Security Scan Report: seatgeek.ca

Submitted: Nov 16, 2025, 10:23:58 AMCompleted: Nov 16, 2025, 10:25:21 AMpubliccompleted
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Summary

This website contacted 22 IPs in 0 countries across 4 domains to perform 14 HTTP transactions. The main domain is seatgeek.ca and was registered NaN years ago.

Submitted URL: https://seatgeek.ca/john-mulaney-tickets/comedy/2026-01-11-7-pm/17904395

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate; only a bot verification page is shown.

Safety Factors
Well‑established domain with minimal reputation risk
No suspicious forms or data collection
Page only displays a bot verification message
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

seatgeek.ca

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'seatgeek.ca' uses the Canadian country-code top-level domain (.ca). Its registrable label 'seatgeek' stretches across 8 characters split between four vowels and 4 consonants. Splitting it apart reveals 2 words: seat, geek. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://seatgeek.ca/john-mulaney-tickets/comedy/2026-01-11-7-pm/17904395

Page Load Overview

38.52s
Total Load Time
14
HTTP Requests
4
Domains
310 KB
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
Text Length:11 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1413.32.99.128UnknownUnknown
0151.101.193.55UnknownUnknown
0151.101.1.55UnknownUnknown
018.66.147.8UnknownUnknown
013.32.99.89UnknownUnknown
03.78.137.250UnknownUnknown
013.32.99.78UnknownUnknown
0151.101.65.55UnknownUnknown
02600:9000:2251:a00:7:c516:5a80:93a1UnknownUnknown
0151.101.129.55UnknownUnknown
1422--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A32152775645472C4B3A0235F8F2F2CC0F225586F5A28A70F1E46BA9D5C66B26C81A64

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nLJHtV8doDblCZ5dNqwCSuPbbr5dh9quuZl2RV3bJQwa3quu8erZzbRv5wts:n5X8q05GftXfhX02fJQx9l6j+q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1439:AAAAAABAAAACAAQgAwAAhAIAAUAAAAAAAQBAAAAAAIEIAQEAAAEAAAAAAAQAAAAAAEAAJAAAAAQAAABAAAAAAAAIQAQAACgF

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:fff31313ff3fffff
Perceptual Hash:ed6d9292920c6d6d
Difference Hash:8856766684494960
Wavelet Hash:ff000000732dffbf
Color Hash:#8ebf40

Other Hashes

Crop Resistant:8856766684494960

Scan History

Scan history not available

Unable to load historical scan data