Security Scan Report: www.apprenticeships.gov.au

Submitted: Feb 9, 2026, 8:23:06 AMCompleted: Feb 9, 2026, 8:24:38 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is apprenticeships.gov.au and was registered NaN years ago.

Submitted URL: https://www.apprenticeships.gov.au/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site appears legitimate but is new and currently unreachable; proceed cautiously.

Risk Factors
Newly registered domain (<180 days) increases suspicion
Unranked in Cisco Umbrella top 1M suggests low reputation
Site is currently unreachable, which may indicate misconfiguration or downtime
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
Standard hosting environment (not IPFS or cloud storage)
Uses official .gov.au TLD
Domain age information unavailable

Details

Page Title

www.apprenticeships.gov.au

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

You're looking at domain 'www.apprenticeships.gov.au' on the Australian country-code top-level domain (.gov.au) and includes subdomain 'www'. Its registrable label 'apprenticeships' stretches across 15 characters containing 5 vowels alongside ten consonants. Breaking it apart gives one word: apprenticeships. Expect 15 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.apprenticeships.gov.au/

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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
Text Length:774 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
government public service
67%
documentation technical
65%
adult content
56%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1165.12.224.11Australia
AS9509Department of Employment and Workplace Relations
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:IfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsza2bMy8OldO:DhoC9JSqzzbs6o3Sj3gcrsW2eA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184521:FdIAXEkCgPFAAdgSIEUoIqEwAvWMWIJMF5CFjwQMARElDUgUwEAAIvQTWIrABx8AKyg0NGYAlwO0AJwUBACCgRCgJWCKgEUC

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#783a6c

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data