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Security Scan Report: learn.org

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Submitted: Oct 27, 2025, 7:31:46 AMCompleted: Oct 27, 2025, 7:33:01 AMpubliccompleted
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Summary

This website contacted 39 IPs in 2 countries across 8 domains to perform 58 HTTP transactions. The main domain is learn.org and was registered NaN years ago.

Submitted URL: https://learn.org/articles/Radio_Broadcasting_5_Steps_to_Becoming_a_Radio_Broadcaster.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate educational page with no security concerns.

Safety Factors
Established domain with long registration history
No credential or payment collection fields
Content matches the site’s educational purpose
Domain age information unavailable

Details

Page Title

How to Become a Radio Broadcaster in 5 Steps

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

education learning

(70%)

Domain Information

You're looking at domain 'learn.org' on the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The core label 'learn' covers 5 characters containing two vowels alongside 3 consonants. It segments into one word: learn. Average segment length settles at 5 characters. 'learn' most strongly signals English. Secondary signals appear in Chinese (Pinyin) and Sinhala.

Screenshot

Security scan screenshot of https://learn.org/articles/Radio_Broadcasting_5_Steps_to_Becoming_a_Radio_Broadcaster.html

Page Load Overview

19.49s
Total Load Time
58
HTTP Requests
8
Domains
203 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:9,119 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning70% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
70%
entertainment media
64%
government public service
29%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
203.161.82.50United States
AS16509AMAZON-02
1104.17.24.14United States
AS13335CLOUDFLARENET
1104.18.11.207United States
AS13335CLOUDFLARENET
1151.101.194.137San Francisco, California, United States
AS54113FASTLY
113.226.244.96United States
AS16509AMAZON-02
13.161.82.117United States
AS16509AMAZON-02
13.161.82.123United States
AS16509AMAZON-02
1142.250.186.136United States
AS15169GOOGLE
113.226.244.22United States
AS16509AMAZON-02
113.226.244.121United States
AS16509AMAZON-02
5839--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B513B702B9CC4D2A018709F8A9D176C8A0BFAF35D10558D0B2BBD2BC1B53B5DA53FC56

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:sWBlBH4jxtYleQEYhxtUK2xOytgPd2NVGaum0Bt6tltbtctvtstUtptTK2KyKsKh:sMlBH4t2l9HBX1MVGaum0Bt6tltbtctc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42829:goAZEkKUEOAEAkQAA0UJgTzAUjErKECQAwFDLOAHCPhGgCAAghRxFg6IhKE+BnBVBZuAEOldYwQBMyQArEOACJ2rUAYKDgJx

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:ff7f7fff0f073f00
Perceptual Hash:80c14eb178ef3bc9
Difference Hash:80e0d080981e687d
Wavelet Hash:7e3e3e7f0f030700
Color Hash:#8788c5

Other Hashes

Crop Resistant:80e0d080981e687d

Scan History

Scan history not available

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