Security Scan Report: www.eventbrite.ca

Redirected to: https://www.eventbrite.co.uk/e/freelive-st-mirren-v-celtic-live-streams-on-14-12-2025-tickets-1977805775315?cbssports=

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Submitted: Dec 14, 2025, 4:58:39 PMCompleted: Dec 14, 2025, 5:00:15 PMpubliccompleted
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Summary

This website contacted 73 IPs in 3 countries across 18 domains to perform 64 HTTP transactions. The main domain is eventbrite.co.uk and was registered NaN years ago.

Submitted URL: https://www.eventbrite.ca/e/freelive-st-mirren-v-celtic-live-streams-on-14-12-2025-tickets-1977805775315?cbssports=

Effective URL: https://www.eventbrite.co.uk/e/freelive-st-mirren-v-celtic-live-streams-on-14-12-2025-tickets-1977805775315?cbssports=Redirected

The Cisco Umbrella rank of the primary domain is #291,057 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Eventbrite event page with no security concerns.

Safety Factors
Established domain age
Official brand domain
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

FREE/LIVE: ST MIRREN V CELTIC LIVE STREA.Ms ON 14. 12. 2025 Tickets | Eventbrite

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'www.eventbrite.ca' uses the Canadian country-code top-level domain (.ca), featuring subdomain 'www'. Its registrable label 'eventbrite' stretches across 10 characters containing four vowels alongside six consonants. It segments into two words: event, brite. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.eventbrite.ca/e/freelive-st-mirren-v-celtic-live-streams-on-14-12-2025-tickets-1977805775315?cbssports=

Page Load Overview

25.45s
Total Load Time
64
HTTP Requests
18
Domains
1.4 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:6,957 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
forum community discussion
30%
government public service
26%
forum
20%

Detected Features

Search
Products
OG: events.event
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.164.68.52United States
AS16509AMAZON-02
018.165.122.45United States
AS16509AMAZON-02
03.164.68.11United States
AS16509AMAZON-02
0151.101.130.217San Francisco, California, United States
AS54113FASTLY
018.165.122.23United States
AS16509AMAZON-02
08.47.69.0United States
AS13335CLOUDFLARENET
034.198.52.31Ashburn, Virginia, United States
AS14618AMAZON-AES
03.164.68.38United States
AS16509AMAZON-02
08.6.112.0United States
AS13335CLOUDFLARENET
018.165.140.80United States
AS16509AMAZON-02
6473--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B542BF172981C7B426F86ECF7B7A30CF57AA0CBEA484C80E6784E5811C1DEC55B4969

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jUneD9b40z9iT3NZ29uz2ytJEVZIET8/D8G:ll40z9iT3H29EJAx6D8G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:284729:QEAAUBiDNh5IAA2JAglPIgEFAkwAUFCMEMRQYhNqdBEGKBEDSww4YKBMqK9QT4QUIZkF2AwAAQiAAKAjC2U8EhSQEgGGngTg

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:c38fff9fbfff0f0f
Perceptual Hash:b8e738e7c720c718
Difference Hash:143e683820209494
Wavelet Hash:0082be879f9f0f0f
Color Hash:#8d2dd2

Other Hashes

Crop Resistant:143e683820209494

Scan History

Scan history not available

Unable to load historical scan data