Summary
This website contacted 27 IPs in 5 countries across 33 domains to perform 218 HTTP transactions. The main domain is businesskorea.co.kr and was registered NaN years ago.
Submitted URL: https://www.businesskorea.co.kr/news/articleView.html?idxno=259809
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news site with no security concerns.
Safety Factors
Details
Page Title
Gas Stations Allowed to Store Solar Power for EV Charging - Businesskorea
Scan Type
public
Language
English
Category
social media network
(63%)Domain Information
Within the South Korean country-code top-level domain (.co.kr), 'www.businesskorea.co.kr' is registered; it also runs on subdomain 'www'. The core label 'businesskorea' covers 13 characters with six vowels and 7 consonants. Tokenizing the label suggests two words: business, korea. Median word length comes out to 6.5 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 |
|---|---|---|---|
| 8 | 178.250.1.12 | France | AS44788Criteo Technology SAS |
| 8 | 115.85.179.41 | South Korea | AS135354NAVER BUSINESS PLATFORM ASIA PACIFIC PTE. LTD. |
| 8 | 142.250.184.206 | United States | AS15169GOOGLE |
| 8 | 2.19.126.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 141.226.228.48 | Netherlands | AS200478Taboola.com ltd |
| 8 | 142.250.185.66 | United States | AS15169GOOGLE |
| 8 | 142.250.186.104 | United States | AS15169GOOGLE |
| 8 | 23.48.23.21 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 216.239.32.36 | United States | AS15169GOOGLE |
| 8 | 216.58.206.46 | United States | AS15169GOOGLE |
| 218 | 27 | - | - |
Detected Technologies3
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
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