Security Scan Report: www.cookislandsfootball.com

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Submitted: Completed: publiccompleted
This website contacted 12 IPs in 2 countries across 13 domains to perform 83 HTTP transactions. The main domain is cookislandsfootball.com and was registered 17 years ago.

Submitted URL: https://www.cookislandsfootball.com/ook-islands-make-history-with-stunning-3-2-victory-over-tahiti/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate news article on the long-established Cook Islands Football Association's own domain; self-branded, with only a site-search form and no malicious indicators.

Safety Factors (5)
Established domain age of ~17 years
Own-brand site with matching title, Open Graph and domain
No credential or payment fields on the page
Clean threat-intelligence, hunting rule and IDS results
Analytics/tracking scripts only from well-ranked, common providers (Google Analytics, Google Fonts, WordPress stats)
Domain age information unavailable

Details

Page Title

Cook Islands Make History with Stunning 3-2 Victory Over Tahiti | CookIslandsFootball.com

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.cookislandsfootball.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 19 characters in 'cookislandsfootball' split between seven vowels and twelve consonants. Breaking it apart gives three words: cook, islands, football. Median word length is 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

FIFA = OFC Cook Islands Football Association ABOUT CIFA 1 HOME COMPETITIONS! DEVELOPMENT! NEWS INTERMEDIARIES COOKISLANDSFOOTBALL.COM > NEWS > 2026 MEDIA RELEASES > COOK ISLANDS MAKE HISTORY WITH S...

Page Load Overview

5.13s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:5,480 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism70% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
70%
education learning
52%
corporate
35%
forum
25%
news/blog
20%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
48172.67.222.53Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
22157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6104.21.54.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.250.154.94Google · CDNUnited States
AS15169Google LLC
6216.239.32.36Google · CDNUnited States
AS15169Google LLC
3192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
2192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
2192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
2157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
8312--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134B3E823455C843725AFC3546594F30CEA938286CB8917C6F2FC23A45FCAEB264B765E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:h/TKc9eJxCIXCZS9w2KCJeajb8eTL9UR2PbcJgEANTc/s:DeJxCECZS9gawCh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109294:EcCMGAodcU5ER0sAMVFWEYD6AQSJpIBWZBhgmC1eBoRhAUQLEJBoJkAq5WCQiB6AQASAQhIGQCqCETEEOuCUiAoSECKioAIA

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:0000ffffdfe7e3e3
Perceptual Hash:e51a631a9ee1c39c
Difference Hash:4571ce2e2a0f0f0f
Wavelet Hash:0000ffff83e3c1e3
Color Hash:07000007000

Scan History

Scan history not available

Unable to load historical scan data