Summary
API
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is madhurmatka.app and was registered 3 weeks ago.
Submitted URL: https://madhurmatka.app/kargil-matka.php
AI Security Verdict
Moderate Risk
Confidence: 65%
New 8-day-old Satta/Kargil Matka betting results site with a member login. No malware, phishing kit or brand impersonation found; risk stems from unlicensed gambling content and very young domain.
Risk Factors (3)
Safety Factors (5)
Details
Page Title
Kargil Matka - Kolkataff.Asia
Scan Type
public
Domain Name Analysis
You're looking at domain 'madhurmatka.app' on the application-focused generic top-level domain (.app) without a subdomain. The registrable portion 'madhurmatka' spans 11 characters holding four vowels versus 7 consonants. Breaking it apart gives 4 words: mad, hur, m, atka. The median word length lands at 3 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 |
|---|---|---|---|
| 1 | 104.21.70.223Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 172.67.140.37Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 2 | - | - |
Detected Technologies6
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