Summary
This website contacted 86 IPs in 5 countries across 24 domains to perform 138 HTTP transactions. The main domain is unr.edu and was registered NaN years ago.
Submitted URL: https://www.unr.edu/nevada-today/news/2025/cybersecurity-conference-x452570
The Cisco Umbrella rank of the primary domain is #128,871 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university news page with no security concerns.
Safety Factors
Details
Page Title
Cybersecurity Conference | AI and Cybersecurity | University of Nevada, Reno
Scan Type
public
Language
English
Category
news media journalism
(54%)Domain Information
You're looking at domain 'www.unr.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'www'. The registrable portion 'unr' spans 3 characters holding one vowel versus two consonants. It segments into 1 word: unr. 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 |
|---|---|---|---|
| 73 | 134.197.15.101 | Reno, Nevada, United States | AS3851NSHE-NEVADANET |
| 53 | 34.193.14.87 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 8 | 2.16.110.123 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 13.32.99.115 | New York, New York, United States | AS16509AMAZON-02 |
| 6 | 18.172.112.15 | United States | AS16509AMAZON-02 |
| 6 | 216.58.206.72 | United States | AS15169GOOGLE |
| 6 | 23.55.48.162 | Palermo, Sicily, Italy | AS20940Akamai International B.V. |
| 5 | 54.162.3.56 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 138 | 86 | - | - |
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
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