ScanMalware.com

Security Scan Report: www.captechu.edu

Submitted: Nov 4, 2025, 10:06:29 AMCompleted: Nov 4, 2025, 10:07:23 AMpubliccompleted
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Summary

This website contacted 49 IPs in 3 countries across 17 domains to perform 68 HTTP transactions. The main domain is captechu.edu and was registered NaN years ago.

Submitted URL: https://www.captechu.edu/blog/how-cybersecurity-professionals-defend-the-new-digital-battlefield

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established university domain
Only standard search forms present
Content aligns with legitimate institutional branding
Domain age information unavailable

Details

Page Title

Nation-State Cyber Warfare: How Cybersecurity Professionals Defend the New Digital Battlefield | Washington D.C. & Maryland Area | Capitol Technology University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(55%)

Domain Information

The domain 'www.captechu.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'www'. The second-level label 'captechu' is 8 characters long with 3 vowels and 5 consonants. Word splitting yields three words: cap, tech, u. Expect three characters per word on average. 'cap' most strongly signals Bosnian. Secondary signals appear in Croatian and Serbian.

Screenshot

Security scan screenshot of https://www.captechu.edu/blog/how-cybersecurity-professionals-defend-the-new-digital-battlefield

Page Load Overview

11.78s
Total Load Time
68
HTTP Requests
17
Domains
1.2 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:8,223 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
55%
documentation technical
49%
education
45%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1216.58.206.40United States
AS15169GOOGLE
1216.239.34.36United States
AS15169GOOGLE
1142.250.185.99United States
AS15169GOOGLE
166.102.1.157United States
AS15169GOOGLE
152.202.242.122Ashburn, Virginia, United States
AS14618AMAZON-AES
152.3.71.54Ashburn, Virginia, United States
AS14618AMAZON-AES
1104.17.25.14United States
AS13335CLOUDFLARENET
134.168.224.78The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
1216.239.32.36United States
AS15169GOOGLE
6849--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6431C23279C2436123382C97522A35DD02B68B3E6150599F0FF4B38A7C7C95492FBAF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YkvFj0qnA7ftefO0n/XwsZhKdn6h6yc6Rz9UnTiNPgTcQwTa7CALJpRACUP0zx1r:Y+bJROABl9KctE/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55387:o3BCu7RgMTRkAEZhBcyOhQLEIk0gMNozQARCVICAiOFFSQqIAsIQCt3ITEhQOJTIpABEIHGpxQaghHZJQeJuzACogggAAQsV

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:609e9fff8383819f
Perceptual Hash:bd515561d161157d
Difference Hash:c2723a632727232b
Wavelet Hash:603e83ff8381839f
Color Hash:#93441f

Other Hashes

Crop Resistant:c2723a632727232b

Scan History

Scan history not available

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