Security Scan Report: footballabsurdity.com

Submitted: Sep 27, 2026, 9:41:37 PMCompleted: Sep 27, 2026, 9:42:21 PMpubliccompleted

This website contacted 24 IPs in 2 countries across 14 domains to perform 89 HTTP transactions. The main domain is footballabsurdity.com and was registered 21 years ago.

Submitted URL: https://footballabsurdity.com/2022/07/28/2022-mark-andrews-fantasy-football-player-profile/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Established 9-year-old self-branded fantasy football blog article with no forms, no impersonation, and no malware. Only an unverified single-source reputation flag on an outbound tiny.cc shortener link; low risk overall.

Risk Factors (1)
Outbound link to tiny.cc, a URL-shortener domain with a single-source, unverified phishing/wallet-drainer reputation report
Safety Factors (5)
Established 9-year-old domain with physical address and business entity indicators
Self-branding matches domain — no impersonation of another entity
Article/news content page, not a login or payment page
No credential or payment forms, no hidden password fields, no cross-origin form actions
All third-party script hosts ranked in the top-1M popularity list; no malicious JS behavior
Domain age information unavailable

Details

Page Title

2022 Mark Andrews Fantasy Football Player Profile – Football Absurdity

Scan Type

public

Domain Name Analysis

The domain name 'footballabsurdity.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'footballabsurdity' covers 17 characters with six vowels and eleven consonants. It segments into two words: football, absurdity. Median word length is 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://footballabsurdity.com/2022/07/28/2022-mark-andrews-fantasy-football-player-profile/

Page Load Overview

0.63s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:71,564 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media66% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
66%
government public service
43%
technology software
43%
documentation technical
37%
adult content
36%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2018.66.122.90Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
399.84.152.123Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3142.251.13.154Google · CDNUnited States
AS15169Google LLC
3192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
3192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
3192.0.78.33San Francisco, California, United States
AS2635Automattic, Inc
3142.251.20.94Google · CDNUnited States
AS15169Google LLC
3146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3142.251.110.100Google · CDNUnited States
AS15169Google LLC
8924--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8D4A632F840152FAB3B45C8A649D70A72D6A31FF4D90450E5DA076C8BE5EBCB42F297

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:eeqlv3/JJR1FGBzw5dRcXU2Q2AXuB6ehKjcdsFBiazo:s//JJR1Ccfcdao

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:623674:AkAQDgQAAYSEETMpBIjAADkzCwAi6OQJBH8XqC5UWCCCAEAGUAi1Ig+MEFFkcCEGAWAuBXQEnTSAMIAIAAIACGAjUggIIQFk

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:01183c3c1c1c0000
Perceptual Hash:9cc9363c696d9869
Difference Hash:0b70b2b232302c0c
Wavelet Hash:007e7e7e1e1e0687
Color Hash:#87c59c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data