Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 22 HTTP transactions. The main domain is desk-software.com and was registered NaN years ago.
Submitted URL: https://desk-software.com/
AI Security Verdict
Moderate Risk
Confidence: 80%
Site promotes a fraudulent Bitcoin generator; no immediate threats but likely a crypto scam.
Risk Factors
Safety Factors
Details
Page Title
Bitcoin Money Adder Generator for Android and Windows
Scan Type
public
Language
English
Category
technology software
(25%)Domain Information
The domain 'desk-software.com' uses the commercial generic top-level domain (.com) without a subdomain. The core label 'desk-software' covers 13 characters holding four vowels versus eight consonants, plus one hyphen. It segments into 2 words: desk, software. Average segment length settles at six 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 | 142.251.208.168 | United States | AS15169Google LLC |
| 19 | 104.21.29.69 | United States | AS13335Cloudflare, Inc. |
| 19 | 142.251.141.74 | United States | AS15169Google LLC |
| 58 | 3 | - | - |
Detected Technologies9
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