Security Scan Report: yankees.mlblogs.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.

Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 1 country across 3 domains to perform 12 HTTP transactions. The main domain is mlblogs.com and was registered 21 years ago.

Submitted URL: https://yankees.mlblogs.com/alex-rodriguez-the-football-fan-e03062160cb1

The Cisco Umbrella rank of the primary domain is #669,468 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate archived sports blog post on an established Medium subdomain. No forms, no credential/payment collection, no threat-intel hits, and the bot-protection mismatch is normal for legitimate sites.

Safety Factors (5)
Domain age is 7915 days (well established, >365 days).
Domain is in Cisco Umbrella top 1M (rank 669468), indicating some legitimate traffic.
Legal pages (terms/privacy) present, typical of legitimate platforms.
No forms, no credential harvesting, no payment collection.
Content is an archived sports blog post with clear attribution and authorship.
Domain age information unavailable

Details

Page Title

Alex Rodriguez … the Football Fan | by MLB.com/blogs | Homestand Blog by Yankees Magazineother network

Scan Type

public

Domain Name Analysis

The domain 'yankees.mlblogs.com' uses the commercial generic top-level domain (.com) with subdomain 'yankees'. Count 7 characters in 'mlblogs' containing 1 vowel alongside six consonants. It segments into 2 words: mlb, logs. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yankees.mlblogs.com/alex-rodriguez-the-football-fan-e03062160cb1

Page Load Overview

0.69s
Total Load Time
961 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:392 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
blog personal website
40%
phishing/scam
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4162.159.152.4Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.155.119Google · CDNUnited States
AS15169Google LLC
1162.159.153.4Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1192.178.183.97Google · CDNUnited States
AS15169Google LLC
1216.239.32.36Google · CDNUnited States
AS15169Google LLC
1104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
129--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5040A67FC4059BE4207C7ADA8567ABEF30F043EC68B5DE094DDEEA86B84D93011E944

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:MlJsu+W3sXyrq2gVHsYxgdehYmhFhrz+Hhu9y+dhNhSsh3hZz+s9Tk/Yd7L9PiLl:usu+W01m5HoinGUWNffKa7hx+RB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:179160:BLQEKDqtgEBQ0KAECAguYMOMJBHI5CxPAhFo9BGDFCIYgxwRGAYhCBMJsQU40QhKJgMUEBmQMowoAWBQWgOIqaRNABA0XICF

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:c187ffffe7e7e7e7
Perceptual Hash:b276726262636373
Difference Hash:8d1c1d1c0c1e1e1c
Wavelet Hash:00838fcfc7c3c3c7
Color Hash:#e06c6c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data