Security Scan Report: ccgit.crown.edu

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Submitted: Feb 20, 2026, 2:28:57 PMCompleted: Feb 20, 2026, 2:30:08 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ccgit.crown.edu and was registered NaN years ago.

Submitted URL: https://ccgit.crown.edu/cyber-reels/pce-report-understanding-economic-trends-1764798066

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (crown.edu) with long registration history
No forms collecting sensitive data
No malicious Indicators of Compromise detected
No malicious JavaScript behavior observed
Meta tags correctly reference Crown brand only
Domain age information unavailable

Details

Page Title

ccgit.crown.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'ccgit.crown.edu' is registered and includes subdomain 'ccgit'. The core label 'crown' covers 5 characters holding one vowel versus four consonants. Splitting it apart reveals one word: crown. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ccgit.crown.edu/cyber-reels/pce-report-understanding-economic-trends-1764798066

Page Load Overview

1.29s
Total Load Time
18
HTTP Requests
8
Domains
604 KB
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:11,907 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%
news/blog
90%
corporate
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18142.93.67.4Clifton, New Jersey, United States
AS14061DigitalOcean, LLC
181--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:QfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz+2bMy8OldM:bhoC9JSqzzbs6o3Sj3gcrs62eAy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184655:AQQYBIoIFioAyB0YgxBEkYYxYjcLWixAKZAaiZBLfKc/ABDEgRiIDB1mwACBj1GLgFAIUUAhgCBMQBw0CSxQgZAyNKLmigIl

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:3c1c00040f0f0f0f
Color Hash:#ae2dd2

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data