Summary
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is fileshare.kaufishonline.net and was registered NaN years ago.
Submitted URL: https://fileshare.kaufishonline.net/
Effective URL: https://fileshare.kaufishonline.net/loginRedirected
AI Security Verdict
High Risk
Confidence: 95%
The site impersonates Nextcloud with a login form on an unranked domain, indicating credential phishing – avoid and report.
Risk Factors
Details
Page Title
Login – Nextcloud
Scan Type
public
Language
English
Category
technology software
(76%)Domain Information
Within the network infrastructure generic top-level domain (.net), 'fileshare.kaufishonline.net' is registered with subdomain 'fileshare'. The registrable portion 'kaufishonline' spans 13 characters holding 6 vowels versus seven consonants. Breaking it apart gives three words: kau, fish, online. Average segment length settles at four 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 |
|---|---|---|---|
| 26 | 47.194.27.6 | Tampa, Florida, United States | AS5650Frontier Communications of America, Inc. |
| 26 | 1 | - | - |
Detected Technologies2
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