Summary
This website contacted 19 IPs in 4 countries across 26 domains to perform 106 HTTP transactions. The main domain is cm.asiae.co.kr and was registered NaN years ago.
Submitted URL: https://cm.asiae.co.kr/article/2025122520102428749
The Cisco Umbrella rank of the primary domain is #373,403 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 85%
Low risk – legitimate news page with a minor external PUA link.
Risk Factors
Safety Factors
Details
Page Title
[내일 날씨]성탄절 후 출근길, 강추위 온다…전국 한파특보 유의 - 아시아경제
Scan Type
public
Language
Korean
Category
corporate
(50%)Domain Information
Within the South Korean country-code top-level domain (.co.kr), 'cm.asiae.co.kr' is registered; it also runs on subdomain 'cm'. The second-level label 'asiae' is 5 characters long holding 4 vowels versus one consonant. It segments into two words: asia, e. Expect 2.5 characters per word on average. 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 |
|---|---|---|---|
| 43 | 172.217.18.3 | United States | AS15169GOOGLE |
| 27 | 184.24.77.34 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 27 | 23.32.238.105 | France | |
| 27 | 110.93.142.138 | South Korea | AS38690HyosungITX |
| 27 | 3.36.139.126 | Incheon, Incheon, South Korea | AS16509AMAZON-02 |
| 27 | 110.93.142.142 | South Korea | AS38690HyosungITX |
| 27 | 117.52.74.245 | South Korea | AS3786LG DACOM Corporation |
| 27 | 15.165.136.237 | Incheon, Incheon, South Korea | AS16509AMAZON-02 |
| 27 | 117.52.137.164 | South Korea | AS23576NAVER Cloud Corp. |
| 27 | 216.58.206.40 | United States | AS15169GOOGLE |
| 529 | 19 | - | - |
Detected Technologies4
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
Scan history not available
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