Security Scan Report: www.blackshoediaries.com

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Submitted: Nov 22, 2025, 11:18:53 PMCompleted: Nov 22, 2025, 11:20:39 PMpubliccompleted
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Summary

This website contacted 100 IPs in 3 countries across 38 domains to perform 172 HTTP transactions. The main domain is blackshoediaries.com and was registered NaN years ago.

Submitted URL: https://www.blackshoediaries.com/mens-basketball/82117/penn-state-basketball-vs-providence-preview-kayden-mingo-mike-rhoadesa-tough-spot-for-dear-old-state

The Cisco Umbrella rank of the primary domain is #488,061 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age over 19 years (well‑established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
Content appears to be a standard sports news article
Domain age information unavailable

Details

Page Title

Penn State vs. Providence Preview: A Tough Spot for Dear Old State | Black Shoe Diaries

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(94%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.blackshoediaries.com' is registered with subdomain 'www'. Count 16 characters in 'blackshoediaries' with 7 vowels and nine consonants. Segmentation suggests three words: black, shoe, diaries. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.blackshoediaries.com/mens-basketball/82117/penn-state-basketball-vs-providence-preview-kayden-mingo-mike-rhoadesa-tough-spot-for-dear-old-state

Page Load Overview

1.76s
Total Load Time
172
HTTP Requests
38
Domains
4.8 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:21,954 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network94% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
94%
gambling betting
42%
entertainment media
42%
adult content
36%
forum
35%

Detected Features

Search
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
73216.239.34.36United States
AS15169GOOGLE
44146.75.121.246Frankfurt am Main, Hesse, Germany
AS54113FASTLY
14146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
13104.18.86.42United States
AS13335CLOUDFLARENET
11104.20.47.80United States
AS13335CLOUDFLARENET
10192.0.66.223San Francisco, California, United States
AS2635AUTOMATTIC
8146.75.120.124Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7142.250.74.198United States
AS15169GOOGLE
7172.64.146.152United States
AS13335CLOUDFLARENET
634.120.171.7Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
172100--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10934E53A016D403B82770B8335613B9AE1A7915FFA9243D876EA6BD913C5DC7D0132BB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nMsusjjUcGeGMvUThgN7DSueeieteeVuWeep0ieePQZeeMs6eeJKVBucCWaLWt+R:nMsFjUcfiougH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:243537:WCBKUwIIVEIQaLaAAEASyGNBgCDoHoBIEWIEAVRmZgDaCAqCgAaZIWR6yJjHqhRREwKBYaQAUSJAl4ZBFKiAMNRoVQGCBpGo

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:0000fffffffffbff
Perceptual Hash:e916494b366996e9
Difference Hash:d1f1002c2c2e233b
Wavelet Hash:0000ffc7dfff8181
Color Hash:#78753a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data