Security Scan Report: thefanhq.com

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Submitted: Completed: publiccompleted
This website contacted 32 IPs in 3 countries across 19 domains to perform 101 HTTP transactions. The main domain is thefanhq.com and was registered 2 years 1 month ago.

Submitted URL: https://thefanhq.com/players/5930-case-keenum

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Self-branded NFL player stats page on a 772-day-old domain. No forms, no credential/payment capture, and no Indicators of Compromise; the 'Facebook' flag is a false positive from an OAuth sign-in button.

Safety Factors (5)
Clear self-branding: page title, og:title and og:site_name all read 'The Fan HQ', matching the domain
No forms of any kind, therefore no credential harvesting or payment capture
Domain age 772 days — well beyond the new-domain risk window
No Indicators of Compromise, no YARA malware patterns, no known malicious kits, no JavaScript behavioral signals
Cross-origin requests limited to normal third-party services (Stripe, Google/Apple/Microsoft OAuth, ESPN CDN, CloudFront, Wikimedia)
Domain age information unavailable

Details

Page Title

Case Keenum | The Fan HQ

Scan Type

public

Domain Name Analysis

The domain 'thefanhq.com' uses the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'thefanhq' stretches across 8 characters split between 2 vowels and six consonants. Splitting it apart reveals three words: the, fan, hq. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://thefanhq.com/players/5930-case-keenum

Page Load Overview

6.39s
Total Load Time
12.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,741 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

gambling betting
80%
documentation technical
48%
news media journalism
36%
adult content
35%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
865.8.131.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
354.173.207.142Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3184.194.154.80Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
32.18.244.203Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
3142.251.127.84Google · CDNUnited States
AS15169Google LLC
3104.20.39.36Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3199.232.89.91Fastly · CDNNewark, New Jersey, United States
AS54113Fastly, Inc.
323.2.13.19Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3185.15.59.224United States
AS14907Wikimedia Foundation Inc.
10132--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA83C79582101035C123ECEBE462A69C666EC22BDA01ECE29FE477F779C9DD02453B5F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mwT3qUj1OI9iHvnDGy5JHIAeyD8TqC7R0YVjV60t0P050/0i3qBfQWv5v1490H9b:mwT3qUj1d9WvnDGy5JHIAeyD8TqC7R0O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:81086:WIVCgdnBCQzBDVACCZ0KBg+kCBLmhGVESOJMAFCCAkQAck7Lo7gAwwOEBAbD6isAD2EWyJmEoNCjgAK+gpNIABuAGBAsEQBa

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:0000183c3c1c0000
Perceptual Hash:9c36731c59599966
Difference Hash:340cb2b2b2b2d0eb
Wavelet Hash:00007e7e3e7e3e39
Color Hash:#6a2d86

Scan History

Scan history not available

Unable to load historical scan data