Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is cccco.edu and was registered NaN years ago.
Submitted URL: https://www.cccco.edu/
The Cisco Umbrella rank of the primary domain is #453,458 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 94%
The site is an established educational government portal with no malicious indicators.
Safety Factors
Details
Page Title
California Community Colleges
Scan Type
public
Language
English
Category
education learning
(93%)Domain Information
Domain 'www.cccco.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. The second-level label 'cccco' is 5 characters long containing one vowel alongside four consonants. Splitting it apart reveals 2 words: ccc, co. Median word length comes out to 2.5 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 |
|---|---|---|---|
| 24 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 22 | 142.251.13.95Google · CDN | United States | AS15169Google LLC |
| 22 | 207.62.209.40 | Concord, California, United States | AS2152CENIC |
| 68 | 3 | - | - |
Page Statistics
Detected Technologies8
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
Scan History
Scan history not available
Unable to load historical scan data