Summary
API
This website contacted 3 IPs in 2 countries across 7 domains to perform 42 HTTP transactions. The main domain is sf-encyclopedia.com and was registered 15 years ago.
Submitted URL: https://sf-encyclopedia.com/entry/martin_george_r_r
AI Security Verdict
Low Risk
Confidence: 85%
The site appears to be a legitimate encyclopedia page with no phishing, malware, or credential‑harvesting activity.
Safety Factors (4)
Details
Page Title
SFE: Martin, George R R
Scan Type
public
Domain Name Analysis
Domain 'sf-encyclopedia.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'sf-encyclopedia' is 15 characters long holding 5 vowels versus 9 consonants; bonus characters include one hyphen. Breaking it apart gives two words: sf, encyclopedia. The median word length lands at 7 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 |
|---|---|---|---|
| 14 | 142.251.14.102Google · CDN | United States | AS15169Google LLC |
| 14 | 217.160.0.51 | Germany | AS8560IONOS SE |
| 14 | 146.75.120.157Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 42 | 3 | - | - |
Detected Technologies5
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