Summary
This website contacted 13 IPs in 3 countries across 5 domains to perform 18 HTTP transactions. The main domain is vcuhealth.org and was registered NaN years ago.
Submitted URL: https://www.vcuhealth.org/news/bugged-by-the-winter-surge-of-the-stomach-bug/
The Cisco Umbrella rank of the primary domain is #280,501 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
Commitment to Privacy - Virginia Commonwealth University
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
The domain name 'www.vcuhealth.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. The core label 'vcuhealth' covers 9 characters split between three vowels and six consonants. Tokenizing the label suggests two words: vcu, health. Median word length comes out to 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 |
|---|---|---|---|
| 1 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 1 | 172.217.18.3 | United States | AS15169GOOGLE |
| 1 | 172.217.208.95 | United States | AS15169GOOGLE |
| 1 | 128.172.22.56 | Richmond, Virginia, United States | AS16643VCU-ASN1 |
| 1 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 1 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 1 | 2a00:1450:4001:80e::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 1 | 2606:4700::6811:180e | United States | AS13335CLOUDFLARENET |
| 1 | 2606:4700:3036::6815:1b98 | United States | AS13335CLOUDFLARENET |
| 18 | 13 | - | - |
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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