Security Scan Report: www.kut.org

Redirected to: https://www.kut.org/education/2026-03-19/islamic-private-schools-that-sued-texas-officials-have-now-been-accepted-to-state-voucher-program

Submitted: Mar 20, 2026, 11:32:40 AMCompleted: Mar 20, 2026, 11:33:48 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 39 HTTP transactions. The main domain is kut.org and was registered NaN years ago.

Submitted URL: https://www.kut.org

Effective URL: https://www.kut.org/education/2026-03-19/islamic-private-schools-that-sued-texas-officials-have-now-been-accepted-to-state-voucher-programRedirected

The Cisco Umbrella rank of the primary domain is #494,296 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

1
Risk Score

Legitimate news article from KUT Radio; no security concerns detected.

Safety Factors
Established domain with long registration history
Article content with proper metadata
Only non‑sensitive forms (e.g., contact/newsletter) detected
No suspicious JavaScript behavior beyond normal minification
Domain age information unavailable

Details

Page Title

KUT Homepage | KUT Radio, Austin's NPR Station

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(46%)

Domain Information

The domain 'www.kut.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. Count 3 characters in 'kut' containing one vowel alongside two consonants. It segments into 1 word: kut. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.kut.org

Page Load Overview

2.92s
Total Load Time
109
HTTP Requests
22
Domains
4.6 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:13,215 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
46%
news media journalism
33%
government public service
32%
adult content
27%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1318.66.147.129United States
AS16509Amazon.com, Inc.
1218.172.112.11United States
AS16509Amazon.com, Inc.
12142.251.141.136Germany
123.167.227.67United States
AS16509Amazon.com, Inc.
123.161.82.77Germany
12142.250.186.34Germany
1252.20.183.170Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
12157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
12172.217.16.170GermanyUnknown
1099--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154540872A8F0342E4283D1E1EB62736DBC954507D6899EA2F6ACD7641F42FC29D2731C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3aUNm5K4RDvmQ5Mp2SrYVKuxSRO+O81e81WwvqOT7jy:8K4RDl+O8M81WwvqOT3y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:291182:B9AYIQBQJSdBi4IFHRCUmBGxIAnFL4SjAQgIeDAhNxRmSGSBkoa5MAF8QyVwOQLDIKLwLoCCEQygKFAAImZsgh6FKzgqYBcC

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:9d00df83c181fbf9
Perceptual Hash:eb16c94a2abce994
Difference Hash:29d12e2f0b2b3333
Wavelet Hash:bd00d7838181fbf9
Color Hash:#e06ca6

Scan History

Scan history not available

Unable to load historical scan data