Summary
API
This website contacted 12 IPs in 3 countries across 5 domains to perform 2 HTTP transactions. The main domain is ysc.ac.kr and was registered 14 years ago.
Submitted URL: https://www.ysc.ac.kr
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate 28-year-old Korean university homepage (Yong-In Arts & Science University) with no forms, no impersonation, and no threat-intel or malware hits. The 'adult content' ML label is a clear false positive.
Safety Factors (5)
Details
Page Title
용인예술과학대학교 대표홈페이지
Scan Type
public
Domain Name Analysis
Within the South Korean country-code top-level domain (.ac.kr), 'www.ysc.ac.kr' is registered with subdomain 'www'. The registrable portion 'ysc' spans 3 characters with zero vowels and three consonants. Tokenizing the label suggests 2 words: ys, c. Median word length is 1.5 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 |
|---|---|---|---|
| 2 | 211.195.56.16 | Hwaseong-si, Gyeonggi-do, South Korea | AS4766Korea Telecom |
| 0 | 2.16.10.154Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 142.251.14.97Google · CDN | United States | AS15169Google LLC |
| 0 | 192.178.183.138Google · CDN | United States | AS15169Google LLC |
| 0 | 211.183.208.43 | South Korea | AS152199Kakao Corp |
| 0 | 184.24.77.143Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 184.24.77.169Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 0 | 49.50.169.238Navercloud · CLOUD | South Korea | AS135354NAVER BUSINESS PLATFORM ASIA PACIFIC PTE. LTD. |
| 0 | 23.216.77.144Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 12 | - | - |
Detected Technologies8
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