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Security Scan Report: aew-electrical.pages.dev

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/1f99e732-cf84-47a4-afe6-2d1732a5ebe3Domain and IP registration (RDAP)/api/v1/rdap/1f99e732-cf84-47a4-afe6-2d1732a5ebe3How often this domain was scanned/api/v1/domain/stats/aew-electrical.pages.devScan history for this domain/api/v1/domain/history/aew-electrical.pages.dev?limit=15
This website contacted 8 IPs in 1 country across 4 domains to perform 47 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://aew-electrical.pages.dev/

AI Security Verdict

Safe Website

Confidence: 70%

1
Risk Score

Legitimate electrical wholesaler site with self-branding and no malicious indicators; hosted on a shared platform, but content is benign.

Safety Factors (3)
Physical address and contact details present
No credential or payment collection on this page
No malicious JavaScript or indicators of compromise
Domain age information unavailable

Details

Page Title

AEW Electrical Wholesalers

Scan Type

public

Domain Name Analysis

Domain 'aew-electrical.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'aew-electrical'. The core label 'pages' covers 5 characters with 2 vowels and 3 consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

asas HOME ABOUTAEW WHYAEW SUPPLIERS TESTIMONIALS CONTACT 02 9833 4100 AEWjisyounlocal Electrical¡Wholesaler TESTIMONIALS WHY CHOOSE AEW SUPPLIERS One of the best friendliest wholesalers I've been Co...

Page Load Overview

0.82s
Total Load Time
872 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-AU
Text Length:1,721 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
70%
government public service
69%
news media journalism
67%
blog personal website
66%
social media network
63%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12172.66.47.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.66.44.156Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5192.178.183.95Google · CDNUnited States
AS15169Google LLC
5104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.251.110.94Google · CDNUnited States
AS15169Google LLC
5142.251.14.95Google · CDNUnited States
AS15169Google LLC
5104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.251.127.94Google · CDNUnited States
AS15169Google LLC
478--

Detected Technologies6

Open-Graph-Protocolvwebsite
100%
JQueryv1.12.4
100%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16BB25722D6D050774012B0D1B736E66C5E03510BCF879A69F3AD8B9DAFBEC96883749C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:6RikbPSsFEULI9XivgXEHqhzIm+5CP7MCFD5:oTmUM9XvIm+5CP7MCFD5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25126:kUQWBmIYBUlRAgbciIR8AMAViyFKggyQVAIoCgAJw4gFLKOADgkC4ThQD3SiJCJ1AACkAQlkACCJJAREogu2ogQeOAEJ+QSA

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:ff0018180000ffff
Perceptual Hash:880cb722bf96b4bc
Difference Hash:22f1b3f1f170d52a
Wavelet Hash:ff10183c1000ffff
Color Hash:N/A

Other Hashes

Crop Resistant:22f1b3f1f170d52a,f0f07272723272f0,f1f1b3f1f1f1f1d4

Scan History

Scan history not available

Unable to load historical scan data