Security Scan Report: ecosoc.un.org

Submitted: Nov 20, 2025, 10:47:30 AMCompleted: Nov 20, 2025, 10:48:59 AMpubliccompleted
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Summary

This website contacted 11 IPs in 4 countries across 5 domains to perform 184 HTTP transactions. The main domain is ecosoc.un.org and was registered NaN years ago.

Submitted URL: https://ecosoc.un.org/en

The Cisco Umbrella rank of the primary domain is #44,318 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate UN Economic and Social Council site with no security concerns.

Safety Factors
Well‑established domain with long registration history
Official United Nations branding on a legitimate UN domain
Absence of credential‑harvesting or payment forms
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Home | Economic and Social Council

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(36%)

Domain Information

The domain name 'ecosoc.un.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'ecosoc'. Count 2 characters in 'un' with 1 vowel and one consonant. Breaking it apart gives 1 word: un. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ecosoc.un.org/en

Page Load Overview

1.08s
Total Load Time
184
HTTP Requests
5
Domains
5.7 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
Text Length:6,339 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service36% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
36%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17585.159.205.76Brindisi, Apulia, Italy
AS28977United Nations Logistics Base
24206.189.113.193Slough, England, United Kingdom
AS14061DIGITALOCEAN-ASN
16104.18.1.22United States
AS13335CLOUDFLARENET
162606:4700::6812:16United States
AS13335CLOUDFLARENET
162a00:1450:4001:829::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
162a00:1450:4001:81d::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
162606:4700::6812:116United States
AS13335CLOUDFLARENET
3159.89.21.156Frankfurt am Main, Hesse, Germany
AS14061DIGITALOCEAN-ASN
2142.250.186.99United States
AS15169GOOGLE
2216.58.206.40United States
AS15169GOOGLE
18411--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CD39421A5E43037051B06C6B231E32BB6E3E29BDA064584F2FC575A4FDAE50DC13B6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ecJrvGYbtUBZv/TjX5xkgSy9FCtA7p2OV69+drYoGbRHlQfZHOWABmLK8ijAcZgX:pJTGYbtUBZv/TjX5xkgSy9FCtA7p2G6y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:135657:CQRgKkpAsOgEHDhiZnQGAEIUSAmABC8VhGYqDaEAGgGEgU8AoMDjgQFERxBBkFBAA79AxQQFCWILABSUoOCLCTgw5MxIDEAE

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:ffff0000480000ff
Perceptual Hash:d0f2bf3dd142a541
Difference Hash:2c2f81809036f12b
Wavelet Hash:ffff00607e0000ff
Color Hash:#2d45d2

Scan History

Scan history not available

Unable to load historical scan data