Security Scan Report: minister.dcceew.gov.au

Submitted: Completed: publiccompleted
This website contacted 17 IPs in 2 countries across 9 domains to perform 41 HTTP transactions. The main domain is dcceew.gov.au.

Submitted URL: https://minister.dcceew.gov.au/bowen/media-releases/next-step-include-emissions-reduction-national-energy-objectives

The Cisco Umbrella rank of the primary domain is #524,094 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

Official Australian Government minister page (dcceew.gov.au) hosting a genuine 2022 media release. No forms beyond site search, no Indicators of Compromise, no malware — legitimate.

Safety Factors (5)
Established government domain (registered 2008, .gov.au namespace)
Self-branding matches domain (Australian Government / Minister Chris Bowen)
No credential, password or payment forms on page
No threat-intel, hunting rule, IDS or Safe Browsing hits
Content consistent with official government press release, includes departmental attribution and Traditional Owners acknowledgement
Domain age information unavailable

Details

Page Title

Next step to include emissions reduction in the National Energy Objectives | Ministers

Scan Type

public

Domain Name Analysis

The domain name 'minister.dcceew.gov.au' uses the Australian country-code top-level domain (.gov.au), featuring subdomain 'minister'. Its registrable label 'dcceew' stretches across 6 characters with two vowels and four consonants. Segmentation suggests three words: dc, cee, w. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

srheyhion\Ghris|Bowen| Mpg Minister, for, Climate Change and Energy, Media Speeches Transcripts Articles Contact Subscribe Q Search releases Home Biography Chris Bowen / Mediareleases / Next step...

Page Load Overview

3.10s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,054 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
50%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
923.50.131.143Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.251.127.97Google · CDNUnited States
AS15169Google LLC
2172.217.208.95Google · CDNUnited States
AS15169Google LLC
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
2142.251.127.157Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2192.178.183.94Google · CDNUnited States
AS15169Google LLC
2142.251.14.113Google · CDNUnited States
AS15169Google LLC
22.16.204.20Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
4117--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC821A0319E83133044392966A35F66CDB76C966E7065086F3FC429DDFCAE958E2362E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:91nxKhXaye7V9YgHnJCh6QRlyWzHBJRpKX:91xcTe7YuU6QRldzHO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17699:BTAHKtggEHyAgYEXTiiRJFGIgRoIwXRkIxQLhABQ9zkYHmCAwQHF1CgEEmJCIkLQA6ECAANDSQBwBkSwSUDwxAECKZ2Sskgi

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:a1a1fdffffffffff
Perceptual Hash:e3626227959d9999
Difference Hash:4f4d390e62f0b28e
Wavelet Hash:000091ff3e7e427f
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data