Summary
This website contacted 14 IPs in 2 countries across 15 domains to perform 67 HTTP transactions. The main domain is pharmacy.msu.edu and was registered NaN years ago.
Submitted URL: https://pharmacy.msu.edu/resources/how-to-tell-cold-and-flu-symptoms-apart
The Cisco Umbrella rank of the primary domain is #46,512 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
The site is a legitimate university pharmacy resource with no security concerns.
Safety Factors
Details
Page Title
How to tell cold and flu symptoms apart - MSU Health Care Pharmacy
Scan Type
public
Language
English
Category
healthcare medical
(60%)Domain Information
Domain 'pharmacy.msu.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'pharmacy'. The registrable portion 'msu' spans 3 characters containing one vowel alongside two consonants. Breaking it apart gives one word: msu. 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 |
|---|---|---|---|
| 16 | 212.102.56.178 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 35.190.45.195 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 142.250.184.200 | United States | AS15169GOOGLE |
| 3 | 151.101.130.137 | Germany | |
| 3 | 18.244.18.32 | United States | AS16509AMAZON-02 |
| 3 | 142.251.141.100 | United States | AS15169GOOGLE |
| 3 | 185.89.210.20 | Germany | |
| 3 | 104.26.14.113 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.184.234 | United States | AS15169GOOGLE |
| 3 | 35.222.200.207 | Council Bluffs, Iowa, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 55 | 14 | - | - |
Detected Technologies4
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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