTP transactions. The main domain is mtholyoke.edu and was registered 35 years ago.
Submitted URL: https://www.mtholyoke.edu/directory/alum/chloe-zhao
The Cisco Umbrella rank of the primary domain is #600,667 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The page is a legitimate directory profile for Mount Holyoke College with no malicious indicators.
Safety Factors
Details
Page Title
Chloé Zhao | Mount Holyoke College
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Domain 'www.mtholyoke.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. Count 9 characters in 'mtholyoke' holding three vowels versus six consonants. Breaking it apart gives two words: mt, holyoke. The median word length lands at 4.5 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 |
|---|---|---|---|
| 21 | 52.60.213.255Aws · CLOUD | Montreal, Quebec, Canada | AS16509Amazon.com, Inc. |
| 20 | 151.101.66.216Fastly · CDN | United States | AS54113Fastly, Inc. |
| 41 | 2 | - | - |
Page Statistics
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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