Summary
This website contacted 60 IPs in 2 countries across 19 domains to perform 161 HTTP transactions. The main domain is madhyamamonline.com and was registered NaN years ago.
Submitted URL: https://madhyamamonline.com/lifestyle/health/google-trends-reveal-the-nations-top-health-concerns-1475476
The Cisco Umbrella rank of the primary domain is #680,379 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
The site shows no security concerns and is safe to browse.
Safety Factors
Details
Page Title
What India searched most in 2025: Google Trends reveal the nation’s top health concerns
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
Within the commercial generic top-level domain (.com), 'madhyamamonline.com' is registered without a subdomain. The second-level label 'madhyamamonline' is 15 characters long containing six vowels alongside nine consonants. It segments into three words: madhya, mam, online. Median word length is 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 |
|---|---|---|---|
| 43 | 216.58.206.34 | United States | AS15169GOOGLE |
| 2 | 104.16.128.65 | United States | AS13335CLOUDFLARENET |
| 2 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 2 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.185.194 | United States | AS15169GOOGLE |
| 2 | 104.16.255.64 | United States | AS13335CLOUDFLARENET |
| 161 | 60 | - | - |
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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