Summary
This website contacted 23 IPs in 3 countries across 10 domains to perform 115 HTTP transactions. The main domain is crow-land.fandom.com and was registered NaN years ago.
Submitted URL: https://crow-land.fandom.com/wiki/Michelle_McCool
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: 98%
Legitimate page with no security concerns.
Safety Factors
Details
Page Title
Client Challenge
Scan Type
public
Language
English
Category
entertainment media
(61%)Domain Information
You're looking at domain 'crow-land.fandom.com' on the commercial generic top-level domain (.com) with subdomain 'crow-land'. Its registrable label 'fandom' stretches across 6 characters holding two vowels versus four consonants. Splitting it apart reveals one word: fandom. Median word length is six 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 |
|---|---|---|---|
| 5 | 199.232.208.194 | United States | AS54113FASTLY |
| 5 | 199.232.212.194 | United States | AS54113FASTLY |
| 5 | 74.120.188.204 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 5 | 74.120.189.195 | Reston, Virginia, United States | AS22300FANDOM |
| 5 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 5 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 5 | 74.120.188.194 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 5 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 5 | 74.120.189.205 | Reston, Virginia, United States | AS22300FANDOM |
| 5 | 46.137.46.183 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 115 | 23 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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