Summary
This website contacted 32 IPs in 4 countries across 33 domains to perform 259 HTTP transactions. The main domain is cstimes.com and was registered NaN years ago.
Submitted URL: https://www.cstimes.com/news/articleView.html?idxno=685934
AI Security Verdict
High Risk
Confidence: 78%
Page likely compromised with hidden credential‑harvesting forms; treat as high‑risk phishing.
Risk Factors
Details
Page Title
[내일날씨] 영하권 한파 계속…서울 아침 -10도 - 컨슈머타임스(Consumertimes)
Scan Type
public
Language
Korean
Category
social media network
(88%)Domain Information
The domain 'www.cstimes.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 7 characters in 'cstimes' split between 2 vowels and five consonants. Splitting it apart reveals 2 words: cs, times. Median word length is 3.5 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 |
|---|---|---|---|
| 11 | 35.214.213.192 | Groningen, Groningen, Netherlands | AS15169GOOGLE |
| 8 | 116.120.59.186 | South Korea | AS9318SK Broadband Co Ltd |
| 8 | 34.111.60.239 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 8 | 104.124.11.35 | Düsseldorf, North Rhine-Westphalia, Germany | AS20940Akamai International B.V. |
| 8 | 216.239.34.36 | United States | AS15169GOOGLE |
| 8 | 216.58.209.193 | United States | AS15169GOOGLE |
| 8 | 216.58.209.202 | United States | AS15169GOOGLE |
| 8 | 3.36.139.126 | Incheon, Incheon, South Korea | AS16509AMAZON-02 |
| 8 | 35.208.249.213 | Council Bluffs, Iowa, United States | AS15169GOOGLE |
| 8 | 121.125.77.218 | Bupyeong-gu, Incheon, South Korea | AS9318SK Broadband Co Ltd |
| 259 | 32 | - | - |
Detected Technologies1
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
Unable to load historical scan data