Summary
This website contacted 30 IPs in 4 countries across 19 domains to perform 82 HTTP transactions. The main domain is business.fsu.edu and was registered NaN years ago.
Submitted URL: https://business.fsu.edu/article/bruning-speaker-series-espns-mcfarland-emphasizes-originality-authenticity
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university page with no security concerns.
Safety Factors
Details
Page Title
Bruning Speaker Series: ESPN’s McFarland emphasizes originality, authenticity | College of Business
Scan Type
public
Domain Information
Within the sponsored educational top-level domain (.edu), 'business.fsu.edu' is registered with subdomain 'business'. The second-level label 'fsu' is 3 characters long with one vowel and two consonants. Splitting it apart reveals one word: fsu. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 24 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 2 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.185.136 | United States | AS15169GOOGLE |
| 2 | 142.250.186.74 | United States | AS15169GOOGLE |
| 2 | 142.250.184.227 | United States | AS15169GOOGLE |
| 2 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 142.250.186.131 | United States | AS15169GOOGLE |
| 2 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 2 | 44.197.143.158 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 104.26.13.205 | United States | AS13335CLOUDFLARENET |
| 82 | 30 | - | - |
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
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