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Security Scan Report: www.wgu.edu

Submitted: Oct 25, 2025, 8:11:14 AMCompleted: Oct 25, 2025, 8:15:15 AMpubliccompleted
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Summary

This website contacted 205 IPs in 6 countries across 78 domains to perform 467 HTTP transactions. The main domain is wgu.edu and was registered NaN years ago.

Submitted URL: https://www.wgu.edu/career-guide/business/cfo-career.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official .edu domain
Long‑standing registration date
Standard informational website with only search and informational forms
Domain age information unavailable

Details

Page Title

How to Become a Chief Financial Officer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(72%)

Domain Information

The domain 'www.wgu.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'www'. Its registrable label 'wgu' stretches across 3 characters containing one vowel alongside 2 consonants. It segments into two words: w, gu. Average segment length settles at 1.5 characters. 'w' most often appears in Polish. It also appears in Basque and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://www.wgu.edu/career-guide/business/cfo-career.html

Page Load Overview

7.59s
Total Load Time
467
HTTP Requests
78
Domains
7.6 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:23,534 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
72%
education
45%
education learning
40%

Detected Features

Search
OG: Article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
151146.75.123.52Frankfurt am Main, Hesse, Germany
AS54113FASTLY
593.124.254.220Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
4023.35.236.237Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
113.227.190.204Ashburn, Virginia, United States
AS14618AMAZON-AES
92.19.120.73Düsseldorf, North Rhine-Westphalia, Germany
AS20940Akamai International B.V.
934.107.218.251Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
9104.18.86.42United States
AS13335CLOUDFLARENET
752.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6160.8.189.13London, England, United Kingdom
AS14340SALESFORCE
6160.8.186.31London, England, United Kingdom
AS14340SALESFORCE
467205--

Detected Technologies6

Java
50%
Adobe Experience Manager
45%
HTTP/3
40%
HSTS
40%
Typekit
30%
Adobe Fonts
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17614C813A640257621E74CCDF67A7BBFA1618D2BD91634A1C9E1F34B27C0EC3A92271D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UfOOGFDITl2CXeACoxpCGrPgDevwUF9nrIiuXs2alJoSbtv+UCDaXZFDqleA0A18:UV4fa0Xs27SoMdYQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194543:YooFMSQ4kBAGThSEEzSD1pREgQEagWKcFCik9zSATqIi4BBM6iCQIBKJiQgsiAxAAAwQvYjQA4UEI2JKYGAhBBwpCSeoFs8p

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

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