Security Scan Report: www.taylorswift.com

Bot Protection Detected

This website is protected by imperva bot protection. The screenshot and page details below show the page as it was captured.

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Submitted: Aug 29, 2026, 5:09:07 AMCompleted: Aug 29, 2026, 5:09:54 AMpubliccompleted

Summary

This website contacted 27 IPs in 2 countries across 22 domains to perform 2 HTTP transactions. The main domain is taylorswift.com and was registered 15 years ago.

Submitted URL: https://www.taylorswift.com

The Cisco Umbrella rank of the primary domain is #50,610 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site is a legitimate, well‑established Taylor Swift official website with no phishing or malware indicators.

Safety Factors
Established domain with long registration history
Self‑branding aligns with domain
Physical address and business entity listed
No external malicious IoCs or malware detections
Domain age information unavailable

Details

Page Title

The Official Website of Taylor Swift

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(75%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.taylorswift.com' is registered and includes subdomain 'www'. Count 11 characters in 'taylorswift' split between three vowels and 8 consonants. Splitting it apart reveals two words: taylor, swift. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.taylorswift.com

Page Load Overview

5.05s
Total Load Time
150
HTTP Requests
22
Domains
20.8 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-US
Text Length:23,446 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media75% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
75%
social media network
59%
adult content
59%
government public service
49%
documentation technical
37%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2016.15.245.167Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
5142.251.155.119Google · CDNUnited States
AS15169Google LLC
554.192.35.110Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5142.251.20.95Google · CDNUnited States
AS15169Google LLC
5104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.18.87.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
545.60.64.223Incapsula · WAFUnited States
AS19551Incapsula Inc
516.15.213.220Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
5142.251.20.94Google · CDNUnited States
AS15169Google LLC
5142.251.153.4Google · CDNUnited States
AS15169Google LLC
15027--

Page Statistics

150
Requests
14
Unique Domains
21.0 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T114F041BF64B3786904A192571ED9F0289CE9C0A7E7835C007CCA183C6FC1F5B15C7288

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hee/1wILCs+CNZj7riNsONIslgOvpWMNqHrOj3jYY9A+cYG:hee/Xa2ZjSNsiLlgOvcMH9A+3G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:627:AAAAAAgAAAAAQAAAAgABAIAAAQAAAAAAAQAAAAAAAAQAAAAAAAAAAAAAAAAAiAAEAAEAAAAAAAAAAAAAABAAAAAAAAQAAgAA

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:003c7e3c3c3c0c00
Perceptual Hash:82c3796c2d93c6cd
Difference Hash:03e1f5edf5f5793d
Wavelet Hash:003c7e7f7e7c3c00
Color Hash:#2dd232

Scan History

Scan history not available

Unable to load historical scan data