Summary
This website contacted 27 IPs in 3 countries across 10 domains to perform 98 HTTP transactions. The main domain is american-history-media.fandom.com.
Submitted URL: https://american-history-media.fandom.com/wiki/Jeff_Daniels
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate informational wiki page about Jeff Daniels.
Safety Factors
Details
Page Title
Jeff Daniels | American History Media Wiki | Fandom
Scan Type
public
Language
English
Category
news/blog
(35%)Domain Information
You're looking at domain 'american-history-media.fandom.com' on the commercial generic top-level domain (.com), featuring subdomain 'american-history-media'. Its registrable label 'fandom' stretches across 6 characters containing 2 vowels alongside four consonants. Segmentation suggests 1 word: fandom. Median word length is 6 characters. 'fando' is most common in Galician usage. You will also see it in Polish contexts.
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 |
|---|---|---|---|
| 20 | 74.120.188.204 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 3 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 3 | 74.120.188.194 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 3 | 199.232.208.194 | United States | AS54113FASTLY |
| 3 | 74.120.189.205 | Reston, Virginia, United States | AS22300FANDOM |
| 3 | 199.232.212.194 | United States | AS54113FASTLY |
| 3 | 54.76.214.218 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 146.75.122.91 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 3 | 151.101.1.229 | San Francisco, California, United States | AS54113FASTLY |
| 98 | 27 | - | - |
Detected Technologies7
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
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