Security Scan Report: www.gcu.edu

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Submitted: Dec 7, 2025, 10:30:35 AMCompleted: Dec 7, 2025, 10:32:06 AMpubliccompleted
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Summary

This website contacted 72 IPs in 2 countries across 24 domains to perform 145 HTTP transactions. The main domain is gcu.edu and was registered NaN years ago.

Submitted URL: https://www.gcu.edu/blog/teaching-school-administration/what-do-teachers-do

The Cisco Umbrella rank of the primary domain is #55,082 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

3
Risk Score

Site appears legitimate; minor form anomalies but no clear phishing indicators.

Risk Factors
Disguised password field may confuse users
Unicode characters used to obfuscate field names
Safety Factors
Domain age > 30 years (well‑established)
Cisco Umbrella ranking within top 100 K
Official university domain (gcu.edu) with visible phone number
No malicious Indicators of Compromise matches found
No payment or credential‑harvesting fields
Domain age information unavailable

Details

Page Title

What Do Teachers Do? | GCU Blog

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(79%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'www.gcu.edu' is registered and includes subdomain 'www'. Count 3 characters in 'gcu' containing 1 vowel alongside two consonants. Breaking it apart gives 2 words: gc, u. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gcu.edu/blog/teaching-school-administration/what-do-teachers-do

Page Load Overview

0.58s
Total Load Time
145
HTTP Requests
24
Domains
1.3 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:19,166 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
79%
education
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57104.17.210.95United States
AS13335CLOUDFLARENET
142.23.244.49Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
14104.18.40.68United States
AS13335CLOUDFLARENET
12104.18.86.42United States
AS13335CLOUDFLARENET
5104.26.2.180United States
AS13335CLOUDFLARENET
515.204.34.179Hillsboro, Oregon, United States
AS16276OVH SAS
5146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
454.156.254.123Ashburn, Virginia, United States
AS14618AMAZON-AES
499.84.149.137United States
AS16509AMAZON-02
4216.58.212.136United States
AS15169GOOGLE
14572--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138B4A76011017B3FA0EF8C9F36A87767B79EA718C45B9C87DDAE439227D9C74CA20614

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TVtZyh8/iOoXseibv+eU6ua52QU4b+takQEEUqv6exbaCRZ7ntoGrfXecVyeqWCk:6+JtNUuO0Ch2uE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500052:YARAiAUgIIkEDc4QAxCGjAPBiVLLBY3JBZCSIABKART2DENNAAY2AvSQQSALomCHDKTeOgEkQsEI4BAgKUATTBqeAAQgDC8H

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:fffff9998f878787
Perceptual Hash:bec9b696196bc094
Difference Hash:693833333c2d2d2d
Wavelet Hash:bdffd98107070705
Color Hash:#79d2cb

Scan History

Scan history not available

Unable to load historical scan data