Security Scan Report: www.bavarianfootballworks.com

Submitted: Oct 7, 2025, 11:57:57 PMCompleted: Oct 7, 2025, 11:58:53 PMpubliccompleted
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Summary

This website contacted 57 IPs in 2 countries across 24 domains to perform 127 HTTP transactions. The main domain is bavarianfootballworks.com and was registered NaN years ago.

Submitted URL: https://www.bavarianfootballworks.com/bayern-munich-transfer-news-rumors/141548/bayern-munich-liverpool-fc-barcelona-real-madrid-crystal-palace-center-back-marc-guehi

The Cisco Umbrella rank of the primary domain is #663,151 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Domain age over 13 years (well-established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Content is standard news/reporting, not impersonating official club sites
Domain age information unavailable

Details

Page Title

Report: Bayern Munich, Liverpool, FC Barcelona, Real Madrid among clubs competing for Crystal Palace center-back Marc Guéhi | Bavarian Football Works

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(39%)

Domain Information

The domain name 'www.bavarianfootballworks.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The core label 'bavarianfootballworks' covers 21 characters with 8 vowels and 13 consonants. Breaking it apart gives 3 words: bavarian, football, works. Expect 8 characters per word on average. 'bavarian' most strongly signals English. It also appears in Chinese (Pinyin) and Indonesian contexts. Taken together, it feels English.

Screenshot

Security scan screenshot of https://www.bavarianfootballworks.com/bayern-munich-transfer-news-rumors/141548/bayern-munich-liverpool-fc-barcelona-real-madrid-crystal-palace-center-back-marc-guehi

Page Load Overview

14.45s
Total Load Time
127
HTTP Requests
24
Domains
4.4 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:23,472 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
39%
news/blog
20%
forum
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15142.250.185.232United States
AS15169GOOGLE
2104.18.87.42United States
AS13335CLOUDFLARENET
2104.17.25.14United States
AS13335CLOUDFLARENET
2146.75.120.124Frankfurt am Main, Hesse, Germany
AS54113FASTLY
218.244.18.122United States
AS16509AMAZON-02
2172.64.155.110United States
AS13335CLOUDFLARENET
2142.250.74.194United States
AS15169GOOGLE
218.245.86.113United States
AS16509AMAZON-02
2216.58.206.72United States
AS15169GOOGLE
2108.138.3.93United States
AS16509AMAZON-02
12757--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B234D726005C582B836B47C536A53B85F0B2E15BF9D683A877EE7BDD53C2DC2D42306A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:awBsPuv2NLFsHeJCXkTNvCZVwQMuZeeEhBQ/eeWxBee2SueeQlKeerJSeebCJCz5:awGs2gV/JCDPiBuh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:251614:WAADkhiaCfQBAJHhOVIECyOCoTcUAQBUBA+IgEAukKFkshAgAZqDggrGMmFkDwAQIkQF5CiGAYEIBkR4LBHIYwRixzqgTJRH

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:0000ffd7cfffc1c3
Perceptual Hash:b8164332366b87f9
Difference Hash:0d0d002c3c292b2b
Wavelet Hash:0000ffc7c7ff81c3
Color Hash:#b5e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data