Summary
This website contacted 12 IPs in 3 countries across 12 domains to perform 80 HTTP transactions. The main domain is koreanstyle-shop.com and was registered NaN years ago.
Submitted URL: https://koreanstyle-shop.com/blogs/k-pop-blog/who-are-the-members-of-bts
AI Security Verdict
Safe Website
Confidence: 92%
The site is an old, content‑focused blog with no malicious indicators or phishing elements.
Safety Factors
Details
Page Title
Who are the BTS ? Presentation, History and KPOP | Korean Style Shop
Scan Type
public
Language
English
Category
entertainment media
(86%)Domain Information
The domain name 'koreanstyle-shop.com' uses the commercial generic top-level domain (.com). The registrable portion 'koreanstyle-shop' spans 16 characters split between 5 vowels and ten consonants, plus one hyphen. Tokenizing the label suggests three words: korean, style, shop. Expect five characters per word on average. 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 |
|---|---|---|---|
| 10 | 146.75.122.133 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 7 | 23.227.39.200 | Ottawa, Ontario, Canada | AS13335Cloudflare, Inc. |
| 7 | 172.67.75.161 | United States | AS13335Cloudflare, Inc. |
| 7 | 34.160.147.240 | Kansas City, Missouri, United States | AS396982Google LLC |
| 7 | 54.235.77.118 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 7 | 142.250.154.97 | United States | AS15169Google LLC |
| 7 | 18.185.150.80 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 7 | 23.227.38.36 | Ottawa, Ontario, Canada | AS13335Cloudflare, Inc. |
| 7 | 34.149.34.106 | Kansas City, Missouri, United States | AS396982Google LLC |
| 7 | 23.227.39.20 | Ottawa, Ontario, Canada | AS13335Cloudflare, Inc. |
| 87 | 12 | - | - |
Detected Technologies14
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
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