Security Scan Report: scholarships.charlotte.edu

Submitted: Oct 30, 2025, 9:16:31 PMCompleted: Oct 30, 2025, 9:19:35 PMpubliccompleted
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Summary

This website contacted 31 IPs in 2 countries across 11 domains to perform 76 HTTP transactions. The main domain is scholarships.charlotte.edu and was registered NaN years ago.

Submitted URL: https://scholarships.charlotte.edu/directory/mark-walter/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university scholarship page with no security concerns.

Safety Factors
Official university subdomain (charlotte.edu)
Established domain age
Only standard search forms present
Domain age information unavailable

Details

Page Title

Mark Walter - University Scholarship Office

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'scholarships.charlotte.edu' is registered; it also runs on subdomain 'scholarships'. The core label 'charlotte' covers 9 characters split between three vowels and six consonants. Segmentation suggests 1 word: charlotte. Median word length comes out to 9 characters. 'charlotte' most strongly signals Afrikaans. Secondary signals appear in Danish and German.

Screenshot

Security scan screenshot of https://scholarships.charlotte.edu/directory/mark-walter/

Page Load Overview

2.76s
Total Load Time
76
HTTP Requests
11
Domains
2.0 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
Text Length:2,432 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
government public service
29%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46152.15.38.65United States
AS53384UNCC-AS
1123.209.188.17Marietta, Georgia, United States
AS20940Akamai International B.V.
6216.239.32.36United States
AS15169GOOGLE
4142.250.185.104United States
AS15169GOOGLE
2108.138.7.123United States
AS16509AMAZON-02
2216.239.34.36United States
AS15169GOOGLE
2142.250.185.238United States
AS15169GOOGLE
2104.21.27.152United States
AS13335CLOUDFLARENET
234.198.122.35Ashburn, Virginia, United States
AS14618AMAZON-AES
2108.138.7.87United States
AS16509AMAZON-02
7631--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9A33AF354A05A3A09079FD7D69D769CEAB48853CA0057A572BD210C5FC6FF902A331E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:a8BTk9gdwhkesGmssCVBETYoAZkGlh1fLTN4D4cv:vrCvxpA/v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103331:T0QWA2ABNAEBAUgy24CAiJGGmkJAAl5OgdQZMzaAJgjxDAMBCQEOoBSAGIzwAuKCuiVARhIgoI8JLGbAAyEiUBKQZLYBAVAn

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:0000ffffffff0000
Perceptual Hash:beb2430e3e6198bc
Difference Hash:4dc0302e2a28d5d5
Wavelet Hash:0000ffffffff0000
Color Hash:#d28279

Scan History

Scan history not available

Unable to load historical scan data