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Security Scan Report: www.setlist.fm

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Submitted: Oct 13, 2025, 9:11:05 AMCompleted: Oct 13, 2025, 9:12:59 AMpubliccompleted
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Summary

This website contacted 155 IPs in 5 countries across 28 domains to perform 109 HTTP transactions. The main domain is setlist.fm and was registered NaN years ago.

Submitted URL: https://www.setlist.fm/setlist/billie-eilish/2025/kaseya-center-miami-fl-4b47d796.html

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate site providing concert setlist information.

Safety Factors
Established domain with long registration history
Clean threat intelligence profile
No suspicious redirects or external malicious links
Only benign search functionality present
Domain age information unavailable

Details

Page Title

www.setlist.fm

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

entertainment media

(70%)

Domain Information

Within the .fm country-code top-level domain, 'www.setlist.fm' is registered, featuring subdomain 'www'. The second-level label 'setlist' is 7 characters long holding two vowels versus five consonants. Word splitting yields 2 words: set, list. The median word length lands at 3.5 characters. 'set' most strongly signals Danish. You may catch it in Chinese (Pinyin) and English as well. Overall, 'www.setlist.fm' reads as Danish.

Screenshot

Security scan screenshot of https://www.setlist.fm/setlist/billie-eilish/2025/kaseya-center-miami-fl-4b47d796.html

Page Load Overview

52.45s
Total Load Time
109
HTTP Requests
28
Domains
1.7 MB
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:6,143 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media70% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
70%
adult content
38%
forum
20%

Detected Features

Search
OG: setlist

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
109142.250.184.226United States
AS15169GOOGLE
0108.138.26.98United States
AS16509AMAZON-02
03.77.7.116Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0142.250.186.33United States
AS15169GOOGLE
03.160.150.36United States
AS16509AMAZON-02
018.245.31.128United States
AS16509AMAZON-02
0143.204.98.128United States
AS16509AMAZON-02
0142.250.186.162United States
AS15169GOOGLE
018.66.147.22United States
AS16509AMAZON-02
03.160.150.40United States
AS16509AMAZON-02
109155--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179C30A369856623701F761E0A2A9BB2EB7F2C425F3635D50B2FC96B427C0FC66C1129D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:W6olGy6cuWBbxHsUWecXQnFFi0IRbjYEeD:zGie9IRbjYvD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127438:KKKT0MAaloSQHSKmGDdRQAAxALBDSiiMFcgqQBFQkiocZAIE4QWFgIIGxBLBEMeSCBcBA1OkBHgFIqCAPy4IKaoESjBkkpCq

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:00869ffff1f1fbff
Perceptual Hash:ed12926992966d9d
Difference Hash:2d94342433332724
Wavelet Hash:00028fb391d1f9ff
Color Hash:#cdd22d

Other Hashes

Crop Resistant:2d94342433332724,25d8d89988e6e069

Scan History

Scan history not available

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