Security Scan Report: www.zerotackle.com

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Submitted: Sep 27, 2026, 8:39:54 AMCompleted: Sep 27, 2026, 8:41:25 AMpubliccompleted

This website contacted 138 IPs in 8 countries across 136 domains to perform 514 HTTP transactions. The main domain is zerotackle.com and was registered 30 years ago.

Submitted URL: https://www.zerotackle.com/nrl-set-to-trial-new-kick-off-rule-in-grand-final-rematch-237352/

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

Legitimate sports news site with no forms or impersonation, but it loads a third-party resource from puthgoodsget.com, flagged as macOS malware by 2 feeds. High risk due to malware distribution.

Risk Factors (1)
Loads third-party resource from a domain reported as macOS malware by multiple feeds
Safety Factors (6)
Established domain (15 years old)
Legitimate business indicators: physical address and business entity mentioned
No credential or payment forms
Self-branded site, not impersonating another brand
Article-type content with clear attribution
Established domain (5816 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

NRL set to trial new kick-off rule in Grand Final rematch - Zero Tackle

Scan Type

public

Domain Name Analysis

Domain 'www.zerotackle.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'zerotackle' covers 10 characters split between 4 vowels and 6 consonants. Tokenizing the label suggests 2 words: zero, tackle. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.zerotackle.com/nrl-set-to-trial-new-kick-off-rule-in-grand-final-rematch-237352/

Page Load Overview

16.69s
Total Load Time
22.2 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:79,754 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
news media journalism
43%
forum
35%
corporate
35%
adult content
28%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
103104.26.13.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.166.84Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.111.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
3146.75.121.44Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3104.18.1.251Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
337.157.4.21Denmark
AS198622Adform A/S
318.66.147.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3104.20.20.189Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.21.37.193Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
514138--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB754B65B940343F57BB40D4915F930DB3A7920AF6894490F2ADCB984FE9E6C603B37A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:o8OpunqmDUCzBR1EWejqIDD4Uswb2/OZ6fO9:SpuqmDUWeRD4Uswq/OZ6fO9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1672595:iYIbxhhA00AAwlQUHgxA0WaUArIgiotQVSki0NK8CQGkJSRC6McQCiZCEEYCNBqoYAmJAWoBgpcNdwwhkIKHQwSBMDwYgILJ

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:00003c3c1c381800
Perceptual Hash:c9126769b4e9899e
Difference Hash:17b2b2b232333312
Wavelet Hash:00003f3f9fb93971
Color Hash:#a787c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data