Summary
API
Submitted URL: https://gentle-pine-39dc.pages.dev/ko-kr/about
AI Security Verdict
Low Risk
Confidence: 65%
Informational Cloudflare Speed Test about page on Cloudflare's own pages.dev platform; no forms, no credential collection, no threat-intel, YARA or phishing IDS hits. Only weak signals are brand reference and unknown subdomain age.
Risk Factors (2)
Safety Factors (5)
Details
Page Title
Cloudflare Speed Test 소개 | Cloudflare
Scan Type
public
Domain Name Analysis
Within the developer-focused generic top-level domain (.dev), 'gentle-pine-39dc.pages.dev' is registered with subdomain 'gentle-pine-39dc'. The core label 'pages' covers 5 characters containing 2 vowels alongside 3 consonants. Breaking it apart gives 1 word: pages. 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 |
|---|---|---|---|
| 12 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 11 | 104.18.94.41Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 11 | 188.114.96.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 11 | 104.18.95.41Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 45 | 4 | - | - |
Detected Technologies4
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