Security Scan Report: gliac.org

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Submitted: Dec 10, 2025, 4:10:02 PMCompleted: Dec 10, 2025, 4:11:39 PMpubliccompleted
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Summary

This website contacted 98 IPs in 5 countries across 25 domains to perform 108 HTTP transactions. The main domain is gliac.org and was registered NaN years ago.

Submitted URL: https://gliac.org/boxscore.aspx?id=7ltyipP022aUJKmSgYVs3wXi7up73ghniwD5ElWyd07J7BNseBaMQePf0fY%2F3yUPNnn7zwbSo52LpusnJ3OwQGbuuZbhdqVtBruLIfCLTRbQ5j6lBuVVCc0JTEUt7WEjNdWDDSSVT88oMG0kImiGTa%2B43JFV4krVZ6u%2FHokwtgI%3D&path=wbball

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Content is a public sports box score
No credential‑harvesting or payment collection elements
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by imperva bot protection. Our scanner was challenged or blocked during access.

Page Title

Tiffin vs Wayne State - Women's Basketball - 12/9/2025 - Box Score - Great Lakes Intercollegiate Conference

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(63%)

Domain Information

Domain 'gliac.org' uses the non-profit oriented generic top-level domain (.org) and has no subdomain. The core label 'gliac' covers 5 characters holding two vowels versus three consonants. Splitting it apart reveals 2 words: glia, c. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gliac.org/boxscore.aspx?id=7ltyipP022aUJKmSgYVs3wXi7up73ghniwD5ElWyd07J7BNseBaMQePf0fY%2F3yUPNnn7zwbSo52LpusnJ3OwQGbuuZbhdqVtBruLIfCLTRbQ5j6lBuVVCc0JTEUt7WEjNdWDDSSVT88oMG0kImiGTa%2B43JFV4krVZ6u%2FHokwtgI%3D&path=wbball

Page Load Overview

44.32s
Total Load Time
108
HTTP Requests
25
Domains
2.7 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:2,502 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media63% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
63%
technology software
57%
social media network
55%
adult content
52%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.250.185.194United States
AS15169GOOGLE
1172.64.147.18United States
AS13335CLOUDFLARENET
145.223.124.109United States
AS19551INCAPSULA
1104.17.24.14United States
AS13335CLOUDFLARENET
1172.217.18.2United States
AS15169GOOGLE
1142.250.185.98United States
AS15169GOOGLE
152.217.141.160Ashburn, Virginia, United States
AS16509AMAZON-02
1142.250.185.232United States
AS15169GOOGLE
118.66.112.54United StatesUnknown
1178.250.1.39France
AS44788Criteo Technology SAS
10898--

Detected Technologies3

100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T113B40384E572453B40EF737F567A80A930738543A9082D0A798CBB457FE1B1DA9D2F2B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:71p+RZ7UALhUO4AUMQ1wI7J3Tnw7eozWtrWqmbXycZ4nyjWcsuFBklj7Zq8XOsN/:71c/QKCTNhigH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500000:AgJjJ2ghRqQUMKhARagghAAAiJSoBARGBgCSxBAKQWuDWgN0GLgBBgXMLkjBFJPwKAIWFISRUIBExk7QYJ1IIGBQicpQQU4B

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:0000ffffffffefff
Perceptual Hash:bb4c1288ecb3cea3
Difference Hash:33b04f17435b5b4f
Wavelet Hash:000000cbbbffe7ef
Color Hash:#2d8186

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data