Security Scan Report: www.roughtrade.com

Redirected to: https://www.roughtrade.com/en-de/artist/charlie-puth

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Submitted: Oct 22, 2025, 7:13:49 AMCompleted: Oct 22, 2025, 7:15:57 AMpubliccompleted
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Summary

This website contacted 60 IPs in 3 countries across 20 domains to perform 183 HTTP transactions. The main domain is roughtrade.com and was registered NaN years ago.

Submitted URL: https://www.roughtrade.com/artist/charlie-puth

Effective URL: https://www.roughtrade.com/en-de/artist/charlie-puthRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Legitimate brand (Rough Trade) known in the music retail space
No credential harvesting or payment collection on the page
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Attention Required! | Cloudflare

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(68%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.roughtrade.com' is registered with subdomain 'www'. Count 10 characters in 'roughtrade' containing four vowels alongside six consonants. Tokenizing the label suggests 2 words: rough, trade. Median word length is five characters. 'rough' most strongly signals English. Secondary signals appear in Chinese (Pinyin) and Chinese (Zhuyin). Overall, 'www.roughtrade.com' reads as English.

Screenshot

Security scan screenshot of https://www.roughtrade.com/artist/charlie-puth

Page Load Overview

13.83s
Total Load Time
183
HTTP Requests
20
Domains
3.1 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:35,363 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping68% confidence
Type: webapp
Method: ml+structural

All Detected Categories

e-commerce shopping
68%
technology software
58%
entertainment media
40%
documentation technical
28%
e-commerce
20%

Detected Features

Search
Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
623.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3172.217.18.8United States
AS15169GOOGLE
3104.18.40.137United States
AS13335CLOUDFLARENET
3146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
323.36.162.200Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3107.23.162.91Ashburn, Virginia, United States
AS14618AMAZON-AES
313.226.244.31United States
AS16509AMAZON-02
3108.138.26.78United States
AS16509AMAZON-02
3216.239.32.36United States
AS15169GOOGLE
3198.244.167.39London, England, United Kingdom
AS16276OVH SAS
18360--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3B4D8B0B1C1A1AF067FD5F4B152E31F85C3109AFB992251E58687282BCBD5398B4DB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:7xPjbR9FlKPRJBRtZWoxPjbR9FlZSoWIubfC/dq0L3:0p/RtZZxL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500110:FMBGJGpjAhixwgYBEgoDgAbCiwAxmgpwAoB5CD9ADWACAhH5DA4sAsAIARcSBdIAuAIZNQhR1CigiRiQxoQ4YoUPACQcB2AN

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:00003c3c3c3c0000
Perceptual Hash:cb1230ed9b92cf92
Difference Hash:68e0e9e969610f0b
Wavelet Hash:00003c3c3cffe7f5
Color Hash:#9479d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data