Security Scan Report: www.scoop.my

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Submitted: Oct 4, 2026, 7:38:25 AMCompleted: Oct 4, 2026, 7:39:37 AMpubliccompleted

This website contacted 124 IPs in 9 countries across 85 domains to perform 512 HTTP transactions. The main domain is scoop.my and was registered 24 years ago.

Submitted URL: https://www.scoop.my/sports/289498/malaysias-hockey-talent-pipeline-broken-scouting-system-needs-reset-dharma-raj/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established Malaysian news site (scoop.my) serving an article on hockey development. Self-branded, no credential or payment forms, no threat-intel, malware or IDS hits. Legitimate.

Safety Factors (5)
Established domain registered 2023 (3+ years old)
Self-branding: title/meta brand 'Scoop' matches the domain, not impersonation of another entity
Article-type news content with no credential or payment collection
No Indicators of Compromise, malware, phishing kits or IDS alerts
Hidden link block contains only benign social media links (Facebook, Instagram, TikTok, YouTube, X, Threads)
Domain age information unavailable

Details

Page Title

Malaysia’s hockey talent pipeline broken, scouting system needs reset: Dharma Raj | Scoop

Scan Type

public

Domain Name Analysis

The domain 'www.scoop.my' uses the Malaysian country-code top-level domain (.my) and includes subdomain 'www'. The registrable portion 'scoop' spans 5 characters with two vowels and three consonants. Tokenizing the label suggests one word: scoop. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.scoop.my/sports/289498/malaysias-hockey-talent-pipeline-broken-scouting-system-needs-reset-dharma-raj/

Page Load Overview

11.34s
Total Load Time
10.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-MY
Text Length:8,507 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism62% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
62%
government public service
60%
news/blog
50%
education learning
48%
adult content
41%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.14.95Google · CDNUnited States
AS15169Google LLC
4142.251.110.97Google · CDNUnited States
AS15169Google LLC
43.160.150.71Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4142.251.127.154Google · CDNUnited States
AS15169Google LLC
465.8.131.51Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4104.17.111.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.14.94Google · CDNUnited States
AS15169Google LLC
43.171.214.119Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
43.77.19.59Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
512124--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C942A63E7A420A565030294656FB3BC7BBD6003CB851EB4F9FCB7548FC9AE25272748

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9XGafTjfdAwUHUS88WUSUUUDQNmo33LXA6OL/KICcM4mjwwkOIFC55eZ:5ZjfEQNmo33jOL8RcZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:438001:pgIwOQB4QoQFsAKDDTALQARHUAKaYAQAyZOA6AFgcDsRUUwAGoAqRQRDgCCGALATQAMwqCBQcUwFgHIAoNpoCWARBjkAFoDL

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:ffff878787c1e9fb
Perceptual Hash:bb96cd639649324c
Difference Hash:e4040f0b0f0b133b
Wavelet Hash:fff781858181c9c9
Color Hash:#e06c6c

Scan History

Scan history not available

Unable to load historical scan data