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%
Legitimate university scholarship page with no security concerns.
Safety Factors
Details
Page Title
Mark Walter - University Scholarship Office
Scan Type
public
Language
English
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

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 46 | 152.15.38.65 | United States | AS53384UNCC-AS |
| 11 | 23.209.188.17 | Marietta, Georgia, United States | AS20940Akamai International B.V. |
| 6 | 216.239.32.36 | United States | AS15169GOOGLE |
| 4 | 142.250.185.104 | United States | AS15169GOOGLE |
| 2 | 108.138.7.123 | United States | AS16509AMAZON-02 |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 142.250.185.238 | United States | AS15169GOOGLE |
| 2 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 2 | 34.198.122.35 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 108.138.7.87 | United States | AS16509AMAZON-02 |
| 76 | 31 | - | - |
Detected Technologies17
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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