Summary
This website contacted 137 IPs in 4 countries across 43 domains to perform 119 HTTP transactions. The main domain is today.rowan.edu and was registered NaN years ago.
Submitted URL: https://today.rowan.edu/news/2025/12/rowan-engineers-to-develop-ai-tools-for-bridge-asset-management.html
The Cisco Umbrella rank of the primary domain is #145,009 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
Rowan engineering experts are developing AI tools to improve NJ’s bridge asset management strategies | Rowan Today | Rowan University
Scan Type
public
Language
English
Category
healthcare medical
(49%)Domain Information
Domain 'today.rowan.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'today'. The core label 'rowan' covers 5 characters with 2 vowels and three consonants. Word splitting yields one word: rowan. 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 |
|---|---|---|---|
| 119 | 216.58.206.78 | United States | AS15169GOOGLE |
| 0 | 108.138.7.123 | United States | AS16509AMAZON-02 |
| 0 | 18.173.205.127 | United States | AS16509AMAZON-02 |
| 0 | 142.250.186.174 | United States | AS15169GOOGLE |
| 0 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 0 | 2.18.64.212 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 104.16.53.78 | United States | AS13335CLOUDFLARENET |
| 0 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 34.111.194.12 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 119 | 137 | - | - |
Detected Technologies7
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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