Security Scan Report: www.aspireseats.com

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Submitted: Completed: publiccompleted
This website contacted 40 IPs in 3 countries across 22 domains to perform 72 HTTP transactions. The main domain is aspireseats.com and was registered 1 year 9 months ago.

Submitted URL: https://www.aspireseats.com/tickets/7984184/marist-red-foxes-vs-columbia-lions-tickets-fri-oct-9-2026-tenney-stadium-at-leonidoff-field

AI Security Verdict

Safe Website

Confidence: 74%

1
Risk Score

Established self-branded ticket-resale marketplace listing with no credential/payment forms, no impersonation, and no Indicators of Compromise, YARA, or IDS hits. Domain unranked, but that is only a weak prior.

Safety Factors (5)
Domain registered over 1 year ago (established)
Self-branding matches the domain; no third-party brand impersonation
No credential or payment form on the page (all credential/payment field counts are zero)
No threat-intelligence, YARA, IDS or JavaScript behavioral hits
Third-party scripts (DoubleClick, Facebook, Clarity, Riskified, jsDelivr, Google APIs) are routine e-commerce/analytics/fraud-prevention resources
Domain age information unavailable

Details

Page Title

Buy Marist Red Foxes vs. Columbia Lions Tickets - October 09, 2026 at Tenney Stadium at Leonidoff Field, Poughkeepsie, NY at 7:00 PM - AspireSeats.com

Scan Type

public

Domain Name Analysis

Domain 'www.aspireseats.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 11 characters in 'aspireseats' with five vowels and 6 consonants. Tokenizing the label suggests two words: aspire, seats. 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.aspireseats.com/tickets/7984184/marist-red-foxes-vs-columbia-lions-tickets-fri-oct-9-2026-tenney-stadium-at-leonidoff-field

Page Load Overview

8.18s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,301 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media72% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
72%
e-commerce shopping
55%
documentation technical
28%
adult content
28%

Detected Features

Search
Products
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3352.23.108.132Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
116.15.228.194Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1142.251.20.97Google · CDNUnited States
AS15169Google LLC
1104.192.29.39United States
AS401471TicketNetwork Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
152.222.206.132Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
113.33.50.9Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
7240--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18CB3F751A9F4157380AFC1C7F7E26B2B7ED65007C657290532FC4FA84F86C49AC8BA26

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4xql1WmQfiPQSD9npHNL3FdfBbD/ufkghYZz56+N0gd:uql1WmQfiPQGMfkNztN0u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:117440:hxBlRMlakSRAcQD1360A5YaKwUpoBrgLAgEgQApAQiFACIgTzUAyBKIyRJEpBoLM0AaAKLRKMQYxQ4ATrSLI0MAAbrVdA8w5

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:00ffefc78787ffcf
Perceptual Hash:b24f4936324f7351
Difference Hash:41901c2c2c2d1c9b
Wavelet Hash:007cc4878787cfcf
Color Hash:#84ac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data