Summary
API
This website contacted 4 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is lovely-biscuit-36f0b7.netlify.app and was registered 25 years ago.
Submitted URL: https://lovely-biscuit-36f0b7.netlify.app/
AI Security Verdict
High Risk
Confidence: 82%
Page harvests credentials while impersonating PUBG Mobile; treat as high‑risk phishing.
Risk Factors
Details
Page Title
PUBG Mobile | Подарок
Scan Type
public
Domain Name Analysis
The domain name 'lovely-biscuit-36f0b7.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'lovely-biscuit-36f0b7'. The core label 'netlify' covers 7 characters with two vowels and five consonants. Segmentation suggests three words: net, li, fy. Expect two 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 |
|---|---|---|---|
| 3 | 87.250.247.183 | Russia | AS13238YANDEX LLC |
| 0 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 0 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 0 | 87.250.247.181 | Russia | AS13238YANDEX LLC |
| 3 | 4 | - | - |
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