Summary
API
Submitted URL: https://minecraftseeds.io
AI Security Verdict
Low Risk
Confidence: 80%
Expired domain turned into an ad-monetized parking page. No forms, no impersonation, and no malware or threat-intel hits; only low-quality ad links. Low risk, but avoid clicking its ads.
Risk Factors (2)
Safety Factors (4)
Details
Page Title
N/A
Scan Type
public
Domain Name Analysis
The domain 'minecraftseeds.io' uses the British Indian Ocean Territory country-code top-level domain (.io) while skipping any subdomain. The second-level label 'minecraftseeds' is 14 characters long with five vowels and nine consonants. Splitting it apart reveals two words: minecraft, seeds. The median word length lands at seven 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 |
|---|---|---|---|
| 7 | 103.224.182.248 | San Diego, California, United States | AS133618Trellian Pty. Limited |
| 1 | 54.192.35.101Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 18.204.240.1Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 1 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 1 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 5.22.212.10 | Frankfurt am Main, Hesse, Germany | AS202053UpCloud Ltd |
| 1 | 79.127.211.90Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 85.9.206.5 | Frankfurt am Main, Hesse, Germany | AS202053UpCloud Ltd |
| 1 | 195.181.175.40Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 85.9.203.211 | Frankfurt am Main, Hesse, Germany | AS202053UpCloud Ltd |
| 21 | 15 | - | - |
Detected Technologies1
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