Security Scan Report: the-bad-guys.fandom.com

Submitted: Mar 24, 2026, 2:47:36 PMCompleted: Mar 24, 2026, 2:48:46 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 8 HTTP transactions. The main domain is the-bad-guys.fandom.com and was registered NaN years ago.

Submitted URL: https://the-bad-guys.fandom.com/wiki/Zazie_Beetz

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: 95%

0
Risk Score

Legitimate informational wiki page about Zazie Beetz; no phishing or malware detected.

Safety Factors
Well‑established domain
Top 10 k Cisco Umbrella ranking
Article page with no login or payment forms
No malicious Indicators of Compromise
No YARA malware detections
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(85%)

Domain Information

Within the commercial generic top-level domain (.com), 'the-bad-guys.fandom.com' is registered with subdomain 'the-bad-guys'. Its registrable label 'fandom' stretches across 6 characters holding two vowels versus four consonants. Word splitting yields 1 word: fandom. Median word length is 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://the-bad-guys.fandom.com/wiki/Zazie_Beetz

Page Load Overview

4.65s
Total Load Time
84
HTTP Requests
21
Domains
1000 KB
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:21,404 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media85% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
85%
adult content
64%
education learning
38%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28104.18.94.41Germany
28172.66.2.166United States
AS13335Cloudflare, Inc.
28104.16.79.73United States
843--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182F2D733AA54132F7113C79D7780F98563316A029F16B3B7F96453B49F8D19E2A2338A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OwLWsGaKObvJaIbEmdJkWC8XW1VYe7P0Gan:V0aKObRJkWJG1N7P0Gan

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36218:JaEJR6ABQpqJ1ACAA1UAAAcZAAlkwIUAGBDHAkJwAAiIQDi7BSAiD1cG7ilVQHcrQAMsk2hghYlCEYrQA4QwG4gDgBWrAAEO

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:ffc7c3c7c3c3c7ff
Perceptual Hash:b131cfc4c3cccccc
Difference Hash:081c161e1e161608
Wavelet Hash:fec6c2c2c2c2c2e7
Color Hash:#c5e06c

Other Hashes

Crop Resistant:081c161e1e161608

Scan History

Scan history not available

Unable to load historical scan data