Security Scan Report: www.theglobalfund.org

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Submitted: Nov 4, 2025, 9:11:19 AMCompleted: Nov 4, 2025, 9:12:06 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 2 domains to perform 18 HTTP transactions. The main domain is theglobalfund.org.

Submitted URL: https://www.theglobalfund.org/en/news/2025/2025-11-03-african-union-global-fund-formalize-cooperation-strengthen-health-systems-development-in-africa/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Domain hosts legitimate news release content
Brand name aligns with final URL domain
Domain age information unavailable

Details

Page Title

African Union and Global Fund Formalize Cooperation to Strengthen Health Systems and Development in Africa - News Releases - The Global Fund to Fight AIDS, Tuberculosis and Malaria

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(35%)

Domain Information

You're looking at domain 'www.theglobalfund.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. Count 13 characters in 'theglobalfund' holding four vowels versus nine consonants. It segments into three words: the, global, fund. Expect four characters per word on average. Most frequently, 'the' shows up in Chinese (Pinyin). Usage also turns up in English and Chinese (Zhuyin) contexts. Taken together, it feels Chinese (Pinyin).

Screenshot

Security scan screenshot of https://www.theglobalfund.org/en/news/2025/2025-11-03-african-union-global-fund-formalize-cooperation-strengthen-health-systems-development-in-africa/

Page Load Overview

10.04s
Total Load Time
18
HTTP Requests
2
Domains
366 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:6,031 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
35%
news
15%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3185.125.26.133Switzerland
AS29222Infomaniak Network SA
3162.159.140.127United States
AS13335CLOUDFLARENET
3172.66.0.125United States
AS13335CLOUDFLARENET
32606:4700:7::7dUnited States
AS13335CLOUDFLARENET
32001:1600:3:5::a4Switzerland
AS29222Infomaniak Network SA
32a06:98c1:58::7dUnited States
AS13335CLOUDFLARENET
186--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8C254A390C67037813261C97A3163B7E2E3547ACA1E1A6272FC976D6F42EC1CF1254A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:bEyc5rMFG5O1nMI31K8lpLlDiYcDUPCl65:bEycNMFG5O1nMIFpLlDiYcDUPCl65

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27944:0iURBGGIBEkS5wUN8CBMJkQogLDAEmJIQeIVIqIClZAIjVgigJRjUhLwLFCI0Auja9TtKliAAKlLIgzCUAUSBICpHuABkFSA

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:bf8383c3e1c1e3e3
Perceptual Hash:e91e9ec2d2c66361
Difference Hash:653e530f83031313
Wavelet Hash:bf8383c1e1e1e3c1
Color Hash:#c579d2

Other Hashes

Crop Resistant:653e530f83031313

Scan History

Scan history not available

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