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Security Scan Report: www.who.int

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Submitted: Oct 10, 2025, 2:54:50 PMCompleted: Oct 10, 2025, 2:56:35 PMpubliccompleted
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Summary

This website contacted 55 IPs in 3 countries across 20 domains to perform 120 HTTP transactions. The main domain is who.int and was registered NaN years ago.

Submitted URL: https://www.who.int/news-room/events/detail/2025/10/08/default-calendar/webinar-from-oral-prep-to-len-leveling-up-prevention-with-the-who-jhpiego-prep-provider-training-toolkit

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate WHO event page with no security concerns.

Safety Factors
Established WHO domain with long registration history
Content matches official WHO event listing
No suspicious external redirects or malicious links
Domain age information unavailable

Details

Page Title

Webinar – From oral PrEP to LEN: Leveling up prevention with the WHO–Jhpiego PrEP Provider Training Toolkit

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(84%)

Domain Information

Domain 'www.who.int' uses the international treaty organization top-level domain (.int) and includes subdomain 'www'. The core label 'who' covers 3 characters split between one vowel and two consonants. Breaking it apart gives 1 word: who. 'who' most often appears in Chinese (Pinyin). It also appears in English and Sinhala contexts. Net impression: Chinese (Pinyin) phrase with single-word simplicity.

Screenshot

Security scan screenshot of https://www.who.int/news-room/events/detail/2025/10/08/default-calendar/webinar-from-oral-prep-to-len-leveling-up-prevention-with-the-who-jhpiego-prep-provider-training-toolkit

Page Load Overview

44.21s
Total Load Time
120
HTTP Requests
20
Domains
899 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:9,371 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism84% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
84%
healthcare medical
57%
government public service
54%
news
15%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.21.27.152United States
AS13335CLOUDFLARENET
2104.20.35.80United States
AS13335CLOUDFLARENET
2172.67.68.125United States
AS13335CLOUDFLARENET
218.66.122.55United States
AS16509AMAZON-02
218.66.122.86United States
AS16509AMAZON-02
234.98.105.146Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2104.17.25.14United States
AS13335CLOUDFLARENET
2172.66.146.217United States
AS13335CLOUDFLARENET
2104.17.24.14United States
AS13335CLOUDFLARENET
2142.250.186.136United States
AS15169GOOGLE
12055--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E654E93263E813B94413578899B062173AD6A097F17652C8BBFE8B06DF05DF34437A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VefGrMZ/uMp0+Tp0+R2TpMqfZp0+Tp0+cpMq394AskQI8Eogs0QY80YgskQIcEoX:wmIsHpIDRspFn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:283688:AAAgBAOcAAwmjIJEYCboFGQCMK+lgEQiAI4kMAEVAJWo1sHgNOQsJAHcmlIkOYAUQwoABnCEJAERAgAGGAEIBFCEieJOUDnI

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:0000008f9fffffff
Perceptual Hash:be524148beb7654c
Difference Hash:45650e383e3f3b66
Wavelet Hash:000087879f87bbff
Color Hash:#931f55

Other Hashes

Crop Resistant:45650e383e3f3b66,01024686a6a64101,01210db5b53101a5

Scan History

Scan history not available

Unable to load historical scan data