Security Scan Report: www.rmpbs.org

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Submitted: Dec 31, 2025, 3:00:35 AMCompleted: Dec 31, 2025, 3:03:03 AMpubliccompleted
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Summary

This website contacted 34 IPs in 2 countries across 24 domains to perform 148 HTTP transactions. The main domain is rmpbs.org and was registered NaN years ago.

Submitted URL: https://www.rmpbs.org/shows/colorado-experience/episodes/ben-nighthorse-campbell-jjrtlv

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established public broadcaster domain
No suspicious forms or data collection
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

Ben Nighthorse Campbell | Rocky Mountain PBS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(62%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.rmpbs.org' is registered and includes subdomain 'www'. The registrable portion 'rmpbs' spans 5 characters split between 0 vowels and 5 consonants. Splitting it apart reveals two words: rm, pbs. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.rmpbs.org/shows/colorado-experience/episodes/ben-nighthorse-campbell-jjrtlv

Page Load Overview

55.36s
Total Load Time
128
HTTP Requests
25
Domains
4.9 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:4,104 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism62% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
62%
education learning
30%
government public service
29%
corporate
25%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2920.250.198.32Germany
3142.250.185.200United States
AS15169GOOGLE
387.248.119.252Germany
33.33.220.150Germany
376.76.21.93Walnut, California, United States
AS16509AMAZON-02
313.33.187.36New York, New York, United States
AS16509AMAZON-02
337.252.171.53GermanyUnknown
3104.18.16.220United States
AS13335CLOUDFLARENET
335.71.131.137GermanyUnknown
366.33.60.194United States
AS16509AMAZON-02
12834--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8B5C0B2B900E417C3878FDC697D6F3A91A7A27C46C2916CD9E4C34503D78B85A722DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:Wphp8pep3pMpBp+pqpHp8pHpEpzplphp5pcplpYpip3p+pdpppip1pxp7U:h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2342073:SCaBUVyAxEEAAiATQAEFAUiQc2VMIADHpYdQOt0R4H85EAnAAQcqBiIKwguM8BAYKIgCaBCqhUAMAqOoCMGCABVgIoICCAIA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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