Security Scan Report: dcs-spotify.megaphone.fm

Redirected to: https://traffic.megaphone.fm/

Submitted: Dec 8, 2025, 7:33:00 AMCompleted: Dec 8, 2025, 7:34:40 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is traffic.megaphone.fm and was registered NaN years ago.

Submitted URL: https://dcs-spotify.megaphone.fm/

Effective URL: https://traffic.megaphone.fm/Redirected

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 security risks.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No suspicious forms or content
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain 'dcs-spotify.megaphone.fm' uses the .fm country-code top-level domain with subdomain 'dcs-spotify'. The second-level label 'megaphone' is 9 characters long containing four vowels alongside 5 consonants. Breaking it apart gives 1 word: megaphone. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dcs-spotify.megaphone.fm/

Page Load Overview

0.97s
Total Load Time
3
HTTP Requests
2
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:10 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.207.210.93Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
135.186.224.24United States
AS396982GOOGLE-CLOUD-PLATFORM
123.207.210.84Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
33--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11EC08CB7C120480EAB306AF8CA8278949E44920CE1225F40B6E0E3A4F488EA7908329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYCk2IV0Vtqa:qzxV/5VHHoB96D3ne1k9YC9+I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:6034c40b2b2dcb54c265c8993ad06b3a

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#87c595

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data