Security Scan Report: famous-people.fandom.com

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Submitted: Oct 16, 2025, 2:24:13 PMCompleted: Oct 16, 2025, 2:25:39 PMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 10 domains to perform 99 HTTP transactions. The main domain is famous-people.fandom.com.

Submitted URL: https://famous-people.fandom.com/wiki/Rebecca_Miller

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational page about Rebecca Miller.

Safety Factors
Reputable hosting platform (fandom.com)
No credential or payment collection mechanisms
Publicly verifiable information
Domain age information unavailable

Details

Page Title

Rebecca Miller | Famous people Wiki | Fandom

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

The domain name 'famous-people.fandom.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'famous-people'. The core label 'fandom' covers 6 characters containing two vowels alongside four consonants. It segments into one word: fandom. Average segment length settles at 6 characters. The linguistic tilt is Galician for 'fando'. You will also see it in Polish contexts.

Screenshot

Security scan screenshot of https://famous-people.fandom.com/wiki/Rebecca_Miller

Page Load Overview

24.14s
Total Load Time
99
HTTP Requests
10
Domains
1.5 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:32,654 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: static
Method: ml+structural

All Detected Categories

news/blog
35%
adult content
33%
forum
25%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1174.120.188.204Frankfurt am Main, Hesse, Germany
AS22300FANDOM
4104.18.87.42United States
AS13335CLOUDFLARENET
474.120.188.194Frankfurt am Main, Hesse, Germany
AS22300FANDOM
4104.18.86.42United States
AS13335CLOUDFLARENET
4146.75.122.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
474.120.189.205Reston, Virginia, United States
AS22300FANDOM
4199.232.208.194United States
AS54113FASTLY
4104.16.174.226United States
AS13335CLOUDFLARENET
474.120.189.195Reston, Virginia, United States
AS22300FANDOM
4199.232.212.194United States
AS54113FASTLY
9923--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C95418F5A29C057F570386EDFBB26B1AE197907ADA5208E4B1FCDEA403D3D90E613409

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+h6AGSiGSDDHDY3RDkBDEtAnY007sVvLcdHbwTFkmX61Imu3vCYVKO03BoHyXP5E:+h6ANbPVPf9gQr0hwVjOAcCfqixw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:282346:QAcToAKOzQC3vDGAZAgFhsMKIWCU6eKMATqAVgRBQaUAhJIIQAiBamTggwchoTUSpgNNUwAQBq0OpAAFDM8Abnujg+gUAgmX

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:000000000000ffff
Perceptual Hash:e83d9364e55611d6
Difference Hash:b099159797978569
Wavelet Hash:7e4101c14141ffff
Color Hash:#c5a687

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data