Summary
This website contacted 29 IPs in 4 countries across 28 domains to perform 256 HTTP transactions. The main domain is t2online.in and was registered NaN years ago.
Submitted URL: https://t2online.in/goodlife/people/k-drama-romance-from-reel-to-real--kim-woo-bin-and-shin-min-a-tie-the-knot/2002820
AI Security Verdict
Safe Website
Confidence: 92%
No security concerns detected; the site appears legitimate.
Safety Factors
Details
Page Title
K-drama Wedding: Kim Woo-bin & Shin Min-a Unite | t2ONLINE
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
Domain 't2online.in' uses the Indian country-code top-level domain (.in) and has no subdomain. Count 8 characters in 't2online' containing three vowels alongside four consonants; bonus characters include 1 digit. Breaking it apart gives three words: t, 2, online. Median word length comes out to 1 character. 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 |
|---|---|---|---|
| 32 | 31.13.72.53 | Bromma, Stockholm County, Sweden | AS32934FACEBOOK |
| 8 | 216.58.210.168 | United States | AS15169GOOGLE |
| 8 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 8 | 216.58.209.202 | United States | AS15169GOOGLE |
| 8 | 172.67.75.122 | United States | AS13335CLOUDFLARENET |
| 8 | 216.239.34.178 | United States | AS15169GOOGLE |
| 8 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 172.66.0.227 | United States | AS13335CLOUDFLARENET |
| 8 | 157.240.27.63 | Düsseldorf, North Rhine-Westphalia, Germany | AS32934FACEBOOK |
| 8 | 216.239.32.36 | United States | AS15169GOOGLE |
| 256 | 29 | - | - |
Detected Technologies7
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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