Summary
This website contacted 77 IPs in 5 countries across 23 domains to perform 90 HTTP transactions. The main domain is uncfsu.edu and was registered NaN years ago.
Submitted URL: https://www.uncfsu.edu/
The Cisco Umbrella rank of the primary domain is #544,072 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university site with no security concerns.
Safety Factors
Details
Page Title
Fayetteville State University | Fayetteville, NC
Scan Type
public
Language
English
Category
education learning
(78%)Domain Information
Domain 'www.uncfsu.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www'. Count 6 characters in 'uncfsu' with two vowels and four consonants. Breaking it apart gives two words: unc, fsu. The median word length lands at three characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 14 | 142.250.74.195 | United States | AS15169GOOGLE |
| 1 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.185.164 | United States | AS15169GOOGLE |
| 1 | 95.101.111.153 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 3.160.150.46 | United States | AS16509AMAZON-02 |
| 1 | 44.195.114.4 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 208.115.107.179 | Tukwila, Washington, United States | AS23033WOW |
| 1 | 18.192.225.233 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 90 | 77 | - | - |
Detected Technologies3
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
Scan history not available
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