Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is moonlit-phoenix-8039b7.netlify.app and was registered 8 years ago.
Submitted URL: http://moonlit-phoenix-8039b7.netlify.app/
Effective URL: https://moonlit-phoenix-8039b7.netlify.app/Redirected
AI Security Verdict
High Risk
Confidence: 85%
The site mimics a Google login page, is unranked, and triggers Safe Browsing phishing alerts, indicating a high‑risk brand impersonation scam.
Risk Factors
Details
Page Title
Sign in - Google Accounts
Scan Type
public
Language
English
Category
technology software
(38%)Domain Information
Domain 'moonlit-phoenix-8039b7.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'moonlit-phoenix-8039b7'. Count 7 characters in 'netlify' split between 2 vowels and five consonants. Segmentation suggests three words: net, li, fy. 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 |
|---|---|---|---|
| 3 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 3 | 1 | - | - |
Page Statistics
Detected Technologies1
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