Summary
API
This website contacted 4 IPs in 1 country across 13 domains to perform 81 HTTP transactions. The main domain is ms.rittmanschools.org and was registered 18 years ago.
Submitted URL: https://ms.rittmanschools.org/
AI Security Verdict
Safe Website
Confidence: 95%
The site is an established school website with no malicious indicators.
Safety Factors (5)
Details
Page Title
Home - Rittman Middle School
Scan Type
public
Domain Name Analysis
Domain 'ms.rittmanschools.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'ms'. The core label 'rittmanschools' covers 14 characters containing four vowels alongside ten consonants. Word splitting yields 4 words: rit, t, man, schools. The median word length lands at 3 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 |
|---|---|---|---|
| 21 | 142.250.154.138Google · CDN | United States | AS15169Google LLC |
| 20 | 104.17.166.123Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 20 | 104.16.80.73Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 20 | 142.251.14.97Google · CDN | United States | AS15169Google LLC |
| 81 | 4 | - | - |
Detected Technologies10
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