ScanMalware.com

Security Scan Report: www.scu.edu

Submitted: Oct 15, 2025, 11:28:39 AMCompleted: Oct 15, 2025, 11:33:23 AMpubliccompleted
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Summary

This website contacted 63 IPs in 4 countries across 16 domains to perform 68 HTTP transactions. The main domain is scu.edu and was registered NaN years ago.

Submitted URL: https://www.scu.edu/government-ethics/resources/what-is-government-ethics/favoritism-cronyism-and-nepotism/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university page with no security concerns.

Safety Factors
Established educational domain (scu.edu)
No suspicious redirects or hidden fields
Content matches the official Markkula Center for Applied Ethics
Domain age information unavailable

Details

Page Title

Favoritism, Cronyism, and Nepotism - Markkula Center for Applied Ethics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(81%)

Domain Information

The domain 'www.scu.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www'. The registrable portion 'scu' spans 3 characters with one vowel and two consonants. Breaking it apart gives 2 words: s, cu. Expect 1.5 characters per word on average. Most frequently, 's' shows up in Romanian. Usage also turns up in Czech and Croatian contexts.

Screenshot

Security scan screenshot of https://www.scu.edu/government-ethics/resources/what-is-government-ethics/favoritism-cronyism-and-nepotism/

Page Load Overview

6.57s
Total Load Time
68
HTTP Requests
16
Domains
1.7 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:9,310 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
81%
education
45%
adult content
37%
news media journalism
32%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21104.18.40.68United States
AS13335CLOUDFLARENET
1118.173.205.122United States
AS16509AMAZON-02
934.120.151.59Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
934.107.151.86Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3104.16.41.28United States
AS13335CLOUDFLARENET
22.16.172.200Warsaw, Mazovia, Poland
AS20940Akamai International B.V.
2216.239.32.36United States
AS15169GOOGLE
2216.58.206.40United States
AS15169GOOGLE
252.59.3.202Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2142.250.186.78United States
AS15169GOOGLE
6863--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D323F873F150003F8E6B73E8FE687738F087401ED6919224B2FE825E23D9ED4655AA59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:oT3ROMnCUxZBqgeQiete/efeAUjQ/cvmBDZ98AOcKBx:QIMnC4PeQiete/efeeEvE38AOcS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47804:XUiVAJMBkEihAggMRACkUABiMEsQKJKABA44gIQbAEFkDYJA0QBMc2eA8JEQRZtHFE/CyZUTPZsQekkqIiARwgEQGIgASKFA

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:ff0000ffdfdfcfcf
Perceptual Hash:bc4fcf9de4e04160
Difference Hash:006099203f321e1e
Wavelet Hash:ff0000d7c7cf83c3
Color Hash:#931f5d

Other Hashes

Crop Resistant:006099203f321e1e,010107d1d1d10721

Scan History

Scan history not available

Unable to load historical scan data