Summary
API
This website contacted 2 IPs in 1 country across 5 domains to perform 30 HTTP transactions. The main domain is m.20xs.org and was registered 27 years ago.
Submitted URL: https://20xs.org
Effective URL:
The Cisco Umbrella rank of the primary domain is #458,736 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 85%
The site shows its own brand, has no credential or payment forms, and lacks any malicious indicators, resulting in a low‑risk classification.
Safety Factors (4)
Details
Page Title
20小说网手机版_好看的小说TXT下载,无弹窗手机小说网(m.20xs.org)
Scan Type
public
Domain Name Analysis
The domain '20xs.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. The registrable portion '20xs' spans 4 characters containing 0 vowels alongside 2 consonants, plus 2 digits. Tokenizing the label suggests 2 words: 20, xs. Expect two 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 |
|---|---|---|---|
| 15 | 107.148.95.13 | Los Angeles, California, United States | AS398823PEG TECH INC |
| 15 | 104.21.77.114Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 30 | 2 | - | - |
Detected Technologies6
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