Summary
This website contacted 3 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is fs0745.com and was registered NaN years ago.
Submitted URL: https://fs0745.com
Effective URL: https://www.fs0745.com/Redirected
AI Security Verdict
Safe Website
Confidence: 82%
The site shows no malicious activity, has an established age, and lacks phishing or malware indicators.
Safety Factors
Details
Page Title
飞沙系统网-ghost windows电脑系统下载
Scan Type
public
Language
Chinese
Category
technology software
(86%)Domain Information
Within the commercial generic top-level domain (.com), 'fs0745.com' is registered with no subdomain. The registrable portion 'fs0745' spans 6 characters containing 0 vowels alongside two consonants; bonus characters include four digits. Segmentation suggests two words: fs, 0745. Median word length is three 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 |
|---|---|---|---|
| 35 | 14.215.182.140 | China | |
| 34 | 202.181.25.23 | Hong Kong | AS55933Cloudie Limited |
| 34 | 43.228.79.85 | China | AS134765CHINANET Yunnan province IDC1 network |
| 103 | 3 | - | - |
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