Security Scan Report: www.bleedcubbieblue.com

Submitted: Nov 3, 2025, 6:54:59 PMCompleted: Nov 3, 2025, 7:03:43 PMpubliccompleted
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Summary

This website contacted 123 IPs in 5 countries across 43 domains to perform 223 HTTP transactions. The main domain is bleedcubbieblue.com and was registered NaN years ago.

Submitted URL: https://www.bleedcubbieblue.com/2019/11/13/20962562/gabe-kapler-questions-giants-new-manager

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Standard informational content without suspicious forms
No external links to known malicious sites
Domain age information unavailable

Details

Page Title

There are questions surrounding Gabe Kapler that still need to be answered | Bleed Cubbie Blue

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(68%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.bleedcubbieblue.com' is registered, featuring subdomain 'www'. The second-level label 'bleedcubbieblue' is 15 characters long with 7 vowels and eight consonants. Segmentation suggests 4 words: bleed, cub, bie, blue. Median word length is 3.5 characters. Most frequently, 'leed' shows up in Spanish. Secondary signals appear in French and English.

Screenshot

Security scan screenshot of https://www.bleedcubbieblue.com/2019/11/13/20962562/gabe-kapler-questions-giants-new-manager

Page Load Overview

9.81s
Total Load Time
223
HTTP Requests
43
Domains
5.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:31,885 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network68% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
68%
adult content
28%
forum community discussion
26%
news/blog
20%
forum
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
101142.250.184.226United States
AS15169GOOGLE
42172.64.146.152United States
AS13335CLOUDFLARENET
41146.75.121.246Frankfurt am Main, Hesse, Germany
AS54113FASTLY
16104.18.41.104United States
AS13335CLOUDFLARENET
13104.18.87.42United States
AS13335CLOUDFLARENET
11108.138.3.93United States
AS16509AMAZON-02
11172.66.148.140United States
AS13335CLOUDFLARENET
10192.0.66.223San Francisco, California, United States
AS2635AUTOMATTIC
813.33.186.215New York, New York, United States
AS16509AMAZON-02
7142.251.140.166United States
AS15169GOOGLE
223123--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC440875028A1C3B83BB07C925947F89A2F3A06FF9C601A476DB5BD953C1ED2D423279

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:yMes+pHgW3kqykOzLG1d5utv7GIokee+FfeebnQee/+EieeDfweeZa1eeNWzMmzn:yMQpHzzFytvZzMmJiI7Gs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:272603:AIAHSQAAiAIUMVRIWNYAECiNBUNCVoDFNqUACKAYohMgQ28JzQlNCiSExcUMIKEB2cQwAsKDvyBAJwIQFJABrEIKkLKMgQFo

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:0000fffffffff9ff
Perceptual Hash:b816494d3669d6e9
Difference Hash:f131003d3c2e233b
Wavelet Hash:0000ffc7dfff8181
Color Hash:#93401f

Scan History

Scan history not available

Unable to load historical scan data