Security Scan Report: simpsons.fandom.com

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Submitted: Nov 1, 2025, 10:35:42 AMCompleted: Nov 1, 2025, 10:39:24 AMpubliccompleted
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Summary

This website contacted 161 IPs in 4 countries across 52 domains to perform 323 HTTP transactions. The main domain is simpsons.fandom.com.

Submitted URL: https://simpsons.fandom.com/wiki/Fortnite

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate wiki entry with no security concerns.

Safety Factors
Established reputable domain (fandom.com)
Content is standard informational wiki page
No suspicious redirects or hidden elements
Domain age information unavailable

Details

Page Title

Fortnite | Simpsons Wiki | Fandom

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(80%)

Domain Information

The domain 'simpsons.fandom.com' uses the commercial generic top-level domain (.com), featuring subdomain 'simpsons'. The second-level label 'fandom' is 6 characters long containing two vowels alongside 4 consonants. Breaking it apart gives 1 word: fandom. The median word length lands at six characters. The linguistic tilt is Galician for 'fando'. Usage also turns up in Polish contexts. Net impression: Galician phrase with single-word simplicity.

Screenshot

Security scan screenshot of https://simpsons.fandom.com/wiki/Fortnite

Page Load Overview

8.08s
Total Load Time
323
HTTP Requests
52
Domains
30.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:6,580 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media80% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
80%
education learning
29%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
84199.232.212.194United States
AS54113FASTLY
6774.120.188.204Frankfurt am Main, Hesse, Germany
AS22300FANDOM
3813.33.187.47New York, New York, United States
AS16509AMAZON-02
1674.120.189.205Reston, Virginia, United States
AS22300FANDOM
13104.18.86.42United States
AS13335CLOUDFLARENET
12146.75.122.114Frankfurt am Main, Hesse, Germany
AS54113FASTLY
8162.159.135.233United States
AS13335CLOUDFLARENET
8162.159.136.232United States
AS13335CLOUDFLARENET
799.84.152.56United States
AS16509AMAZON-02
718.173.205.111United States
AS16509AMAZON-02
323161--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115B419F5036C52FE0A87DBACDF37B256921FA4BEFA71859462AECF940687950DB03404

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wXpZLiesWyz/8kr5YEjECFyCCFct5gF+OLh13anW0NGskXGvTExPbTs:uLigktjEcMct5gF+OLhUnSskXGvIPbw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500002:FcBAieAUNAqiGgeDg4IAghCHscoAbIFAEshAS21QBQBABhCAYGOIoUOhQhK5U0oqYDsWYRBAMQuEwJJLOGgMRTUFBAUIRQAJ

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

Average Hash:800000d9f902ffff
Perceptual Hash:fa7df614819025cb
Difference Hash:220023b3a1bc9c41
Wavelet Hash:800000c9fd47ffff
Color Hash:#1f4a93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data