Security Scan Report: bricktowntulsa-com.seatengine.com

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Submitted: Oct 31, 2025, 1:00:22 PMCompleted: Oct 31, 2025, 1:02:07 PMpubliccompleted
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Summary

This website contacted 74 IPs in 6 countries across 23 domains to perform 68 HTTP transactions. The main domain is bricktowntulsa-com.seatengine.com and was registered NaN years ago.

Submitted URL: https://bricktowntulsa-com.seatengine.com/shows/315511

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate ticketing page with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Standard hosting environment
Legitimate brand representation
Domain age information unavailable

Details

Page Title

Bricktown Comedy Club Tulsa | Craig Robinson

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'bricktowntulsa-com.seatengine.com' uses the commercial generic top-level domain (.com), featuring subdomain 'bricktowntulsa-com'. The core label 'seatengine' covers 10 characters containing 5 vowels alongside 5 consonants. Tokenizing the label suggests two words: seat, engine. Median word length comes out to five characters. Most frequently, 'seat' shows up in English. You will also see it in Chinese (Pinyin) and Sinhala contexts. Net impression: English phrase.

Screenshot

Security scan screenshot of https://bricktowntulsa-com.seatengine.com/shows/315511

Page Load Overview

44.65s
Total Load Time
68
HTTP Requests
23
Domains
3.1 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
Text Length:3,690 chars
Detector Agreement:75%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6823.36.162.25Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
016.182.35.88Ashburn, Virginia, United States
AS16509AMAZON-02
018.245.46.78United States
AS16509AMAZON-02
02.17.113.139Manchester, England, United Kingdom
AS20940Akamai International B.V.
052.222.236.7United States
AS16509AMAZON-02
0142.250.186.100United States
AS15169GOOGLE
0216.239.34.36United States
AS15169GOOGLE
023.50.131.153Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
052.222.136.12United States
AS16509AMAZON-02
0104.17.31.174United States
AS13335CLOUDFLARENET
6874--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192B229A2ACE4503B019353A1BA35778FBB62500FE5065D55B9EC8B58BFC3ED78C03A09

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:QxsRm92tTLLvoy48PVfKdmW/b4E0ZHdm8/b4+uIoVY8p6UkC78V27ou7wH:QxsRm9mlvPhWsM8nYYs6RCgV27ou7Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25598:GEBAWCSRSkABKwCC4KkxwDQQwAxBqE0JcCeiYKQz5EkASQJAyMVMhDHUBIAciahEVAC6gFhMESiAALAOItSAKFoUBMFSCoDp

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:ff808833361e1600
Perceptual Hash:96e9e996e98292c9
Difference Hash:e13439e7ed6cecc3
Wavelet Hash:ff8298f7351e1e00
Color Hash:#ae87c5

Scan History

Scan history not available

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