Security Scan Report: gobison.com

Submitted: Oct 12, 2025, 8:54:24 AMCompleted: Oct 12, 2025, 8:57:36 AMpubliccompleted
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Summary

This website contacted 192 IPs in 3 countries across 63 domains to perform 211 HTTP transactions. The main domain is gobison.com.

Submitted URL: https://gobison.com/sports/football/schedule/2025

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university football schedule page.

Safety Factors
Official university domain (gobison.com)
Consistent branding with NDSU athletics
No suspicious external links or redirects
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

2025 Football Schedule - NDSU

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(68%)

Domain Information

The domain 'gobison.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'gobison' spans 7 characters split between 3 vowels and four consonants. It segments into two words: go, bison. The median word length lands at 3.5 characters. Most frequently, 'go' shows up in Chinese (Pinyin). You will also see it in English and Indonesian contexts.

Screenshot

Security scan screenshot of https://gobison.com/sports/football/schedule/2025

Page Load Overview

7.07s
Total Load Time
211
HTTP Requests
63
Domains
1.9 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:2,020 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical68% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
68%
government public service
53%
e-commerce shopping
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3618.66.122.68United States
AS16509AMAZON-02
2013.32.27.78New York, New York, United States
AS16509AMAZON-02
1345.223.113.204United States
AS19551INCAPSULA
12104.17.25.14United States
AS13335CLOUDFLARENET
73.171.214.61United States
AS16509AMAZON-02
6142.250.184.200United States
AS15169GOOGLE
554.192.87.70United States
AS16509AMAZON-02
5172.64.147.18United States
AS13335CLOUDFLARENET
5142.250.185.174United States
AS15169GOOGLE
4174.143.40.29United States
AS33070RMH-14
211192--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153B41388EA62553B40EF73BF6B7940583173954399083D0A798CBB843FE0B1D9AD5F1A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dSudLq+/iYcPdAmy1oC2bdvxZW9lHTdC62FIWI5ad/uKbNQEEdLaGb5xLfdiokbh:U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500000:oAIQcBIQ0IYSgCoBVyDApGIEqvgsAULTIIjBQBAAIMzRICxbEJDBIZQHAFZBcGjBCREQC0yVeFgEJmAEICAJIgCVAo5CkkmA

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:ff00c3f7c3ffffbf
Perceptual Hash:a5401bb0e68fbdb1
Difference Hash:80a116270f1f4b6b
Wavelet Hash:ff008391c3ff8781
Color Hash:#2d77d2

Scan History

Scan history not available

Unable to load historical scan data