Summary
This website contacted 23 IPs in 3 countries across 13 domains to perform 177 HTTP transactions. The main domain is television.fandom.com.
Submitted URL: https://television.fandom.com/wiki/Leave_It_to_Beaver
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: 95%
The page is a legitimate Fandom wiki entry with no security concerns.
Safety Factors
Details
Page Title
Leave It to Beaver | Television Wiki | Fandom
Scan Type
public
Language
English
Category
malicious
(34%)Domain Information
The domain 'television.fandom.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'television'. Its registrable label 'fandom' stretches across 6 characters with two vowels and four consonants. Breaking it apart gives 1 word: fandom. 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 |
|---|---|---|---|
| 81 | 74.120.188.204 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 76 | 199.232.212.194 | United States | AS54113FASTLY |
| 13 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 7 | 199.232.208.194 | United States | AS54113FASTLY |
| 7 | 52.48.28.191 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 7 | 74.120.188.194 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 7 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 7 | 74.120.189.205 | Reston, Virginia, United States | AS22300FANDOM |
| 7 | 34.243.163.48 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 7 | 54.72.125.12 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 177 | 23 | - | - |
Detected Technologies3
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
Scan history not available
Unable to load historical scan data