Summary
This website contacted 21 IPs in 3 countries across 8 domains to perform 46 HTTP transactions. The main domain is mse.washington.edu and was registered NaN years ago.
Submitted URL: https://mse.washington.edu/facultyfinder/shuai-zhang
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate faculty profile page with no security concerns.
Safety Factors
Details
Page Title
Shuai Zhang | UW Materials Science and Engineering
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Within the sponsored educational top-level domain (.edu), 'mse.washington.edu' is registered; it also runs on subdomain 'mse'. The second-level label 'washington' is 10 characters long containing 3 vowels alongside seven consonants. Segmentation suggests one word: washington. Median word length comes out to 10 characters. 'washington' most strongly signals Icelandic. It also appears in Danish and German contexts.
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 |
|---|---|---|---|
| 6 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 54.77.110.245 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 142.250.186.110 | United States | AS15169GOOGLE |
| 2 | 104.19.147.8 | United States | AS13335CLOUDFLARENET |
| 2 | 104.19.148.8 | United States | AS13335CLOUDFLARENET |
| 2 | 128.95.66.133 | Seattle, Washington, United States | AS73WASHINGTON-AS |
| 2 | 34.168.51.100 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 34.82.219.4 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 142.250.184.200 | United States | AS15169GOOGLE |
| 46 | 21 | - | - |
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
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