Security Scan Report: olcneiowg-4.pages.dev

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Submitted: Dec 9, 2025, 8:17:34 AMCompleted: Dec 9, 2025, 8:19:23 AMpubliccompleted
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Summary

This website contacted 112 IPs in 6 countries across 33 domains to perform 342 HTTP transactions. The main domain is olcneiowg-4.pages.dev.

Submitted URL: https://olcneiowg-4.pages.dev/collections/speaker-baffles

AI Security Verdict

Low Risk

Confidence: 80%

1
Risk Score

Site appears legitimate with minimal risk

Safety Factors
Domain hosts only informational content
Form only collects email address
Page does not impersonate a known brand
Domain age information unavailable

Details

Page Title

Speaker Baffles — NVX

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(60%)

Domain Information

You're looking at domain 'olcneiowg-4.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'olcneiowg-4'. Count 5 characters in 'pages' split between 2 vowels and three consonants. Splitting it apart reveals 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://olcneiowg-4.pages.dev/collections/speaker-baffles

Page Load Overview

58.95s
Total Load Time
342
HTTP Requests
33
Domains
3.9 MB
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:16,522 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media60% confidence
Type: webapp
Method: ml+structural

All Detected Categories

entertainment media
60%
documentation technical
48%
e-commerce
20%

Detected Features

Search
Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.58.206.36United States
AS15169GOOGLE
323.50.131.151Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3104.20.27.52United States
AS13335CLOUDFLARENET
334.120.87.25Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3142.250.184.195United States
AS15169GOOGLE
3104.26.9.43United States
AS13335CLOUDFLARENET
374.125.206.156United States
AS15169GOOGLE
3104.26.4.40United States
AS13335CLOUDFLARENET
3142.250.185.91United States
AS15169GOOGLE
3104.26.5.40United States
AS13335CLOUDFLARENET
342112--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB74B5E0AC60093644B79AE6F1B0EB36B0D3B215DE420482B7FE736617D6E58B567D0C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7U4LNN4s158jkxDeWhVDmQNbxLCeRu7jlv4QO7ujtQsGP1V0DCPHlBeHJHqFUAEi:7U4L9RuNidKmfnUJHyUtYhuFz69QBevV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:363158:8eQlBsIg0BRQQSBAFBQJQaAGASgiY0QIAieBcKAa0F61VYNOGBQi0kYBjIAAlIIDKJElpKGoEMLCypyEQIApgIYikAioEhJw

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:0000ffffdfdfffcf
Perceptual Hash:b847430338c7b9fc
Difference Hash:f1e9602db9171c98
Wavelet Hash:00009fdfc5c7f7c4
Color Hash:#a1c587

Scan History

Scan history not available

Unable to load historical scan data