Summary
This website contacted 35 IPs in 2 countries across 14 domains to perform 138 HTTP transactions. The main domain is parksandrecreation.fandom.com.
Submitted URL: https://parksandrecreation.fandom.com/wiki/Amy_Poehler
The Cisco Umbrella rank of the primary domain is #6,286 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate wiki page with no security concerns.
Safety Factors
Details
Page Title
Amy Poehler | Parks and Recreation Wiki | Fandom
Scan Type
public
Language
English
Category
education learning
(92%)Domain Information
Domain 'parksandrecreation.fandom.com' uses the commercial generic top-level domain (.com) with subdomain 'parksandrecreation'. The registrable portion 'fandom' spans 6 characters split between two vowels and four consonants. Word splitting yields 1 word: fandom. 'fando' most strongly signals Galician. Usage also turns up in Polish contexts. Net impression: Galician phrase with single-word simplicity.
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 |
|---|---|---|---|
| 36 | 199.232.208.194 | United States | AS54113FASTLY |
| 3 | 64.233.176.94 | United States | AS15169GOOGLE |
| 3 | 108.138.3.93 | United States | AS16509AMAZON-02 |
| 3 | 104.21.41.177 | United States | AS13335CLOUDFLARENET |
| 3 | 74.120.188.204 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 3 | 74.120.188.194 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 3 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 3 | 146.75.122.91 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 199.232.212.194 | United States | AS54113FASTLY |
| 3 | 142.250.184.194 | United States | AS15169GOOGLE |
| 138 | 35 | - | - |
Detected Technologies4
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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