Summary
This website contacted 3 IPs in 1 country across 2 domains to perform 11 HTTP transactions. The main domain is nara.getarchive.net and was registered NaN years ago.
Submitted URL: https://nara.getarchive.net/topics/colorado+senator+ben+nighthorse+campbell
The Cisco Umbrella rank of the primary domain is #373,576 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
No security concerns detected; page appears legitimate.
Safety Factors
Details
Page Title
Access Restricted
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(34%)Domain Information
Domain 'nara.getarchive.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'nara'. Count 10 characters in 'getarchive' containing four vowels alongside six consonants. Word splitting yields two words: get, archive. Median word length is 5 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 |
|---|---|---|---|
| 3 | 104.26.11.77 | United States | AS13335CLOUDFLARENET |
| 2 | 104.16.80.73 | United States | |
| 2 | 172.67.73.194 | United States | AS13335CLOUDFLARENET |
| 7 | 3 | - | - |
Detected Technologies4
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