Summary
This website contacted 12 IPs in 2 countries across 4 domains to perform 45 HTTP transactions. The main domain is checkout.ticketmaster.no and was registered NaN years ago.
Submitted URL: https://checkout.ticketmaster.no/
The Cisco Umbrella rank of the primary domain is #657,165 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no detected threats.
Safety Factors
Details
Page Title
Let's Get Your Identity Verified
Scan Type
public
Language
English
Category
technology software
(68%)Domain Information
Domain 'checkout.ticketmaster.no' uses the Norwegian country-code top-level domain (.no); it also runs on subdomain 'checkout'. Its registrable label 'ticketmaster' stretches across 12 characters with four vowels and 8 consonants. Word splitting yields 2 words: ticket, master. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 24 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 10 | 146.75.121.237 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 9 | 172.217.18.8 | United States | AS15169GOOGLE |
| 3 | 142.250.185.232 | United States | AS15169GOOGLE |
| 3 | 172.64.155.119 | United States | AS13335CLOUDFLARENET |
| 3 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 3 | 2a06:98c1:3104::6812:2089 | United States | AS13335CLOUDFLARENET |
| 3 | 2a00:1450:4001:82a::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2606:4700::6812:572a | United States | AS13335CLOUDFLARENET |
| 3 | 2606:4700::6812:562a | United States | AS13335CLOUDFLARENET |
| 45 | 12 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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