Security Scan Report: www.bagley.msstate.edu

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Submitted: Nov 27, 2025, 3:55:34 PMCompleted: Nov 27, 2025, 3:58:45 PMpubliccompleted
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Summary

This website contacted 44 IPs in 2 countries across 9 domains to perform 82 HTTP transactions. The main domain is bagley.msstate.edu and was registered NaN years ago.

Submitted URL: https://www.bagley.msstate.edu/news/mississippi-state-university-esports-team-claims-second-consecutive-egg-bowl-win/

The Cisco Umbrella rank of the primary domain is #139,536 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official university domain
Content appears to be a news article about the university's esports team
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Mississippi State University Esports team claims second consecutive Egg Bowl win | Bagley College of Engineering

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(57%)

Domain Information

Domain 'www.bagley.msstate.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www.bagley'. The registrable portion 'msstate' spans 7 characters split between two vowels and five consonants. Tokenizing the label suggests two words: ms, state. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bagley.msstate.edu/news/mississippi-state-university-esports-team-claims-second-consecutive-egg-bowl-win/

Page Load Overview

3.85s
Total Load Time
82
HTTP Requests
9
Domains
616 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-US
Text Length:6,226 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning57% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
57%
education
45%
news/blog
35%
corporate
35%
documentation technical
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33130.18.16.100Starkville, Mississippi, United States
AS10546MSSTATE
3299.84.152.119United States
AS16509AMAZON-02
6142.250.185.131United States
AS15169GOOGLE
2142.250.186.74United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
2172.217.18.14United States
AS15169GOOGLE
23.222.182.117Ashburn, Virginia, United States
AS14618AMAZON-AES
13.232.173.217Ashburn, Virginia, United States
AS14618AMAZON-AES
1216.58.206.72United States
AS15169GOOGLE
199.84.152.16United States
AS16509AMAZON-02
8244--

Detected Technologies7

JQueryv1.12.4
100%
100%
Bootstrapv3.3.7
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16EB3A4E74D88743E566672C0206DB324A6E3920ECF005EB1B3FD525CB395FA175AE31A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tH1nVo+KYcHQZY+0Amr/Q9VbLdi7YgBWtQ:tH1iQh0r6Va

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:108197:FAgxgMQ6MhaEICgDUIpQV0G+IRBSADgQ0sgSmRAGPAlVJ06lphAhiyjCA4EhRJBCoDLYxxhBmS1QMgCYc2QsAEBQBoD0oKsC

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:000000fffffff9f8
Perceptual Hash:ea374cb5cacc1a4a
Difference Hash:c7c6f1437b705551
Wavelet Hash:000000ffbffff8f0
Color Hash:#2d82d2

Scan History

Scan history not available

Unable to load historical scan data