Summary
This website contacted 28 IPs in 2 countries across 10 domains to perform 49 HTTP transactions. The main domain is goisc.org and was registered NaN years ago.
Submitted URL: https://www.goisc.org/englishblog/2025/8/28/understanding-apec-what-is-apec
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate informational site with no security concerns.
Safety Factors
Details
Page Title
Understanding APEC: What is APEC? — 국제전략센터/The International Strategy Center
Scan Type
public
Language
English
Category
other
(84%)Domain Information
Domain 'www.goisc.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. Count 5 characters in 'goisc' holding two vowels versus 3 consonants. Breaking it apart gives 3 words: go, is, c. Expect two characters per word on average. 'go' most often appears in Afrikaans. You will also see it in Dutch and Hungarian contexts.
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 |
|---|---|---|---|
| 22 | 23.50.131.197 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 34.160.236.44 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 23.50.131.216 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.185.195 | United States | AS15169GOOGLE |
| 1 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 104.102.46.110 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 142.250.185.202 | United States | AS15169GOOGLE |
| 1 | 23.32.238.210 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 146.75.120.237 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 49 | 28 | - | - |
Detected Technologies8
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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