Summary
API
This website contacted 3 IPs in 1 country across 3 domains to perform 89 HTTP transactions. The main domain is most.gov.cn and was registered 18 years ago.
Submitted URL: https://www.most.gov.cn
Effective URL:
The Cisco Umbrella rank of the primary domain is #629,464 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The page shows no malicious activity, is an established government site, and poses no risk.
Safety Factors (4)
Details
Page Title
中华人民共和国科学技术部
Scan Type
public
Domain Name Analysis
The domain 'www.most.gov.cn' uses the Chinese country-code top-level domain (.gov.cn) with subdomain 'www'. The core label 'most' covers 4 characters holding one vowel versus three consonants. Word splitting yields one word: most. Expect 4 characters per word on average. 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 |
|---|---|---|---|
| 31 | 168.160.11.102 | China | AS38027Information Center, Ministry of Sci and Tech |
| 29 | 168.160.11.110 | China | AS38027Information Center, Ministry of Sci and Tech |
| 29 | 114.251.191.210 | Beijing, Beijing, China | AS4808China Unicom Beijing Province Network |
| 89 | 3 | - | - |
Detected Technologies2
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