Security Scan Report: opportunitiesforyouth.org

Submitted: Nov 20, 2025, 6:37:39 AMCompleted: Nov 20, 2025, 6:41:07 AMpubliccompleted
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Summary

This website contacted 163 IPs in 5 countries across 33 domains to perform 188 HTTP transactions. The main domain is opportunitiesforyouth.org and was registered NaN years ago.

Submitted URL: https://opportunitiesforyouth.org/2025/11/15/apply-for-the-oecd-young-associates-programme-yap-2025-2027-paid-job-in-paris/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain registered since 2009
Standard informational/contact forms only
Unranked status not combined with any strong malicious indicators
Domain age information unavailable

Details

Page Title

OECD Young Associates Programme (YAP) 2026–2028: A Fully Paid Two-Year Policy Fellowship in Paris - Opportunities for Youth

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

You're looking at domain 'opportunitiesforyouth.org' on the non-profit oriented generic top-level domain (.org). The registrable portion 'opportunitiesforyouth' spans 21 characters containing 9 vowels alongside twelve consonants. Breaking it apart gives three words: opportunities, for, youth. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://opportunitiesforyouth.org/2025/11/15/apply-for-the-oecd-young-associates-programme-yap-2025-2027-paid-job-in-paris/

Page Load Overview

2.00s
Total Load Time
188
HTTP Requests
33
Domains
4.7 MB
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-GB
Text Length:71,301 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: webapp
Method: ml+structural

All Detected Categories

news/blog
35%
government public service
29%
news
15%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
63192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
285.100.156.187London, England, United Kingdom
AS2635AUTOMATTIC
26142.250.186.98United States
AS15169GOOGLE
12192.0.77.37San Francisco, California, United States
AS2635AUTOMATTIC
11184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11142.250.186.131United States
AS15169GOOGLE
8142.250.186.110United States
AS15169GOOGLE
7142.250.185.238United States
AS15169GOOGLE
4146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
188163--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B7640A6687BD203563139285AC40FB1C902BCA33DB801DD1BBFAE265D7C1DE52D76A2D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BCftHhK06CoC925zk4S+P5UsCWTAQF+r05jxkQQ4pp7GXU4/2Gkw3mk8+akcUxTS:BGtHcCoC9IF9xaUj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:309394:EMJAcAikUMOAJ4YqpKwxLAAIUogIkgTOAKAMFBASEYAEwAJFqkGxCm+miEcggAG45AZeDMYXBDAFgGSiSIGUDVkMUWhJA1EA

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:bfff7c7e06060028
Perceptual Hash:96cf6b3645334172
Difference Hash:2ce4d0c4ac3c1cdb
Wavelet Hash:9fff7c7e06060068
Color Hash:#53aca5

Scan History

Scan history not available

Unable to load historical scan data