Security Scan Report: scholars.georgiasouthern.edu

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Submitted: Jan 1, 2026, 4:12:25 PMCompleted: Jan 1, 2026, 4:13:45 PMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 7 domains to perform 51 HTTP transactions. The main domain is scholars.georgiasouthern.edu and was registered NaN years ago.

Submitted URL: https://scholars.georgiasouthern.edu/en/persons/jason-beck/

The Cisco Umbrella rank of the primary domain is #252,156 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university profile page with no security concerns.

Safety Factors
Established university domain
No forms collecting sensitive data
Content appears to be a legitimate faculty profile
Domain age information unavailable

Details

Page Title

Jason Beck - Georgia Southern University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'scholars.georgiasouthern.edu' is registered; it also runs on subdomain 'scholars'. Its registrable label 'georgiasouthern' stretches across 15 characters containing seven vowels alongside eight consonants. Splitting it apart reveals 2 words: georgia, southern. Median word length comes out to 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://scholars.georgiasouthern.edu/en/persons/jason-beck/

Page Load Overview

6.68s
Total Load Time
48
HTTP Requests
10
Domains
147 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
Text Length:5,218 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: static
Method: ml+structural

All Detected Categories

education
45%
adult content
37%
social_media
30%

Detected Features

Search
OG: profile

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
818.66.112.68Ireland
463.140.62.236United States
AS16509AMAZON-02
465.9.175.96United States
AS16509AMAZON-02
465.9.175.84United States
AS16509AMAZON-02
4104.20.34.209United States
AS13335CLOUDFLARENET
4172.66.151.121United States
AS13335CLOUDFLARENET
4104.18.39.240United States
AS13335CLOUDFLARENET
452.16.129.226UnknownUnknown
454.216.209.47UnknownUnknown
423.52.181.12Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
4811--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4A45DF023A0D4E3A59B81E6B5D14A183476207FFACA1048F5CD679B2FAAC905E0DDD7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:rXgLGLreZeAenieB8eBTeBmeBweBkeercDd10OVtEWc0uVLyWDO0UFa73eAWujRK:r/reCTYgc01kanPW8AemApXg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:493018:ciTkElKTBWQcocIKiiEoUWNIAgCkcEShJ5EhFBBNiZQKKAwnLKRwEEADLCASaBRANJICCX4c4PBAMyWkNgGIagKFTQQGkKfE

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:00ffdfffffffffdf
Perceptual Hash:bc473a4355632e27
Difference Hash:c432330a2a201834
Wavelet Hash:008e898886ffcf9f
Color Hash:#6cb3e0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data