Summary
This website contacted 14 IPs in 3 countries across 20 domains to perform 210 HTTP transactions. The main domain is fscloud.com.cn and was registered NaN years ago.
Submitted URL: https://fscloud.com.cn
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no detected threats.
Safety Factors
Details
Page Title
售后管理系统-企业智能化售后工单管理软件|瑞云服务云
Scan Type
public
Language
English
Category
healthcare medical
(64%)Domain Information
The domain 'fscloud.com.cn' uses the Chinese country-code top-level domain (.com.cn) with no subdomain. The registrable portion 'fscloud' spans 7 characters with 2 vowels and five consonants. It segments into two words: fs, cloud. Median word length is 3.5 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 |
|---|---|---|---|
| 145 | 139.217.235.117 | Shanghai, Shanghai, China | AS58593Shanghai Blue Cloud Technology Co.,Ltd |
| 32 | 121.36.239.144 | Shanghai, Shanghai, China | AS55990Huawei Cloud Service data center |
| 15 | 157.0.146.54 | Nanjing, Jiangsu, China | AS140717UNICOM JiangSu Suzhou IDC network |
| 4 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 114.220.75.19 | China | AS4134Chinanet |
| 2 | 14.215.183.79 | Guangzhou, Guangdong, China | AS4134Chinanet |
| 1 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 139.220.242.45 | China | AS4808China Unicom Beijing Province Network |
| 1 | 183.240.98.82 | China | AS56040China Mobile communications corporation |
| 0 | 14 | - | - |
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
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