Summary
API
Submitted URL: https://lunarcrush.com/en/fantasy/player/emanuel-wilson
AI Security Verdict
Safe Website
Confidence: 90%
Aged, self-branded LunarCrush fantasy-football page with no forms, no impersonation, and no threat-intel, YARA, or Safe Browsing hits. The two MEDIUM IDS alerts merely note DNS/SNI to vercel.app, a generic cloud-hosting observation, not page-level malware.
Safety Factors (5)
Details
Page Title
Emanuel Wilson | Fantasy Football | LunarCrush
Scan Type
public
Domain Name Analysis
The domain name 'lunarcrush.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'lunarcrush' spans 10 characters holding 3 vowels versus 7 consonants. Tokenizing the label suggests 2 words: lunar, crush. Expect five 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 |
|---|---|---|---|
| 19 | 172.67.74.50Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 5 | 104.16.80.73Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 188.114.96.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 104.26.11.168Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 146.75.120.157Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 5 | 64.29.17.195Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 5 | 104.20.17.167Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 162.159.140.229Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 172.66.0.227Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 104 | 18 | - | - |
Detected Technologies7
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
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