Security Scan Report: tickets.jonesbeach.com

Site favicon
Submitted: Completed: publiccompleted
This website contacted 49 IPs in 2 countries across 25 domains to perform 79 HTTP transactions. The main domain is jonesbeach.com and was registered 30 years ago.

Submitted URL: https://tickets.jonesbeach.com/results-ticket?evtid=8138676&event=Chicago+Blackhawks+vs.+Carolina+Hurricanes

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Established ticket resale marketplace with standard search/contact forms, no credential/payment collection, and no threat-intel, YARA, or IDS hits. Treat as legitimate; normal resale pricing caveats apply.

Safety Factors (5)
Established domain with long registration history
No credential or payment collection on the scanned page
No Indicators of Compromise against the page or loaded resources
Standard third-party services (Google Analytics, Affirm, Riskified) with reputation
Clear consumer disclosure about resale pricing and refund policy
Domain age information unavailable

Details

Page Title

Chicago Blackhawks vs. Carolina Hurricanes, SatSaturday Oct 10, 2026 6:00PM6:00PM, Northwell at Jones Beach Theater Tickets

Scan Type

public

Domain Name Analysis

The domain 'tickets.jonesbeach.com' uses the commercial generic top-level domain (.com) and includes subdomain 'tickets'. The registrable portion 'jonesbeach' spans 10 characters with 4 vowels and 6 consonants. Segmentation suggests 2 words: jones, beach. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tickets.jonesbeach.com/results-ticket?evtid=8138676&event=Chicago+Blackhawks+vs.+Carolina+Hurricanes

Page Load Overview

3.95s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Text Length:10,134 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media78% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
78%
government public service
67%
adult content
64%
e-commerce shopping
57%
corporate business
54%

Detected Features

Search
Products
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3152.23.108.132Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
152.217.196.112Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
1104.192.29.39United States
AS401471TicketNetwork Inc.
1142.250.154.101Google · CDNUnited States
AS15169Google LLC
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
152.222.206.99Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7949--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125E4531CA72415E65D1B43D69DF37122B4AF02CF8A258248E2E84FB4F714EBCBDD9819

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dqmQxb33jXffEaCwyGlxOOikoztLDHhviDJ7zPbkb2u2VUiNrtPb8TzGdbJpkf:ETXffENgxSkoztLDHhvzF2mPGdbJpC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:716102:EK5gXSiyYBjAFUA0ugxCiORALAwA2FIYAYFrIBJEXiBAgYUBlYEHiSYGUxDlElmJ1BGZMAALBgFUwTNyRMEAAiMAaHQJxABF

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:00fff3e1e1e1e3f3
Perceptual Hash:ef191d1b19191d4d
Difference Hash:1b26674b4b474767
Wavelet Hash:00f3a3e1e1e1e1f3
Color Hash:#71bf40

Scan History

Scan history not available

Unable to load historical scan data