Security Scan Report: ia.acs.org.au

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Submitted: Nov 6, 2025, 1:55:37 AMCompleted: Nov 6, 2025, 1:57:50 AMpubliccompleted
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Summary

This website contacted 28 IPs in 4 countries across 26 domains to perform 82 HTTP transactions. The main domain is ia.acs.org.au and was registered NaN years ago.

Submitted URL: https://ia.acs.org.au/article/2025/amazon-cuts-14-000-jobs--doubles-down-on-ai.html

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No suspicious indicators; site appears legitimate.

Safety Factors
Domain is relatively new but unranked without other red flags
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No external links or redirects
Domain age information unavailable

Details

Page Title

Amazon cuts 14,000 jobs, doubles down on AI | Information Age | ACS

Scan Type

public

Domain Information

Within the Australian country-code top-level domain (.org.au), 'ia.acs.org.au' is registered and includes subdomain 'ia'. The registrable portion 'acs' spans 3 characters with 1 vowel and two consonants. Tokenizing the label suggests one word: acs. The median word length lands at three characters. 'acs' most often appears in Latvian. You will also see it in English and Vietnamese contexts.

Screenshot

Security scan screenshot of https://ia.acs.org.au/article/2025/amazon-cuts-14-000-jobs--doubles-down-on-ai.html

Page Load Overview

128.43s
Total Load Time
82
HTTP Requests
26
Domains
1.8 MB
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28142.250.181.234United States
AS15169GOOGLE
2142.250.184.226United States
AS15169GOOGLE
263.140.62.210United States
AS16509AMAZON-02
2216.239.34.36United States
AS15169GOOGLE
23.171.214.104United States
AS16509AMAZON-02
2104.20.17.17United States
AS13335CLOUDFLARENET
2142.250.185.226United States
AS15169GOOGLE
2142.250.186.163United States
AS15169GOOGLE
2151.101.64.134San Francisco, California, United States
AS54113FASTLY
2142.250.181.232United States
AS15169GOOGLE
8228--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173331A3682DC152613035344EBA2B73EAD3AC407EAC5D945F4BC93282FC6EC64E9769D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:sLZ0da0AhhZFMDle2CWNiqiTbtqRagSDTcsfGjR:sLZ0da0xw25NipTMRa1nfGjR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54957:AAmBigFoCtyAIK1cyNWBCBYBcKICAguBkAAssJAgaCiUJCoqwkAUAylD5llA5F4mwCJgATAGCgETQ5ETwAS4kAEKmYAjABFs

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:00010183ffffffff
Perceptual Hash:852f4ad0d23e6f49
Difference Hash:e413130e80c4e4d4
Wavelet Hash:00000002ffffff7f
Color Hash:#931f6d

Scan History

Scan history not available

Unable to load historical scan data