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Security Scan Report: wakeup.com.au

Submitted: Dec 14, 2025, 11:55:13 AMCompleted: Dec 14, 2025, 11:56:05 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 wakeup.com.au and was registered NaN years ago.

Submitted URL: https://wakeup.com.au/blog/i-spent-three-days-in-bondi-beach-and-fell-in-love/

AI Security Verdict

Low Risk

Confidence: 72%

1
Risk Score

No immediate threats detected, but the site is very new.

Safety Factors
No forms collecting sensitive data
No malicious Indicators of Compromise detected
No brand impersonation or trademark misuse
Domain age information unavailable

Details

Page Title

I Spent Three Days in Bondi Beach and Fell in Love - Wake Up!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain 'wakeup.com.au' uses the Australian country-code top-level domain (.com.au) and has no subdomain. The registrable portion 'wakeup' spans 6 characters with three vowels and three consonants. Breaking it apart gives 2 words: wake, up. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wakeup.com.au/blog/i-spent-three-days-in-bondi-beach-and-fell-in-love/

Page Load Overview

8.17s
Total Load Time
3
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:735 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
63%
adult content
50%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33.24.58.236Sydney, New South Wales, Australia
AS16509AMAZON-02
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166B309765091343E626B46F561A6732CBA53910BCF0A9D9076FC03E88F85FEA0D3B25D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:kgMOypjS3oucAH4AAfy1++Q2gNwjJbYcqDYw5UiqShRN:JMnJQoucAYg+DNWapYw5TqSbN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109133:HJJaokDCsZAKgCJIEAndROAIRwhiaqSgXKWQMLCSmVEQSgAKEgkc4TAKFgEk6EESDxQRIsAABBkmtESApeMjQRBFkiAS+oiA

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:ff0000000000ffff
Perceptual Hash:aa48db48ebc8ebc8
Difference Hash:0b8521010149334a
Wavelet Hash:ff0101010101ffff
Color Hash:#bcd279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data