Security Scan Report: feeds.megaphone.fm

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Submitted: Dec 27, 2025, 10:04:19 AMCompleted: Dec 27, 2025, 10:05:05 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 8 HTTP transactions. The main domain is feeds.megaphone.fm and was registered NaN years ago.

Submitted URL: https://feeds.megaphone.fm

The Cisco Umbrella rank of the primary domain is #11,628 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection
Top 100k Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

Megaphone

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

news media journalism

(31%)

Domain Information

Within the .fm country-code top-level domain, 'feeds.megaphone.fm' is registered and includes subdomain 'feeds'. The second-level label 'megaphone' is 9 characters long holding 4 vowels versus five consonants. Word splitting yields one word: megaphone. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://feeds.megaphone.fm

Page Load Overview

2.24s
Total Load Time
8
HTTP Requests
3
Domains
204 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:113 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism31% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
31%
healthcare medical
29%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.58.206.42Switzerland
223.53.40.59Switzerland
2142.250.186.99SwitzerlandUnknown
83--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1211FB9CCF09017548210A46EE01E1E5E98E60BCB0F4B0532BE6272AFD7C93C8630CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hax+Q2NUapkSxsAXsqAEd9RV8OAfqZPOAzS4AAyqHq2OgZPOA2DJIbse8OAlhEOo:hagCb7ExV8mIHA7FOYGOweFOqT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1137:AAIAAJAAAAgAAEQAAAAgACAAAAAAAAEAAACACABAAAAAAAFIAAAACEAAAAABAAAAACAAAiACAAAEAAAwAAAgAAAIAAAAQAAA

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:0000001818242418
Perceptual Hash:cc793366989c6333
Difference Hash:00100cb2b2cc6c12
Wavelet Hash:0000001c7cffffff
Color Hash:#2d8670

Other Hashes

Crop Resistant:00100cb2b2cc6c12

Scan History

Scan history not available

Unable to load historical scan data