Summary
This website contacted 15 IPs in 2 countries across 20 domains to perform 174 HTTP transactions. The main domain is eldenringnightreign.wiki.fextralife.com and was registered NaN years ago.
Submitted URL: https://eldenringnightreign.wiki.fextralife.com/Forsaken+Hollows
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
The Forsaken Hollows DLC | Nightreign Wiki Elden Ring
Scan Type
public
Language
BN
Category
cryptocurrency blockchain
(70%)Domain Information
Within the commercial generic top-level domain (.com), 'eldenringnightreign.wiki.fextralife.com' is registered with subdomain 'eldenringnightreign.wiki'. Count 10 characters in 'fextralife' containing 4 vowels alongside 6 consonants. Segmentation suggests 3 words: f, extra, life. Average segment length settles at 4 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 |
|---|---|---|---|
| 20 | 54.144.151.126 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 11 | 216.239.34.36 | United States | AS15169GOOGLE |
| 11 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 11 | 142.250.186.168 | United States | AS15169GOOGLE |
| 11 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 11 | 185.111.111.156 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 11 | 54.157.59.36 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 11 | 142.250.184.195 | United States | AS15169GOOGLE |
| 11 | 142.250.185.142 | United States | AS15169GOOGLE |
| 11 | 142.250.185.234 | United States | AS15169GOOGLE |
| 174 | 15 | - | - |
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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