Summary
API
This website contacted 21 IPs in 2 countries across 20 domains to perform 109 HTTP transactions. The main domain is fightbac.org and was registered 17 years ago.
Submitted URL: https://fightbac.org/cyclospora-prevention/
AI Security Verdict
Safe Website
Confidence: 92%
The page is an informational article with no malicious indicators; it is safe.
Safety Factors (4)
Details
Page Title
Cyclosporiasis Symptoms and Prevention Tips | Partnership for Food Safety Education
Scan Type
public
Domain Name Analysis
The domain name 'fightbac.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. Its registrable label 'fightbac' stretches across 8 characters holding two vowels versus six consonants. It segments into two words: fight, bac. Median word length is four 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 |
|---|---|---|---|
| 9 | 142.251.13.97Google · CDN | United States | AS15169Google LLC |
| 5 | 104.18.40.153Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 5 | 142.251.13.95Google · CDN | United States | AS15169Google LLC |
| 5 | 134.209.37.17 | Clifton, New Jersey, United States | AS14061DigitalOcean, LLC |
| 5 | 142.251.154.119Google · CDN | United States | AS15169Google LLC |
| 5 | 104.17.25.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 150.171.109.99Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 5 | 104.17.24.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 52.184.215.111Azure · CLOUD | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 109 | 21 | - | - |
Detected Technologies13
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