Summary
This website contacted 8 IPs in 3 countries across 4 domains to perform 2 HTTP transactions. The main domain is jollof-and-rice.vercel.app and was registered 15 years ago.
Submitted URL: https://www.jollof-and-rice.vercel.app/
Effective URL: https://jollof-and-rice.vercel.app/Redirected
AI Security Verdict
High Risk
Confidence: 88%
Page impersonates Naver login, harvests credentials via cross‑origin form, and is flagged by malware intel – high‑risk phishing site.
Risk Factors
Details
Page Title
네이버 : 로그인
Scan Type
public
Language
Korean
Category
corporate business
(52%)Domain Information
The domain 'www.jollof-and-rice.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.jollof-and-rice'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside 4 consonants. It segments into 2 words: ver, cel. Median word length comes out to 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 |
|---|---|---|---|
| 7 | 216.198.79.131 | United States | AS16509Amazon.com, Inc. |
| 0 | 125.209.233.21Navercloud · CLOUD | South Korea | AS23576NAVER Cloud Corp. |
| 0 | 216.198.79.67 | United States | AS16509Amazon.com, Inc. |
| 0 | 23.48.23.46 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 125.209.233.29Navercloud · CLOUD | South Korea | AS23576NAVER Cloud Corp. |
| 0 | 64.29.17.131 | United States | AS16509Amazon.com, Inc. |
| 0 | 23.53.41.18 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 64.29.17.67 | United States | AS16509Amazon.com, Inc. |
| 7 | 8 | - | - |
Page Statistics
Detected Technologies5
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