Summary
This website contacted 171 IPs in 4 countries across 52 domains to perform 367 HTTP transactions. The main domain is fallout.fandom.com.
Submitted URL: https://fallout.fandom.com/wiki/Fallout_Day_Broadcast
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate Fandom wiki entry with no security concerns.
Safety Factors
Details
Page Title
Fallout Day Broadcast | Fallout Wiki | Fandom
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
You're looking at domain 'fallout.fandom.com' on the commercial generic top-level domain (.com), featuring subdomain 'fallout'. Its registrable label 'fandom' stretches across 6 characters with two vowels and four consonants. It segments into 1 word: fandom. Expect six characters per word on average. 'fando' most often appears in Galician. It also appears 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 |
|---|---|---|---|
| 100 | 162.159.133.233 | United States | AS13335CLOUDFLARENET |
| 56 | 74.120.188.194 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 52 | 199.232.212.194 | United States | AS54113FASTLY |
| 37 | 13.33.187.95 | New York, New York, United States | AS16509AMAZON-02 |
| 27 | 13.33.187.15 | New York, New York, United States | AS16509AMAZON-02 |
| 15 | 74.120.189.195 | Reston, Virginia, United States | AS22300FANDOM |
| 13 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 12 | 146.75.122.114 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 9 | 162.159.128.233 | United States | AS13335CLOUDFLARENET |
| 9 | 18.173.205.111 | United States | AS16509AMAZON-02 |
| 367 | 171 | - | - |
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
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