Summary
This website contacted 6 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is popples2015.fandom.com and was registered 29 years ago.
Submitted URL: https://popples2015.fandom.com/wiki/Jamie-Lynn_Sigler
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%
No malicious signals detected; site appears legitimate and low risk.
Safety Factors
Details
Page Title
Jamie-Lynn Sigler | Popples 2015 Wiki | Fandom
Scan Type
public
Language
English
Category
technology software
(78%)Domain Information
Within the commercial generic top-level domain (.com), 'popples2015.fandom.com' is registered, featuring subdomain 'popples2015'. Count 6 characters in 'fandom' with two vowels and 4 consonants. Splitting it apart reveals 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 |
|---|---|---|---|
| 5 | 172.66.2.166Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 104.16.79.73Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 104.18.87.42Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 142.251.127.84Google · CDN | United States | AS15169Google LLC |
| 1 | 146.75.122.91Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 1 | 162.159.142.170Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 10 | 6 | - | - |
Page Statistics
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
Unable to load historical scan data