Summary
This website contacted 7 IPs in 2 countries across 3 domains to perform 5 HTTP transactions. The main domain is learnworkecosystemlibrary.com and was registered NaN years ago.
Submitted URL: https://learnworkecosystemlibrary.com/organizations/organisation-for-economic-co-operation-and-development-oecd/
AI Security Verdict
Safe Website
Confidence: 85%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Primary Scan Blocked — Fallback Capture Shown
The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.
Page Title
Organisation for Economic Co-operation and Development (OECD) | Learn & Work Ecosystem Library
Scan Type
public
Language
English
Category
adult content
(42%)Domain Information
You're looking at domain 'learnworkecosystemlibrary.com' on the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'learnworkecosystemlibrary' spans 25 characters containing 8 vowels alongside 17 consonants. Tokenizing the label suggests 4 words: learn, work, ecosystem, library. Average segment length settles at 6 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 |
|---|---|---|---|
| 2 | 142.250.185.131 | United States | AS15169GOOGLE |
| 2 | 35.212.72.135 | Washington, District of Columbia, United States | AS15169GOOGLE |
| 1 | 216.58.206.42 | United States | AS15169GOOGLE |
| 0 | 142.250.186.131 | United States | AS15169GOOGLE |
| 0 | 142.250.186.170 | United States | AS15169GOOGLE |
| 0 | 2a00:1450:4001:800::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 0 | 2a00:1450:4001:81c::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 7 | - | - |
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
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