Summary
This website contacted 14 IPs in 2 countries across 12 domains to perform 141 HTTP transactions. The main domain is digital.sandiego.edu and was registered NaN years ago.
Submitted URL: https://digital.sandiego.edu/sdlr/vol61/iss4/4/
The Cisco Umbrella rank of the primary domain is #218,920 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
"Narco-Terrorism and National Security" by J. Richard Broughton
Scan Type
public
Language
English
Category
government public service
(72%)Domain Information
The domain name 'digital.sandiego.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'digital'. The core label 'sandiego' covers 8 characters with four vowels and four consonants. Word splitting yields two words: san, diego. Median word length comes out to 4 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 |
|---|---|---|---|
| 13 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 11 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 11 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 11 | 100.52.56.24 | Germany | |
| 11 | 172.66.171.172 | United States | AS13335CLOUDFLARENET |
| 11 | 142.251.141.78 | United States | AS15169GOOGLE |
| 11 | 50.18.241.247 | San Jose, California, United States | AS16509AMAZON-02 |
| 11 | 65.9.175.71 | United States | AS16509AMAZON-02 |
| 11 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 11 | 162.247.243.39 | United States | AS54113FASTLY |
| 156 | 14 | - | - |
Detected Technologies11
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
Unable to load historical scan data