Security Scan Report: www.mclanestadium.com

Submitted: Nov 21, 2025, 3:39:41 AMCompleted: Nov 21, 2025, 3:42:15 AMpubliccompleted
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Summary

This website contacted 30 IPs in 3 countries across 10 domains to perform 58 HTTP transactions. The main domain is mclanestadium.com and was registered NaN years ago.

Submitted URL: https://www.mclanestadium.com/baylor-bears-football-vs-iowa-state-cyclones-football/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age over 12 years (well established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
Page content appears to be a standard informational page about a football game
Domain age information unavailable

Details

Page Title

Baylor Bears Football vs. Iowa State Cyclones Football - McLane Stadium

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(78%)

Domain Information

Domain 'www.mclanestadium.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 13 characters in 'mclanestadium' split between five vowels and 8 consonants. It segments into three words: mc, lane, stadium. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mclanestadium.com/baylor-bears-football-vs-iowa-state-cyclones-football/

Page Load Overview

3.61s
Total Load Time
58
HTTP Requests
10
Domains
2.4 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-US
Text Length:968 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network78% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
78%
technology software
41%
corporate
35%
entertainment media
33%
documentation technical
28%

Detected Features

Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3935.222.132.94Council Bluffs, Iowa, United States
AS396982GOOGLE-CLOUD-PLATFORM
4216.58.206.72United States
AS15169GOOGLE
4142.250.186.110United States
AS15169GOOGLE
3142.250.181.227United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
2104.18.10.207United States
AS13335CLOUDFLARENET
1142.251.140.163United States
AS15169GOOGLE
164.233.184.156United States
AS15169GOOGLE
1216.58.206.42United States
AS15169GOOGLE
1104.18.11.207United States
AS13335CLOUDFLARENET
5830--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128E3B7A3BB5108EE317383B8706A75416319A142D72ED3B4B7BD902C5FCABD494B364E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kszO/UVe/U5hIzNow56U/HFivnzHGzuc7+zbrT56UI8gMTxYZr7ccV0y/fts8bIU:pzO/UVe/U5hIzNow56U/HFivnrGzuc7r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:152673:BuDhGNJQAUFPEpgNJAjW8CpQdFMMRICmwUNAsAFIABCiCAgA9RNQDwS0ACWAAAQBASuQTkcgYQHAwTGCoRqAlCw0GAgQqOHQ

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:000000ff9fffffff
Perceptual Hash:9c4363bcbcc3433c
Difference Hash:9d71f03036306030
Wavelet Hash:0000001c9fffffbf
Color Hash:#93381f

Scan History

Scan history not available

Unable to load historical scan data