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Security Scan Report: www.acenet.edu

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Submitted: Jan 5, 2026, 10:33:56 PMCompleted: Jan 5, 2026, 10:36:24 PMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 10 domains to perform 124 HTTP transactions. The main domain is acenet.edu and was registered NaN years ago.

Submitted URL: https://www.acenet.edu/National-Guide/Pages/Organization.aspx?oid=38efc4be-73c4-ea11-a812-000d3a33232a

The Cisco Umbrella rank of the primary domain is #591,497 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

Informational directory page; low risk but brand mismatch noted

Risk Factors
Brand name (University of Phoenix) displayed on a non‑official domain (acenet.edu) with a low Cisco Umbrella ranking
Safety Factors
Well‑established domain age
Standard hosting without suspicious storage services
No forms collecting passwords, emails, or payment data
No noindex meta tags indicating hidden content
Domain age information unavailable

Details

Page Title

University of Phoenix

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(45%)

Domain Information

The domain 'www.acenet.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. The core label 'acenet' covers 6 characters containing three vowels alongside three consonants. It segments into 2 words: ace, net. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.acenet.edu/National-Guide/Pages/Organization.aspx?oid=38efc4be-73c4-ea11-a812-000d3a33232a

Page Load Overview

95.22s
Total Load Time
124
HTTP Requests
10
Domains
6.0 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-US
Text Length:18,644 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software45% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
45%
education
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14184.86.103.212Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11216.58.209.164United States
AS15169GOOGLE
1195.101.74.199Schiphol, North Holland, Netherlands
AS20940Akamai International B.V.
1152.72.206.33Ashburn, Virginia, United States
AS14618AMAZON-AES
11216.239.34.36United States
AS15169GOOGLE
11216.58.209.168United States
AS15169GOOGLE
1123.46.67.182Schiphol, North Holland, Netherlands
AS16625AKAMAI-AS
11150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
11216.58.210.131United States
AS15169GOOGLE
11216.239.32.36United States
AS15169GOOGLE
12411--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EFB42C267E922EAE0BEAD5B201EDE7D7476D43C114409099EB23D75C0EE5E02E8E41F7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:UhFAJibhRtsZ95c1XEpvcXaWS5za6lAhN4:UhFAJiTt+9W1WcXaWS5zfQN4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500031:gISSAHITmERfCYyAJCgAMmQRkGSQHgioWAxHCmPyDCHACkKjJktwUHEEDCFBuzLJQAGQSZ8ACAABYwLlNjGYvhYZgIQwAFSY

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:0000ffbf8f8fffff
Perceptual Hash:bf0f413300df96cc
Difference Hash:654b602c2c2c4ee3
Wavelet Hash:0000bf878787ff3b
Color Hash:#d28279

Other Hashes

Crop Resistant:6b23602c2c2c46c3,0002011616060902

Scan History

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