Summary
This website contacted 148 IPs in 5 countries across 49 domains to perform 237 HTTP transactions. The main domain is madmen.fandom.com.
Submitted URL: https://madmen.fandom.com/wiki/John_Slattery
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%
The page is a legitimate Fandom wiki entry with no security concerns.
Safety Factors
Details
Page Title
John Slattery | Mad Men Wiki | Fandom
Scan Type
public
Language
English
Category
malicious
(27%)Domain Information
Within the commercial generic top-level domain (.com), 'madmen.fandom.com' is registered and includes subdomain 'madmen'. The second-level label 'fandom' is 6 characters long holding two vowels versus four consonants. Tokenizing the label suggests 1 word: fandom. Average segment length settles at 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 |
|---|---|---|---|
| 90 | 142.250.186.174 | United States | AS15169GOOGLE |
| 72 | 74.120.188.194 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 30 | 13.33.187.117 | New York, New York, United States | AS16509AMAZON-02 |
| 24 | 199.232.212.194 | United States | AS54113FASTLY |
| 15 | 74.120.189.205 | Reston, Virginia, United States | AS22300FANDOM |
| 13 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 12 | 146.75.122.114 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 7 | 18.173.205.80 | United States | AS16509AMAZON-02 |
| 7 | 99.84.152.35 | United States | AS16509AMAZON-02 |
| 5 | 18.66.147.22 | United States | AS16509AMAZON-02 |
| 237 | 148 | - | - |
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
Scan history not available
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