Summary
API
Submitted URL: https://magazineshop.us/collections/publisher-people-inc?srsltid=AYCX9vIaj8Y2o9XwlWzuRUVtzzwsgrLOFnJel7o5mnLykb5dAblCvEb9
AI Security Verdict
Low Risk
Confidence: 75%
Established Shopify magazine store selling back issues; retailer references publisher brands as products, uses its own same-origin account forms, and shows no phishing, malware or impersonation signals.
Risk Factors (3)
Safety Factors (4)
Details
Page Title
People Inc – Magazine Shop US
Scan Type
public
Domain Name Analysis
The domain 'magazineshop.us' uses the United States country-code top-level domain (.us) with no subdomain. The second-level label 'magazineshop' is 12 characters long with five vowels and seven consonants. Segmentation suggests two words: magazine, shop. Average segment length settles at 6 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 |
|---|---|---|---|
| 116 | 23.227.38.65Cloudflare · CDN | Ottawa, Ontario, Canada | AS13335Cloudflare, Inc. |
| 4 | 20.250.198.32Azure · CLOUD | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 4 | 34.128.177.21Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 4 | 23.227.39.200Cloudflare · CDN | Ottawa, Ontario, Canada | AS13335Cloudflare, Inc. |
| 4 | 18.245.31.112Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 4 | 2.23.7.49Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 142.250.154.94Google · CDN | United States | AS15169Google LLC |
| 4 | 199.36.158.100Fastly · CDN | United States | AS54113Fastly, Inc. |
| 4 | 142.251.13.95Google · CDN | United States | AS15169Google LLC |
| 4 | 150.171.109.98Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 580 | 117 | - | - |
Detected Technologies23
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