Security Scan Report: southcentral.edu

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Submitted: Dec 6, 2025, 2:54:46 PMCompleted: Dec 6, 2025, 2:55:58 PMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 6 domains to perform 45 HTTP transactions. The main domain is southcentral.edu and was registered NaN years ago.

Submitted URL: https://southcentral.edu/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate college website with no security concerns

Safety Factors
Established domain (>20 years old)
Visible physical address and contact information
Official college branding and affiliation with Minnesota State System
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

South Central College Home Page

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'southcentral.edu' uses the sponsored educational top-level domain (.edu). Its registrable label 'southcentral' stretches across 12 characters split between 4 vowels and 8 consonants. It segments into one word: southcentral. The median word length lands at 12 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://southcentral.edu/

Page Load Overview

10.57s
Total Load Time
45
HTTP Requests
6
Domains
1.4 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-gb
Text Length:2,816 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
other
25%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30134.29.223.8New Ulm, Minnesota, United States
AS675MSUS-AS
8104.17.25.14United States
AS13335CLOUDFLARENET
3142.250.185.100United States
AS15169GOOGLE
3104.17.24.14United States
AS13335CLOUDFLARENET
32a00:1450:4001:813::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:80f::2004Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:400a:1009::5fZurich, Zurich, Switzerland
AS15169GOOGLE
32606:4700::6811:190eUnited States
AS13335CLOUDFLARENET
32606:4700::6811:180eUnited States
AS13335CLOUDFLARENET
32a00:1450:4001:81c::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
4513--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F931B15F291123A0AD7A1D970A65B4EF3F2824FF5450C01BCACC7D02F86E96B65FA39

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:AbDCm0+iV3GZM7e0+mOg52g0+8W3MX0+n4Rxed0+96GR7z+dO5LTAwG0jmeg/1H3:GDnpKS3YSTw+g/Z55

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:88909:vgFGABKGYgKECB2IIYjgZ2Q0hQnAAIBiY1kAo5Mj1gKCI/VaAAxMDIRiGCUSIAKCgRFIehYQQH0CABg0A8UAYQkaGlMAgU/I

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:8181a1bbbbe7c381
Perceptual Hash:af0f7a308d78c26a
Difference Hash:0d754b53560f1f05
Wavelet Hash:8181a9bbabe7c3c1
Color Hash:#64d22d

Scan History

Scan history not available

Unable to load historical scan data