ScanMalware.com

Security Scan Report: woodcentral.com.au

Submitted: Apr 27, 2026, 11:23:01 AMCompleted: Apr 27, 2026, 11:24:43 AMpubliccompleted
Loading additional data...

Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 52 HTTP transactions. The main domain is woodcentral.com.au.

Submitted URL: https://woodcentral.com.au/weyerhaeuser-trains-ai-to-map-every-tree-in-its-10m-acre-estate/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site appears to be a news article on an unranked, newly‑registered domain with no malicious activity, but unknown age warrants caution.

Risk Factors
Unknown domain age
Unranked domain reputation
Brand mention on an unranked, newly‑registered domain
Safety Factors
Self‑branding matches the domain (no brand impersonation)
Content type is a news article, not a login or payment page
No forms collecting credentials or payments
No malicious indicators from threat intel, YARA, or IDS
Domain age information unavailable

Details

Page Title

Weyerhaeuser Trains AI to Map Every Tree in its 10M-Acre Estate | Wood Central

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(72%)

Domain Information

Domain 'woodcentral.com.au' uses the Australian country-code top-level domain (.com.au) without a subdomain. The registrable portion 'woodcentral' spans 11 characters containing 4 vowels alongside 7 consonants. Word splitting yields two words: wood, central. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://woodcentral.com.au/weyerhaeuser-trains-ai-to-map-every-tree-in-its-10m-acre-estate/

Page Load Overview

7.87s
Total Load Time
133
HTTP Requests
18
Domains
5.1 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-US
Text Length:9,833 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
72%
news media journalism
55%
real estate property
40%
news/blog
35%
education learning
27%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16162.159.137.54United States
AS13335Cloudflare, Inc.
13172.217.208.95United States
AS15169Google LLC
13157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
13142.251.110.94United States
AS15169Google LLC
1323.45.237.21Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
13104.17.24.14United States
AS13335Cloudflare, Inc.
13142.251.14.156United States
AS15169Google LLC
13172.66.158.41United States
AS13335Cloudflare, Inc.
13104.20.23.134United States
AS13335Cloudflare, Inc.
13142.251.13.97United States
AS15169Google LLC
13310--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10BB4D6326C64283A75270298B099F339B3DA5085EBCD0E94F75DDE5C8BC6B9183B3359

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ychTX3BArytNQ9TcDnFbSETXXwiaoeSTS/:x6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:513954:EIKUPILYBVBQRogugVxgTCBBgAQADRhKgAGFlU4yhtkMTcEBYQhklBFC6ADEOICCVgAwAQYUwXAgOTBEYCuBMY0AVAH7AwhA

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:ffffefffe3e7c3c1
Perceptual Hash:e39c3926c99e3233
Difference Hash:321e1b238f8f8f9b
Wavelet Hash:9fe781f9c1c1c1c1
Color Hash:#931f40

Other Hashes

Crop Resistant:321e1b238f8f8f9b,130f2b2f0d154dca,e3e33361192e30f1

Scan History

Scan history not available

Unable to load historical scan data