Summary
API
Submitted URL: https://www.obsnews.co.kr/news/articleView.html?idxno=1543580
AI Security Verdict
Safe Website
Confidence: 94%
Established Korean broadcaster OBS경인TV news article (weather forecast). Self-branded, 18-year-old domain, no credential/payment forms, no Indicators of Compromise or malware signals.
Safety Factors (5)
Details
Page Title
내일까지 큰 일교차…새벽~오전 중부 짙은 안개 < 날씨 < 사회 < 기사본문 - OBS경인TV
Scan Type
public
Domain Name Analysis
Within the South Korean country-code top-level domain (.co.kr), 'www.obsnews.co.kr' is registered; it also runs on subdomain 'www'. The core label 'obsnews' covers 7 characters holding 2 vowels versus 5 consonants. Breaking it apart gives 3 words: ob, s, news. Median word length comes out to 2 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 | 49.50.168.109Navercloud · CLOUD | South Korea | AS135354NAVER BUSINESS PLATFORM ASIA PACIFIC PTE. LTD. |
| 3 | 120.142.248.94 | Nowon-gu, Seoul, South Korea | AS7562HCN Dongjak |
| 3 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 3 | 2.20.245.184Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 203.133.190.44 | South Korea | AS18160Kakao Corp |
| 3 | 2.16.168.209Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 125.209.233.21Navercloud · CLOUD | South Korea | AS23576NAVER Cloud Corp. |
| 3 | 142.251.13.156Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 3 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 159 | 41 | - | - |
Detected Technologies19
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