Summary
This website contacted 55 IPs in 2 countries across 29 domains to perform 229 HTTP transactions. The main domain is news.designrush.com and was registered NaN years ago.
Submitted URL: https://news.designrush.com/mcdonalds-monopoly-digital-campaign-us-game-marketing
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns; the site appears legitimate.
Safety Factors
Details
Page Title
McDonald’s MONOPOLY Returns With Digital Game Pieces | DesignRush
Scan Type
public
Language
English
Category
technology software
(93%)Domain Information
The domain name 'news.designrush.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'news'. Its registrable label 'designrush' stretches across 10 characters holding 3 vowels versus 7 consonants. Breaking it apart gives 2 words: design, rush. Average segment length settles at five characters. 'design' most often appears in English. Secondary signals appear in Chinese (Pinyin) and Danish. Overall, 'news.designrush.com' reads as English.
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 |
|---|---|---|---|
| 13 | 142.251.140.174 | United States | AS15169GOOGLE |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 157.240.253.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 146.75.120.159 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 172.66.0.227 | United States | AS13335CLOUDFLARENET |
| 4 | 104.18.37.127 | United States | AS13335CLOUDFLARENET |
| 4 | 108.138.7.54 | United States | AS16509AMAZON-02 |
| 4 | 157.240.253.174 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 108.138.7.29 | United States | AS16509AMAZON-02 |
| 4 | 142.250.185.72 | United States | AS15169GOOGLE |
| 229 | 55 | - | - |
Detected Technologies5
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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