Summary
This website contacted 79 IPs in 6 countries across 27 domains to perform 84 HTTP transactions. The main domain is ache.org and was registered NaN years ago.
Submitted URL: https://www.ache.org/about-ache/corporate-partners/sites/exact-sciences
The Cisco Umbrella rank of the primary domain is #486,570 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The page appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Exact Sciences | American College of Healthcare Executives
Scan Type
public
Language
English
Category
corporate business
(49%)Domain Information
The domain 'www.ache.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. The registrable portion 'ache' spans 4 characters holding two vowels versus 2 consonants. Word splitting yields one word: ache. 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 |
|---|---|---|---|
| 28 | 104.20.25.105 | United States | AS13335CLOUDFLARENET |
| 13 | 23.55.48.162 | Palermo, Sicily, Italy | AS20940Akamai International B.V. |
| 6 | 34.192.151.38 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 142.250.185.232 | United States | AS15169GOOGLE |
| 3 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 3.33.220.150 | Seattle, Washington, United States | AS16509AMAZON-02 |
| 2 | 142.250.186.46 | United States | AS15169GOOGLE |
| 84 | 79 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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