Security Scan Report: www.ecnmy.org

Submitted: Nov 1, 2025, 9:18:06 AMCompleted: Nov 1, 2025, 9:19:54 AMpubliccompleted
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Summary

This website contacted 51 IPs in 4 countries across 13 domains to perform 127 HTTP transactions. The main domain is ecnmy.org and was registered NaN years ago.

Submitted URL: https://www.ecnmy.org/learn/your-world/international-organizations/what-is-the-un/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational site with no security concerns.

Safety Factors
Established domain age (over 10 years)
Only standard non-sensitive forms (search, email newsletter)
Content is informational and does not impersonate a known brand
Domain age information unavailable

Details

Page Title

What is the United Nations? — Economy

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

other

(30%)

Domain Information

Domain 'www.ecnmy.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. Count 5 characters in 'ecnmy' containing one vowel alongside four consonants. Word splitting yields three words: ec, n, my. Median word length is 2 characters. 'n' most often appears in Afrikaans. It also appears in English and Breton contexts.

Screenshot

Security scan screenshot of https://www.ecnmy.org/learn/your-world/international-organizations/what-is-the-un/

Page Load Overview

55.46s
Total Load Time
127
HTTP Requests
13
Domains
806 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-GB
Text Length:11,976 chars
Detector Agreement:100%

Website Classification

Primary Category

other30% confidence
Type: spa
Method: ml+structural

All Detected Categories

other
30%
news/blog
20%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2723.50.131.223Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
274.125.71.156United States
AS15169GOOGLE
223.50.131.216Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
252.222.136.89United States
AS16509AMAZON-02
252.222.136.36United States
AS16509AMAZON-02
2142.251.140.168United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2146.75.120.134Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2142.250.185.142United States
AS15169GOOGLE
12751--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFF308F64448153EC2535288A0A4F71CB2E7A186CFC04441BBFD5A7ADFC2FE29A6275D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bJT4vmX/Yqv5XqHjYLMpppMI5ycIbXYCEL5ishHGUUqkLcavq1dCvq1dF:FkvmPYqv5XipQel3HGUUq9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157961:h1WVkEyEoqEa4SDcECZbRF6BsgQCAj6ARkQiWhoziLAAArHhCCFRISDCKiAGXdCkCVgogCANIA6KKiWYDAWDdcJQvCAAAois

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:ff000000ffffff00
Perceptual Hash:a04fbf940fe040df
Difference Hash:403d89891d9c9c13
Wavelet Hash:ff000000ffffff00
Color Hash:#ac8d53

Scan History

Scan history not available

Unable to load historical scan data