Summary
This website contacted 27 IPs in 4 countries across 8 domains to perform 21 HTTP transactions. The main domain is literate-happiness-six.vercel.app.
Submitted URL: https://literate-happiness-six.vercel.app/
AI Security Verdict
Confirmed Scam
Confidence: 95%
Phishing site impersonating Naver login; confirmed scam.
Risk Factors
Details
Page Title
Naver Sign in
Scan Type
public
Language
English
Category
social media network
(86%)Domain Information
The domain name 'literate-happiness-six.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'literate-happiness-six'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. Breaking it apart gives two words: ver, cel. Median word length is three characters. 'ver' most often appears in Portuguese. Secondary signals appear in Portuguese (Brazil) and Galician.
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 |
|---|---|---|---|
| 21 | 23.72.36.195 | Dublin, Leinster, Ireland | AS20940Akamai International B.V. |
| 0 | 110.93.159.46 | South Korea | AS23576NAVER Cloud Corp. |
| 0 | 151.101.130.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 216.198.79.131 | United States | AS16509AMAZON-02 |
| 0 | 203.104.162.225 | Germany | AS23576NAVER Cloud Corp. |
| 0 | 23.212.88.187 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 0 | 202.179.180.82 | South Korea | AS23576NAVER Cloud Corp. |
| 0 | 23.72.36.144 | Dublin, Leinster, Ireland | AS20940Akamai International B.V. |
| 0 | 125.209.233.21 | South Korea | AS23576NAVER Cloud Corp. |
| 0 | 64.29.17.131 | United States | AS16509AMAZON-02 |
| 21 | 27 | - | - |
Detected Technologies7
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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