Summary
API
Submitted URL: https://metalandrock.fandom.com/wiki/James_Hetfield
The Cisco Umbrella rank of the primary domain is #8,865 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 92%
Official Fandom wiki article about James Hetfield on a 30-year-old, top-10K-ranked domain; no forms, no impersonation, no threat-intel or malware hits. Legitimate.
Safety Factors (5)
Details
Page Title
James Hetfield | Metal & Rock Wiki | Fandomother network
Scan Type
public
Domain Name Analysis
The domain name 'metalandrock.fandom.com' uses the commercial generic top-level domain (.com) with subdomain 'metalandrock'. The core label 'fandom' covers 6 characters split between two vowels and four consonants. Breaking it apart gives 1 word: fandom. Expect six 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 |
|---|---|---|---|
| 10 | 162.159.142.170Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 172.66.2.166Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 104.18.87.42Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 142.251.127.84Google · CDN | United States | AS15169Google LLC |
| 0 | 104.16.80.73Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 54.220.127.231Aws · CLOUD | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 0 | 74.120.189.195 | Reston, Virginia, United States | AS22300Wikia, Inc. |
| 0 | 142.251.14.97Google · CDN | United States | AS15169Google LLC |
| 0 | 172.64.155.119Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 10 | 13 | - | - |
Detected Technologies10
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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