Summary
This website contacted 28 IPs in 3 countries across 26 domains to perform 106 HTTP transactions. The main domain is news.uams.edu and was registered NaN years ago.
Submitted URL: https://news.uams.edu/2025/12/19/monica-smith-receives-2025-bonny-hope-wallace-award/
The Cisco Umbrella rank of the primary domain is #221,160 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and appears legitimate.
Safety Factors
Details
Page Title
Monica Smith Receives 2025 Bonny Hope Wallace Award | UAMS News
Scan Type
public
Language
English
Category
education
(90%)Domain Information
The domain name 'news.uams.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'news'. Its registrable label 'uams' stretches across 4 characters containing two vowels alongside two consonants. Splitting it apart reveals two words: u, ams. The median word length lands at 2 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 |
|---|---|---|---|
| 25 | 37.27.135.61 | Helsinki, Uusimaa, Finland | AS24940Hetzner Online GmbH |
| 3 | 216.58.209.206 | United States | AS15169GOOGLE |
| 3 | 216.58.210.130 | United States | AS15169GOOGLE |
| 3 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 3 | 35.190.93.146 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 216.58.209.164 | United States | AS15169GOOGLE |
| 3 | 216.58.210.168 | United States | AS15169GOOGLE |
| 3 | 216.58.209.162 | United States | AS15169GOOGLE |
| 3 | 34.98.105.146 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 199.232.173.140 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 106 | 28 | - | - |
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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