Security Scan Report: aeschtunes.com

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Submitted: Dec 14, 2025, 12:52:24 AMCompleted: Dec 14, 2025, 12:53:11 AMpubliccompleted
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Summary

This website contacted 109 IPs in 3 countries across 24 domains to perform 215 HTTP transactions. The main domain is aeschtunes.com and was registered NaN years ago.

Submitted URL: https://aeschtunes.com/tag/meghan-trainor/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection
Only benign newsletter signup form
Domain age information unavailable

Details

Page Title

Meghan Trainor – AeschTunes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(53%)

Domain Information

The domain name 'aeschtunes.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'aeschtunes' stretches across 10 characters split between 4 vowels and 6 consonants. Word splitting yields two words: aesch, tunes. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aeschtunes.com/tag/meghan-trainor/

Page Load Overview

12.64s
Total Load Time
215
HTTP Requests
24
Domains
7.7 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:4,493 chars
Detector Agreement:75%

Website Classification

Primary Category

entertainment media53% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
53%
adult content
43%
social media network
32%
government public service
28%
healthcare medical
27%

Detected Features

Search
Articles
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
107142.250.185.98United States
AS15169GOOGLE
1192.0.78.23San Francisco, California, United States
AS2635AUTOMATTIC
1142.251.208.22United States
AS15169GOOGLE
1142.250.185.206United States
AS15169GOOGLE
1142.251.208.6United States
AS15169GOOGLE
1192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
1142.250.186.131United States
AS15169GOOGLE
1142.251.141.104United States
AS15169GOOGLE
1192.0.78.22San Francisco, California, United States
AS2635AUTOMATTIC
123.58.109.51Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
215109--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11AA33972A55C48BA5B2A1786B8077319701ECF39CA0189E8B8FF452C5FC6CBB217675C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:WHxypWiW1hRM/YIbMlJ7JiyjP98+1Q8Sgk2/zkwSwaspod47KkZeUrFYHNYnLvWv:2s3MlxrH+waAod47Kk4UrFYHNYnLvna

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99221:kKoAGJRWhMEU1DgixAq41wZYWVUqkyCEYFIwdKgaANgwCBpgBkGIJkkUAOioMMP0NcIAIFAYAGFcAXAoLQiDKShwDoAVAKoN

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:7e00007c7c7c7c7c
Perceptual Hash:c37c22d382d3aa7c
Difference Hash:ccedf1d0d0c8c8c8
Wavelet Hash:7e00007c7c7c7e7c
Color Hash:#763a78

Scan History

Scan history not available

Unable to load historical scan data