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Security Scan Report: www.mcnews.com.au

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Submitted: May 3, 2026, 11:46:20 AMCompleted: May 3, 2026, 11:48:13 AMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 17 domains to perform 128 HTTP transactions. The main domain is mcnews.com.au.

Submitted URL: https://www.mcnews.com.au/philadelphia-supercross-2026-results-davies-roczen/

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Moderate risk site; new, unranked domain with obfuscated JavaScript and a newsletter form, but no malicious indicators.

Risk Factors
Unknown domain age
Unranked domain reputation
High JavaScript obfuscation score
Cross‑origin form submission (potential data exfiltration vector)
Safety Factors
Self‑branding matches domain (mcnews)
Page type is article (og:type=article) – content reporting, not impersonation
No password or payment fields present
No malicious IoC or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Philadelphia Supercross 2026 Results | Davies Champion, Roczen Leads 450 | MCNews

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(73%)

Domain Information

You're looking at domain 'www.mcnews.com.au' on the Australian country-code top-level domain (.com.au) with subdomain 'www'. The second-level label 'mcnews' is 6 characters long split between 1 vowel and five consonants. It segments into 2 words: mc, news. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mcnews.com.au/philadelphia-supercross-2026-results-davies-roczen/

Page Load Overview

8.87s
Total Load Time
280
HTTP Requests
20
Domains
14.0 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-GB
Text Length:24,565 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
73%
documentation technical
72%
news media journalism
71%
adult content
70%
blog personal website
64%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25143.204.181.26United States
AS16509Amazon.com, Inc.
17104.16.160.145United States
AS13335Cloudflare, Inc.
17142.251.13.95United States
AS15169Google LLC
17146.75.120.134Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1765.8.131.78United States
AS16509Amazon.com, Inc.
17151.101.64.134United States
AS54113Fastly, Inc.
17104.21.59.241United States
AS13335Cloudflare, Inc.
17142.251.14.94United States
AS15169Google LLC
17104.16.80.73United States
AS13335Cloudflare, Inc.
17142.251.14.139United States
AS15169Google LLC
28016--

Detected Technologies10

WordPressv6.9.1
100%
MetaGenerator
100%
Google-AnalyticsvUniversal
100%
Cloudflare Bot Management
55%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudways
40%
Cloudflare
40%
Gravatar
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13955CAA34465447D22AB71C3BF106F6271E5702AE90644E2E3ACB1BC43DACF53A73796

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:7M6jBT9hwwaJexhE3IjHs9iFTxHQqY/xansR98kkW53v8tsgr0C2IJahVV9haomV:46OwaI0xZC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1327084:HQkiQdpGgJCB6AKEYTUAkyJ420EiP0RQEMSC4IAAuUFEgv4ULKAgECCCQwgIEAIBvEwFOwMCBj8CRoO2hQIjA1EBAINoQAAF

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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