Summary
API
This website contacted 3 IPs in 1 country across 5 domains to perform 65 HTTP transactions. The main domain is paper.sciencenet.cn and was registered 26 years ago.
Submitted URL: https://paper.sciencenet.cn
Effective URL:
The Cisco Umbrella rank of the primary domain is #438,630 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
The site shows no malicious signals and appears legitimate.
Safety Factors
Details
Page Title
科学网—论文
Scan Type
public
Domain Name Analysis
The domain 'paper.sciencenet.cn' uses the Chinese country-code top-level domain (.cn) and includes subdomain 'paper'. Its registrable label 'sciencenet' stretches across 10 characters containing 4 vowels alongside six consonants. Splitting it apart reveals two words: science, net. The median word length lands at five 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 |
|---|---|---|---|
| 23 | 59.110.247.133 | Beijing, Beijing, China | AS37963Hangzhou Alibaba Advertising Co.,Ltd. |
| 21 | 111.45.3.198 | China | AS9808China Mobile Communications Group Co., Ltd. |
| 21 | 14.215.182.140 | China | AS4134Chinanet |
| 65 | 3 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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