Summary
This website contacted 30 IPs in 4 countries across 26 domains to perform 204 HTTP transactions. The main domain is femina.in and was registered NaN years ago.
Submitted URL: https://www.femina.in/trending/k-drama-royalty-shin-min-a-and-kim-woo-bin-tie-the-knot-288805.html
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate news article from Femina with no security concerns.
Safety Factors
Details
Page Title
K-Drama Royalty Shin Min-A And Kim Woo-Bin Tie The Knot | Femina.in
Scan Type
public
Language
English
Category
healthcare medical
(62%)Domain Information
The domain name 'www.femina.in' uses the Indian country-code top-level domain (.in); it also runs on subdomain 'www'. The core label 'femina' covers 6 characters split between three vowels and three consonants. Splitting it apart reveals 3 words: fem, in, a. Average segment length settles at two 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 |
|---|---|---|---|
| 30 | 199.232.172.157 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 6 | 2.22.89.143 | Vienna, Vienna, Austria | AS20940Akamai International B.V. |
| 6 | 173.194.221.157 | United States | AS15169GOOGLE |
| 6 | 2.22.89.133 | Vienna, Vienna, Austria | AS20940Akamai International B.V. |
| 6 | 216.58.210.168 | United States | AS15169GOOGLE |
| 6 | 216.239.32.36 | United States | AS15169GOOGLE |
| 6 | 216.58.210.129 | United States | AS15169GOOGLE |
| 6 | 35.214.213.192 | Groningen, Groningen, Netherlands | AS15169GOOGLE |
| 6 | 13.33.235.91 | New York, New York, United States | AS16509AMAZON-02 |
| 6 | 216.58.209.174 | United States | AS15169GOOGLE |
| 204 | 30 | - | - |
Detected Technologies3
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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