Security Scan Report: www.oecd-nea.org

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Submitted: Oct 31, 2025, 7:30:45 AMCompleted: Oct 31, 2025, 7:32:16 AMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 4 domains to perform 49 HTTP transactions. The main domain is oecd-nea.org and was registered NaN years ago.

Submitted URL: https://www.oecd-nea.org/jcms/pl_28292/chernobyl-chapter-ii-the-release-dispersion-deposition-and-behaviour-of-radionuclides

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established organization (Nuclear Energy Agency)
Standard informational content only
Search form does not collect sensitive data
Domain age information unavailable

Details

Page Title

Nuclear Energy Agency (NEA) - Chernobyl: Chapter II. The release, dispersion, deposition and behaviour of radionuclides

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'www.oecd-nea.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. Count 8 characters in 'oecd-nea' holding 4 vowels versus 3 consonants; it also includes one hyphen. It segments into two words: oecd, nea. Median word length comes out to 3.5 characters. Most frequently, 'ocd' shows up in Vietnamese. Usage also turns up in English and Chinese (Pinyin) contexts. Overall, 'www.oecd-nea.org' reads as Vietnamese with character flair.

Screenshot

Security scan screenshot of https://www.oecd-nea.org/jcms/pl_28292/chernobyl-chapter-ii-the-release-dispersion-deposition-and-behaviour-of-radionuclides

Page Load Overview

48.08s
Total Load Time
49
HTTP Requests
4
Domains
163 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:30,640 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5193.51.64.72Étampes, Île-de-France, France
AS2200Renater
4216.239.32.36United States
AS15169GOOGLE
4159.180.243.200Paris, Île-de-France, France
AS34177Celeste SAS
4142.250.185.142United States
AS15169GOOGLE
4216.239.34.36United States
AS15169GOOGLE
4142.250.185.72United States
AS15169GOOGLE
4142.250.186.104United States
AS15169GOOGLE
42a00:1450:4001:82b::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
42001:4860:4802:32::36United States
AS15169GOOGLE
42a00:1450:4001:810::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
4912--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE93A512A2E4273601A301816A586F8EABF5C4A7D3425E04759EC78D3FCFF96ED37099

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Gw9DOFErfyidIBTpk+RoXSL4BT7ePbA8zLrm+/G:lFOFEGidIziODO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91191:pEh82gNUiqEAF4QyxYQXRgZYpgCkQdBlOtUYgClJCchEhgFEEEYDAyJGAmKhTQgGCHUGFVNU9QyB+LAP6ARHCTYIZQoJIQRg

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:00ff8fbf879f8787
Perceptual Hash:bf49486236471f35
Difference Hash:66157e6e2e7d4d3d
Wavelet Hash:00ff878787878787
Color Hash:#bad22d

Other Hashes

Scan History

Scan history not available

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