Summary
This website contacted 64 IPs in 3 countries across 22 domains to perform 240 HTTP transactions. The main domain is dc.fandom.com.
Submitted URL: https://dc.fandom.com/wiki/Supergirl_Vol_8
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%
Legitimate DC fandom page with no security concerns.
Safety Factors
Details
Page Title
Supergirl (2025—Present) | DC Database | Fandom
Scan Type
public
Language
English
Category
entertainment media
(62%)Domain Information
Within the commercial generic top-level domain (.com), 'dc.fandom.com' is registered with subdomain 'dc'. The second-level label 'fandom' is 6 characters long split between two vowels and 4 consonants. Word splitting yields one word: fandom. Median word length comes out to 6 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 |
|---|---|---|---|
| 51 | 162.159.130.233 | United States | AS13335CLOUDFLARENET |
| 3 | 172.66.148.159 | United States | AS13335CLOUDFLARENET |
| 3 | 172.67.149.20 | United States | AS13335CLOUDFLARENET |
| 3 | 74.120.189.205 | Reston, Virginia, United States | AS22300FANDOM |
| 3 | 162.159.134.233 | United States | AS13335CLOUDFLARENET |
| 3 | 74.120.188.204 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 3 | 13.33.52.91 | New York, New York, United States | AS16509AMAZON-02 |
| 3 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 3 | 162.159.129.233 | United States | AS13335CLOUDFLARENET |
| 3 | 151.101.193.229 | San Francisco, California, United States | AS54113FASTLY |
| 240 | 64 | - | - |
Detected Technologies5
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
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