Security Scan Report: scoobydooandguesswho.fandom.com

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Completed: publiccompleted
This website contacted 22 IPs in 4 countries across 2 domains to perform 10 HTTP transactions. The main domain is fandom.com and was registered 30 years ago.

Submitted URL: https://scoobydooandguesswho.fandom.com/wiki/Matthew_Lillard

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

AI Security Verdict

Low Risk

Confidence: 88%

3
Risk Score

Official fandom.com wiki article on actor Matthew Lillard. Established top-10K domain, zero forms, no impersonation, no Indicators of Compromise or malware. Only a generic obfuscated-JS IDS heuristic, which is a common false positive on large wikis.

Risk Factors (1)
Two HIGH-severity Suricata alerts for obfuscated JavaScript (ET WEB_CLIENT Obfuscated Javascript // ptth) add +2 to the risk score, though this is a generic heuristic that commonly fires on legitimate minified content-delivery scripts
Safety Factors (6)
Official, well-established domain (fandom.com, registered 1996) ranked in the Cisco Umbrella top 10K
No forms of any kind — no credential, login, or payment collection on the page
Self-branding consistent with the domain; no brand impersonation or typosquatting
No Indicators of Compromise, no Safe Browsing hit, no YARA malware, no malicious kit roster match
Content is ordinary wiki/encyclopedia material about an actor, with standard cookie-consent and Fandom account UI
Scanner-vs-client mismatch is explained by Cloudflare bot protection on a legitimate platform, not evasion
Domain age information unavailable

Details

Page Title

Matthew Lillard | Scooby-Doo and Guess Who? Wiki | Fandomother network

Scan Type

public

Domain Name Analysis

The domain 'scoobydooandguesswho.fandom.com' uses the commercial generic top-level domain (.com) and includes subdomain 'scoobydooandguesswho'. Its registrable label 'fandom' stretches across 6 characters split between 2 vowels and 4 consonants. It segments into 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://scoobydooandguesswho.fandom.com/wiki/Matthew_Lillard

Page Load Overview

0.93s
Total Load Time
989 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-us
Text Length:416 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.66.2.166Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0162.159.142.170Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.87.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.20.32.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.20.157Google · CDNUnited States
AS15169Google LLC
0143.204.173.87Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0172.66.148.159Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.127.84Google · CDNUnited States
AS15169Google LLC
0146.75.122.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
0104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1022--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1902529F6236812BD9A83C769EA23B585321F64BFFE7245D8F15D8A7807C76D4DA03804

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:erVzPGcU/sJ+OdFGSyCFxeer3iVwHLT3k/rWSot0gFVmLZjneUk8O/Xw3X82lszG:erVzPGcU8dFGSMVwxt0hkXwHKo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1050926:A0kyEFoiFG1zAFGZOwQmgIBqTAQGSoiAo+WEFR1WpIYJKoZBQtBVQJmgQUqIrEmCFFYEABFfYAaQRDK0RSjSsgAyolcATAEB

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:80000000fe70ffff
Perceptual Hash:fe7bba449962c490
Difference Hash:24012501e0e4e4f1
Wavelet Hash:80008080fef6ffff
Color Hash:#bf6440

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data