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Security Scan Report: learnworkecosystemlibrary.com

Submitted: Nov 20, 2025, 6:21:26 AMCompleted: Nov 20, 2025, 6:23:13 AMpubliccompleted
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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%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain (>4 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.

Page Title

Organisation for Economic Co-operation and Development (OECD) | Learn & Work Ecosystem Library

Scan Type

public

Language

🇺🇸

English

(80% confidence)

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

Security scan screenshot of https://learnworkecosystemlibrary.com/organizations/organisation-for-economic-co-operation-and-development-oecd/

Page Load Overview

0.69s
Total Load Time
5
HTTP Requests
3
Domains
86 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:105 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content42% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
42%
documentation technical
37%
news media journalism
33%
blog personal website
30%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.185.131United States
AS15169GOOGLE
235.212.72.135Washington, District of Columbia, United States
AS15169GOOGLE
1216.58.206.42United States
AS15169GOOGLE
0142.250.186.131United States
AS15169GOOGLE
0142.250.186.170United States
AS15169GOOGLE
02a00:1450:4001:800::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
02a00:1450:4001:81c::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
57--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C04EAB27E01113532BF22DF2116739C62A3E18DDE029C9576FC9258CFB2E9537B2649

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Z94qLVrKapR40oza5o2SBwJ4U7Qbwn+FF2emAZyBz+Bah2Zv7FoxrUHz3Nii3RWd:Z9vrdb45gjnMmAo4c2FgrUHz3UVl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:180166:ACiMggIBQ5BxhIi0O6oUogMgCA4QLBhrCwiAEy0EUFCBMJDCOhgKKFpEMmUxRYYDNAsAxxJyiCDwGgAFAIIgIQgHYRdcqUUF

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

Average Hash:0000fffffffffbff
Perceptual Hash:bd52626252be92e6
Difference Hash:edd2203668363636
Wavelet Hash:0000bfbfff8b8383
Color Hash:#b487c5

Other Hashes

Crop Resistant:edd2203668363636,6d2d4d33d9d0d121

Scan History

Scan history not available

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