Security Scan Report: www.wuky.org

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Submitted: Oct 2, 2026, 8:32:17 PMCompleted: Oct 2, 2026, 8:33:15 PMpubliccompleted

This website contacted 34 IPs in 3 countries across 15 domains to perform 56 HTTP transactions. The main domain is wuky.org and was registered 2 years 10 months ago.

Submitted URL: https://www.wuky.org/npr-news/2026-10-02/pro-trump-influencer-benny-johnson-is-being-sued-for-defamation-by-ice-protesters

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established NPR member station WUKY (26-year-old domain) serving a normal news article. No forms collecting credentials, no impersonation, and no threat-intel, YARA or IDS hits.

Safety Factors (5)
Established 26-year-old domain with long registration history
Self-branding: site title/meta matches its own domain (WUKY)
Article-type page with byline, publication date and NPR attribution
Third-party scripts all from ranked, well-known hosts (Google Analytics, DoubleClick, NPR CDN, Facebook)
No cross-origin credential submission or exfiltration detected
Domain age information unavailable

Details

Page Title

Pro-Trump Influencer Benny Johnson is being sued for defamation by ICE protesters

Scan Type

public

Domain Name Analysis

Within the non-profit oriented generic top-level domain (.org), 'www.wuky.org' is registered, featuring subdomain 'www'. Count 4 characters in 'wuky' holding 1 vowel versus 3 consonants. Word splitting yields two words: wu, ky. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wuky.org/npr-news/2026-10-02/pro-trump-influencer-benny-johnson-is-being-sued-for-defamation-by-ice-protesters

Page Load Overview

3.06s
Total Load Time
2.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:7,988 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media88% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
88%
healthcare medical
85%
news media journalism
76%
government public service
47%
adult content
37%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2318.245.31.95Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
118.172.112.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.20.157Google · CDNUnited States
AS15169Google LLC
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1142.251.20.97Google · CDNUnited States
AS15169Google LLC
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
12.16.106.13Akamai · CDNAmsterdam, North Holland, Netherlands
AS20940Akamai International B.V.
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1192.178.183.132Google · CDNUnited States
AS15169Google LLC
1142.251.127.155Google · CDNUnited States
AS15169Google LLC
5634--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103F309B582F0293E8787D2E6EE61B30DB8D25417C9851E42F5FC86685F92FC1AE1712C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dKx020iNOwjvJwwjRVul7PhxFJR5DANu0jbyo5DANu0j28lWwbbUTs:dKmyhVul7PhxJ5DANu0jbP5DANu0j28d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159748:YB04EdOFNnisdYIURIwLDKZliEE1VmgrIA7j0AjJAKEF0QLmwDLBAQBEgwUSQSDIghIKaBQwwaE6UCCmC/3gWOsEJBgYEwhN

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:0000c7ffffcfffff
Perceptual Hash:b0414e5b4f52f9d4
Difference Hash:c81f1696381a2c24
Wavelet Hash:0000c3c7cf8f87ff
Color Hash:#2dd298

Scan History

Scan history not available

Unable to load historical scan data