Summary
API
Submitted URL: http://www.yelmonline.com/stories/seattle-storm-owner-apologizes-for-game-outburst-over-transgender-policy-dispute,406104
AI Security Verdict
Safe Website
Confidence: 94%
The site is a legitimate news article with no phishing, malware, or scam indicators.
Safety Factors (3)
Details
Page Title
Seattle Storm owner apologizes for game outburst over transgender policy dispute | Nisqually Valley News
Scan Type
public
Domain Name Analysis
The domain name 'www.yelmonline.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'yelmonline' stretches across 10 characters containing four vowels alongside 6 consonants. It segments into 3 words: yel, m, online. Median word length is 3 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 |
|---|---|---|---|
| 26 | 23.45.109.51 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 18 | 104.18.11.207Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 18 | 104.21.53.123Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 18 | 172.67.212.211Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 18 | 64.49.236.166 | United States | AS33070Rackspace Hosting |
| 18 | 142.250.154.97Google · CDN | United States | AS15169Google LLC |
| 18 | 23.53.42.184 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 18 | 65.61.154.4 | United States | AS33070Rackspace Hosting |
| 18 | 104.17.25.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 18 | 142.251.127.154Google · CDN | United States | AS15169Google LLC |
| 224 | 12 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Unable to load historical scan data