Security Scan Report: 9-1-1.fandom.com

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Submitted: Dec 4, 2025, 2:57:44 AMCompleted: Dec 4, 2025, 3:00:22 AMpubliccompleted
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Summary

This website contacted 29 IPs in 3 countries across 14 domains to perform 112 HTTP transactions. The main domain is 9-1-1.fandom.com.

Submitted URL: https://9-1-1.fandom.com/wiki/Rob_Lowe

The Cisco Umbrella rank of the primary domain is #8,865 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate wiki page with no security concerns.

Safety Factors
High domain reputation
Absence of suspicious forms or scripts
No external malicious links
Domain age information unavailable

Details

Page Title

Rob Lowe | 9-1-1 Wiki | Fandom

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(39%)

Domain Information

The domain '9-1-1.fandom.com' uses the commercial generic top-level domain (.com), featuring subdomain '9-1-1'. The second-level label 'fandom' is 6 characters long holding 2 vowels versus four consonants. Tokenizing the label suggests one word: fandom. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://9-1-1.fandom.com/wiki/Rob_Lowe

Page Load Overview

1.31s
Total Load Time
112
HTTP Requests
14
Domains
2.4 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:8,401 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content39% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
39%
news/blog
35%
entertainment media
33%
news media journalism
30%
forum
25%

Detected Features

Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4574.120.188.204Frankfurt am Main, Hesse, Germany
AS22300FANDOM
37199.232.212.194United States
AS54113FASTLY
2834.240.68.19Dublin, Leinster, Ireland
AS16509AMAZON-02
13104.18.86.42United States
AS13335CLOUDFLARENET
634.49.129.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
474.120.189.205Reston, Virginia, United States
AS22300FANDOM
374.120.188.194Frankfurt am Main, Hesse, Germany
AS22300FANDOM
3199.232.208.194United States
AS54113FASTLY
3104.18.87.42United States
AS13335CLOUDFLARENET
3151.101.1.229San Francisco, California, United States
AS54113FASTLY
11229--

Detected Technologies2

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B744CF653AC0C7F0643C35EE967B245606FA87ADE6254D4F1FF8A2886C39C13617528

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:MTN/IAna5dxYBonlAXgqi78w3fkhVD4GWPzmdIsGRvUmCFBFbXUBxzDmZCIfOxO:Kx9a5l6dFGpUmCFrz6y7f3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:340488:IAEsCAKKQeGBAhMCkMAWkOKjkkBQTaIcRoEAXU9oIQgCUsJ8QAhAQIGxUMTBCQaSFIAKm86jKkCyWDQApIXGg4QkRADADQDE

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:fc8080b7fffff0f9
Perceptual Hash:ff364ac0c14a16cf
Difference Hash:583d3d6f7a717373
Wavelet Hash:3c800083fffff0f0
Color Hash:#3ad22d

Scan History

Scan history not available

Unable to load historical scan data