Summary
This website contacted 9 IPs in 1 country across 9 domains to perform 2 HTTP transactions. The main domain is apic.org and was registered NaN years ago.
Submitted URL: https://apic.org/emerging-infectious-diseases/candida-auris/
The Cisco Umbrella rank of the primary domain is #394,625 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The site is a legitimate, long‑standing organization page with no phishing or malware indicators.
Safety Factors
Details
Page Title
Candida Auris - APIC
Scan Type
public
Language
English
Category
technology software
(49%)Domain Information
The domain 'apic.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. The registrable portion 'apic' spans 4 characters holding 2 vowels versus two consonants. Splitting it apart reveals 2 words: a, pic. Average segment length settles at two 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 |
|---|---|---|---|
| 18 | 142.251.154.119Google · CDN | United States | AS15169Google LLC |
| 12 | 18.244.18.53Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 12 | 172.66.171.172Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 12 | 104.16.140.209Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 12 | 198.199.70.124 | North Bergen, New Jersey, United States | AS14061DigitalOcean, LLC |
| 12 | 172.67.142.245Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 12 | 209.87.158.9 | United States | AS36444Liquid Web, L.L.C |
| 12 | 216.198.54.3 | United States | AS209242Cloudflare London, LLC |
| 12 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 114 | 9 | - | - |
Detected Technologies17
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
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