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Security Scan Report: millikin.edu

Submitted: Dec 11, 2025, 3:48:36 AMCompleted: Dec 11, 2025, 3:49:30 AMpubliccompleted
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Summary

This website contacted 46 IPs in 5 countries across 11 domains to perform 37 HTTP transactions. The main domain is millikin.edu.

Submitted URL: https://millikin.edu/taxonomy/term/2598

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears to be a legitimate university page with no security concerns.

Safety Factors
Official university domain (millikin.edu)
Consistent branding and legitimate page content
Domain age information unavailable

Details

Page Title

Jeff Monken | Millikin University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(73%)

Domain Information

The domain 'millikin.edu' uses the sponsored educational top-level domain (.edu) without a subdomain. Count 8 characters in 'millikin' with 3 vowels and 5 consonants. Breaking it apart gives 2 words: milli, kin. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://millikin.edu/taxonomy/term/2598

Page Load Overview

19.62s
Total Load Time
37
HTTP Requests
11
Domains
622 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:2,457 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
73%
government public service
70%
education learning
47%
education
45%
documentation technical
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3723.185.0.3United States
AS54113FASTLY
054.243.215.204Ashburn, Virginia, United States
AS14618AMAZON-AES
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
087.248.119.251United Kingdom
AS203220Yahoo-UK Limited
0142.250.184.206United States
AS15169GOOGLE
087.248.119.252United Kingdom
AS203220Yahoo-UK Limited
054.87.39.67Ashburn, Virginia, United States
AS14618AMAZON-AES
0142.250.185.232United States
AS15169GOOGLE
074.125.71.157United States
AS15169GOOGLE
052.217.122.104Ashburn, Virginia, United States
AS16509AMAZON-02
3746--

Detected Technologies9

MetaGenerator
100%
Google-AnalyticsvUniversal
100%
Drupalv10
80%
PHP
50%
Nginx
50%
MariaDB
50%
Fastly
50%
Pantheon
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143433B5161F03433C04392C676696735E9E6A483E30D6485B1FC37299FE7E229FA362E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:iK69STI19gzIinT8yZ1NEJr97zZOuyzz84sjXN6Pj+0NPznDU4twb5SHr3KBlFEh:iK69kR1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57064:LTIKCUaqoIgjoKIhqhhfLEiQSjUZNI24ACEakOLRogCjIHIJPwMkAQAwDzERsFz0uwhFkBXJABLkFBIIAMEVZUABQ0Ahr96Q

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:ffffffcfcfff0000
Perceptual Hash:b8b6478638b6c713
Difference Hash:6f18189e1e1061b2
Wavelet Hash:a3ffcfc3c3cf0000
Color Hash:#35931f

Other Hashes

Crop Resistant:6f18189e1e1061b2,353373736268e1f0,00104db2b2f2920c

Scan History

Scan history not available

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