Security Scan Report: eflchampionship.co.uk

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Submitted: Completed: publiccompleted
This website contacted 17 IPs in 4 countries across 7 domains to perform 141 HTTP transactions. The main domain is eflchampionship.co.uk and was registered 3 months ago.

Submitted URL: https://eflchampionship.co.uk/h2h/ipswich-town-vs-fulham

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Independent football stats site displaying its own 'EFLChampionship' brand and an explicit non-affiliation disclaimer. No forms capture credentials or payment, no threat-intel or malware hits. Only weak priors (new, unranked domain).

Risk Factors (1)
Young domain (60 days) that is unranked — weak prior, not evidence of wrongdoing
Safety Factors (4)
Only search forms present (total forms = 2, no password, disguised-password or payment fields)
Explicit non-affiliation disclaimer regarding the English Football League and betting sponsors
Content is informational sports statistics with no credential collection or redirection (0 redirects)
No Indicators of Compromise, hunting-rule hits, IDS alerts or malicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Ipswich Town v Fulham H2H record (4-2-4) | EFLChampionship

Scan Type

public

Domain Name Analysis

The domain 'eflchampionship.co.uk' uses the United Kingdom country-code top-level domain (.co.uk) with no subdomain. Count 15 characters in 'eflchampionship' containing five vowels alongside ten consonants. Breaking it apart gives two words: efl, championship. Median word length is 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eflchampionship.co.uk/h2h/ipswich-town-vs-fulham

Page Load Overview

22.28s
Total Load Time
3.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-GB
Text Length:2,436 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
820.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
8172.66.164.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
852.95.142.46Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
8150.171.109.100Azure · CLOUDUnited States
AS8075Microsoft Corporation
83.5.217.135Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
8172.175.38.6Azure · CLOUDBoydton, Virginia, United States
AS8075Microsoft Corporation
8188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
83.5.245.206Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
852.95.142.78Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
14117--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1065361342115C99EB8976A9922FFBF35648B817FC657CD30D6BECA104386879A743F80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mO+ma9AZe9QenYeYQeeeel7eF7euTetpet6evUSD:mMa9Eh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64823:IyuKgeEQIkZImoASqqBhCFSoBEtkQApGL9ZoAheUgkGICp4CwIBSQIJYIbXMgQHlHElMQFASMBdQlCPGIUiYMDYBtVBBh1Ap

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:00ffffffffffffc3
Perceptual Hash:b44b704a344f745f
Difference Hash:b1006454202c6886
Wavelet Hash:007c7c7c1d757741
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data