Security Scan Report: www.stubhub.co.uk

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Submitted: Sep 26, 2026, 3:47:45 AMCompleted: Sep 26, 2026, 3:48:46 AMpubliccompleted

This website contacted 37 IPs in 3 countries across 19 domains to perform 109 HTTP transactions. The main domain is stubhub.co.uk and was registered 21 years ago.

Submitted URL: https://www.stubhub.co.uk

The Cisco Umbrella rank of the primary domain is #548,878 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

StubHub's own UK ticketing site on a 22-year-old domain; self-branded, no threat-intel, YARA, IDS or credential/payment form signals. The eval/Function calls are framework/bundler artifacts, not malware.

Safety Factors (5)
Domain age 22 years — well-established registration
Self-branding: title/meta/og tags match the hosting domain
No credential-harvesting or payment form on the page
No Indicators of Compromise, YARA, IDS or Safe Browsing hits
No cross-origin form submission or credential exfiltration observed
Domain age information unavailable

Details

Page Title

Buy sports, concert and theatre tickets on StubHub!

Scan Type

public

Domain Name Analysis

Within the United Kingdom country-code top-level domain (.co.uk), 'www.stubhub.co.uk' is registered and includes subdomain 'www'. Its registrable label 'stubhub' stretches across 7 characters with two vowels and five consonants. Word splitting yields 2 words: stub, hub. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.stubhub.co.uk

Page Load Overview

8.91s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-GB
Text Length:4,094 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media94% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
94%
adult content
44%
technology software
37%
documentation technical
28%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3723.36.162.197Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2146.75.122.92Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
223.197.134.183Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
223.52.180.163Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2143.204.181.8Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2148.113.163.217Canada
AS16276OVH SAS
252.204.87.38Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
223.36.162.223Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.36.162.222Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10937--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197541B524D053CB6F7262FD5AEFF3F8A70ACD365D5820983E4EC4D9802E9A486CCA51D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:0DRXF2VFwWA36IfTTTdcu/bgedJa1bImbu7MxdTgZ0UllKyrWxPKXgDYGmNkyWYD:gRXF2VFwWAHA5AkpRbEA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:287429:CEB2lAQvcBh0KAmJpMMkdpSMMkAsiQIZO0eopzUQ4gsIAhR1BIR5QAQAiqMgGImkQkUJNAmEoxjA4CgJTqAzgFBYAkmFgSwA

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:ff8b83ffffff8183
Perceptual Hash:bc986dc3c36e903c
Difference Hash:4233372c28232317
Wavelet Hash:818181ffbfbf8181
Color Hash:#78593a

Scan History

Scan history not available

Unable to load historical scan data