Summary
This website contacted 11 IPs in 3 countries across 6 domains to perform 33 HTTP transactions. The main domain is aesdes.org and was registered NaN years ago.
Submitted URL: https://www.aesdes.org/2023/03/03/admiring-alan-dyes-design-philosophy-and-his-impact-on-the-apple-watch/
AI Security Verdict
Safe Website
Confidence: 88%
Legitimate blog article with low risk; no credential or payment collection.
Risk Factors
Safety Factors
Details
Page Title
Admiring Alan Dye’s Design Philosophy and his Impact on the Apple Watch – Aesthetics of Design
Scan Type
public
Language
English
Category
education learning
(65%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'www.aesdes.org' is registered and includes subdomain 'www'. Count 6 characters in 'aesdes' with 3 vowels and three consonants. Breaking it apart gives two words: aes, des. Expect 3 characters per word on average. 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 |
|---|---|---|---|
| 17 | 69.163.169.207 | Hillsboro, Oregon, United States | AS26347DREAMHOST-AS |
| 4 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 104.20.5.134 | United States | AS13335CLOUDFLARENET |
| 3 | 104.20.6.134 | United States | AS13335CLOUDFLARENET |
| 3 | 2606:4700:10::6814:586 | United States | AS13335CLOUDFLARENET |
| 3 | 2a00:1450:4001:82b::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2606:4700:10::6814:686 | United States | AS13335CLOUDFLARENET |
| 3 | 2a04:fa87:fffe::c000:4902 | Ireland | AS2635AUTOMATTIC |
| 3 | 2a00:1450:4001:82b::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 2 | 142.250.184.195 | United States | AS15169GOOGLE |
| 33 | 11 | - | - |
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
Scan history not available
Unable to load historical scan data