Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is atmos.ucla.edu and was registered NaN years ago.
Submitted URL: https://atmos.ucla.edu/csi/global-warming-faq/what-is-el-nino/
The Cisco Umbrella rank of the primary domain is #42,362 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The site is a legitimate UCLA subdomain with no malicious indicators.
Safety Factors
Details
Page Title
What is El Niño – Neelin Group
Scan Type
public
Language
English
Category
education
(90%)Domain Information
The domain 'atmos.ucla.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'atmos'. The second-level label 'ucla' is 4 characters long containing 2 vowels alongside 2 consonants. Segmentation suggests one word: ucla. 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 |
|---|---|---|---|
| 10 | 128.97.58.19 | San Fernando, California, United States | AS52University of California, Los Angeles |
| 10 | 65.8.131.87 | United States | AS16509Amazon.com, Inc. |
| 10 | 65.8.131.10 | United States | AS16509Amazon.com, Inc. |
| 30 | 3 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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