Summary
This website contacted 38 IPs in 4 countries across 33 domains to perform 100 HTTP transactions. The main domain is lynx.wnba.com and was registered NaN years ago.
Submitted URL: https://lynx.wnba.com/news/napheesa-collier-named-to-all-wnba-first-team
The Cisco Umbrella rank of the primary domain is #161,482 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article from the official Minnesota Lynx site.
Safety Factors
Details
Page Title
Napheesa Collier Named to All-WNBA First Team
Scan Type
public
Language
English
Category
entertainment media
(82%)Domain Information
Domain 'lynx.wnba.com' uses the commercial generic top-level domain (.com) with subdomain 'lynx'. Its registrable label 'wnba' stretches across 4 characters containing one vowel alongside 3 consonants. Word splitting yields 1 word: wnba. 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 |
|---|---|---|---|
| 24 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 4 | 104.18.9.76 | United States | AS13335CLOUDFLARENET |
| 4 | 18.172.114.101 | United States | AS16509AMAZON-02 |
| 4 | 142.250.186.161 | Switzerland | |
| 4 | 35.244.160.208 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 142.251.208.2 | United States | AS15169GOOGLE |
| 4 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 65.9.175.60 | United States | AS16509AMAZON-02 |
| 4 | 13.33.187.32 | New York, New York, United States | AS16509AMAZON-02 |
| 4 | 65.9.175.11 | Unknown | Unknown |
| 172 | 38 | - | - |
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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