Security Scan Report: battlebots.fandom.com

Submitted: Completed: publiccompleted
This website contacted 12 IPs in 2 countries across 2 domains to perform 10 HTTP transactions. The main domain is fandom.com and was registered 30 years ago.

Submitted URL: https://battlebots.fandom.com/wiki/Jenny_Taft

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: 92%

0
Risk Score

Legitimate Fandom wiki article on a 29-year-old, top-10K-ranked domain; no forms, no impersonation, no Threat Intelligence, YARA, or Indicators of Compromise hits.

Safety Factors (6)
Domain age ~29 years (registered 1996-10-11) — WELL_ESTABLISHED, minimal age risk
Cisco Umbrella top 10K ranking (8865)
Self-branding detected: title/meta match the domain, not impersonation
No credential, payment, or login forms present on the page
Clean threat intelligence: no Indicators of Compromise, no YARA matches, no kit-roster hits
Cloudflare bot-protection challenge is ordinary anti-bot protection used by the vast majority of legitimate sites, not an evasion signal given the clean content
Domain age information unavailable

Details

Page Title

Jenny Taft | BattleBots Wiki | Fandomother network

Scan Type

public

Domain Name Analysis

You're looking at domain 'battlebots.fandom.com' on the commercial generic top-level domain (.com), featuring subdomain 'battlebots'. The core label 'fandom' covers 6 characters containing 2 vowels alongside 4 consonants. Splitting it apart reveals 1 word: fandom. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://battlebots.fandom.com/wiki/Jenny_Taft

Page Load Overview

0.75s
Total Load Time
630 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:396 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0143.204.173.87Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0162.159.142.170Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.66.2.166Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.178.183.157Google · CDNUnited States
AS15169Google LLC
0146.75.122.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
0142.251.127.84Google · CDNUnited States
AS15169Google LLC
0104.18.20.31Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.20.35.150Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1012--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2B2C85F708988332299425FAC79F407B2FC395782DE194AF0EB88F96958FC43456B27

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:w77muA4QaL6du+VfOcIc+Zb7TwDgvgDwlSjf+dumFu3gmy3G639Y7qa2oEuahRL6:w7FA4QE6duFcoFLmy3G639Y7qatEuahE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25656:ZQGBEYQFhMRw5hfIZpUEoA4qgpa0YkQEh6AEggBy2nANngIRIEIAGlKmosmKCkAlacMACCBJAANgEisICyiNgaov8kUoDcCv

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:cfc7c7ffffffffe7
Perceptual Hash:b03832cfc6cccecc
Difference Hash:181e1c100000000c
Wavelet Hash:3c0000383f3f3f03
Color Hash:#931f4a

Other Hashes

Crop Resistant:181e1c100000000c

Scan History

Scan history not available

Unable to load historical scan data