Security Scan Report: bigcitygreens.fandom.com

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Submitted: Oct 28, 2025, 5:04:06 PMCompleted: Oct 28, 2025, 5:05:59 PMpubliccompleted
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Summary

This website contacted 49 IPs in 2 countries across 19 domains to perform 275 HTTP transactions. The main domain is bigcitygreens.fandom.com and was registered NaN years ago.

Submitted URL: https://bigcitygreens.fandom.com/wiki/Jameela_Jamil

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate wiki page with no security concerns.

Safety Factors
Well‑established domain (bigcitygreens.fandom.com)
No sensitive data collection fields
No malicious Indicators of Compromise detected
Content matches expected wiki format
Domain age information unavailable

Details

Page Title

Jameela Jamil | Big City Greens Wiki | Fandom

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

Domain 'bigcitygreens.fandom.com' uses the commercial generic top-level domain (.com) and includes subdomain 'bigcitygreens'. Count 6 characters in 'fandom' holding 2 vowels versus 4 consonants. Breaking it apart gives one word: fandom. Median word length comes out to six characters. Most frequently, 'fando' shows up in Galician. You will also see it in Polish contexts.

Screenshot

Security scan screenshot of https://bigcitygreens.fandom.com/wiki/Jameela_Jamil

Page Load Overview

59.48s
Total Load Time
275
HTTP Requests
19
Domains
4.9 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:5,963 chars
Detector Agreement:80%

Website Classification

Primary Category

news/blog40% confidence
Type: static
Method: structural

All Detected Categories

news/blog
40%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35142.250.186.170United States
AS15169GOOGLE
5162.159.129.233United States
AS13335CLOUDFLARENET
5162.159.128.233United States
AS13335CLOUDFLARENET
574.120.188.204Frankfurt am Main, Hesse, Germany
AS22300FANDOM
5142.251.140.162United States
AS15169GOOGLE
5162.159.136.232United States
AS13335CLOUDFLARENET
5162.159.134.233United States
AS13335CLOUDFLARENET
5199.232.208.194United States
AS54113FASTLY
5162.159.137.232United States
AS13335CLOUDFLARENET
5162.159.130.233United States
AS13335CLOUDFLARENET
27549--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154B41BF5436C52FE0A83DFADDF77A606522FA47EF972859462AECF940683980DB13404

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:5LigktjEcMct5gF+OLhUnSskXG+jon1CeWvuBINYgUmBw6PyT9F81WUyFDtd66Pn:Aht5VqKPVN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500002:IWD0ByRgYIKCAwEI+1kAMpgGOK0whogQEBIJEdXANUDCgEQwhikQsJYQQQ8wWSngADgDiIQSVE+AyA5KscIGJQMGsJOVCmQQ

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:c08080c3fcfef6fe
Perceptual Hash:fc7b748189a481cf
Difference Hash:22000e0e30a42424
Wavelet Hash:c08080c0fcfefef6
Color Hash:#86622d

Scan History

Scan history not available

Unable to load historical scan data