Security Scan Report: feeds.megaphone.fm

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Submitted: Nov 25, 2025, 2:16:47 PMCompleted: Nov 25, 2025, 2:19:11 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is feeds.megaphone.fm and was registered NaN years ago.

Submitted URL: https://feeds.megaphone.fm/ESP2837225173

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain (>10 years)
Low ranking risk (top 100k in Cisco Umbrella)
No credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

The Elle Duncan Show

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

entertainment media

(63%)

Domain Information

The domain 'feeds.megaphone.fm' uses the .fm country-code top-level domain, featuring subdomain 'feeds'. The second-level label 'megaphone' is 9 characters long with four vowels and five consonants. Word splitting yields 1 word: megaphone. Expect nine characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://feeds.megaphone.fm/ESP2837225173

Page Load Overview

0.52s
Total Load Time
2
HTTP Requests
1
Domains
75 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
Text Length:377,889 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media63% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
63%
news media journalism
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.207.210.79Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.207.210.95Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E555229D5A303F2047391D261EF37EF79F1813FD6525202AA9E83AC17CDE44B923699

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:iTXQvAoUpUN/QLfUf+suFE8pBsedbRv152rjPGuQIQM6SNH3YCfMfuDGRMxhXlAF:iToN/QkeL152rjPGwH3Yau66qE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1346795:kf5vNhwxi0/gY5wSBCZgYEJKl6OAQIBEiACAIwgoEseoUgCINwCSkZSoJE8kf0KACqPFwCXB2ALxfwgoYoiHwNIIJABMwMAF

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:01079f83839f8f81
Perceptual Hash:bf8440506a5e9f5d
Difference Hash:0d4f7e6f5f7c3b4f
Wavelet Hash:07879f83839f8f81
Color Hash:#342d86

Other Hashes

Crop Resistant:0d4f7e6f5f7c3b4f

Scan History

Scan history not available

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