Security Scan Report: mamma-mia.fandom.com

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Submitted: Oct 31, 2025, 5:22:19 PMCompleted: Oct 31, 2025, 5:23:55 PMpubliccompleted
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Summary

This website contacted 130 IPs in 4 countries across 30 domains to perform 204 HTTP transactions. The main domain is mamma-mia.fandom.com.

Submitted URL: https://mamma-mia.fandom.com/wiki/Lily_James

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established hosting platform (fandom.com)
Content is a standard informational wiki page
Domain age information unavailable

Details

Page Title

Lily James | Mamma Mia Wiki | Fandom

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(53%)

Domain Information

Domain 'mamma-mia.fandom.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'mamma-mia'. Its registrable label 'fandom' stretches across 6 characters containing two vowels alongside four consonants. Breaking it apart gives one word: fandom. 'fando' most strongly signals Galician. Usage also turns up in Polish contexts.

Screenshot

Security scan screenshot of https://mamma-mia.fandom.com/wiki/Lily_James

Page Load Overview

36.86s
Total Load Time
204
HTTP Requests
30
Domains
22.2 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:20,736 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media53% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
53%
documentation technical
46%
news/blog
35%
forum
35%
technology software
30%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
75142.250.185.98United States
AS15169GOOGLE
1104.18.87.42United States
AS13335CLOUDFLARENET
174.120.189.195Reston, Virginia, United States
AS22300FANDOM
113.33.187.15New York, New York, United States
AS16509AMAZON-02
118.173.205.80United States
AS16509AMAZON-02
113.33.187.117New York, New York, United States
AS16509AMAZON-02
174.120.188.204Frankfurt am Main, Hesse, Germany
AS22300FANDOM
1146.75.122.114Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1199.232.212.194United States
AS54113FASTLY
1104.18.41.104United States
AS13335CLOUDFLARENET
204130--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107343AF29218067F524386DCF772A709B257D0BFE94644A4B6ECCEA807E7DD0E907528

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XFmi4SDSIDHdDrjDbJLXe9q+s/4VSLB3jzOdJLjbUtTP45SDSIDHdDrjDjilOb+P:XjgmP0OpM2748wVjOAcWs9Niaw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:246277:pgQIAhLWOKIIEBNBCSYCCMPQAg8AQYVC1yBhY/AZAYAUKg1AoRA1kDkFFUJAMAwiUoGBgRCGjUwJGh4lLUNAESIyghAOFBGE

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:800080808080ffff
Perceptual Hash:fc79a35581a095c7
Difference Hash:22002928343c0cc0
Wavelet Hash:c00080c0fcdcffff
Color Hash:#4062bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data