Security Scan Report: avocent.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://avocent.netlify.app/

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Single-source phishing report on avocent.netlify.app; page claims to be Avocent retail on an unofficial subdomain, with product listings but no forms. Treat as high-risk.

Risk Factors (4)
Single-source phishing threat-intel match on the primary domain
Unofficial netlify.app subdomain claims to represent the Avocent retail brand
Free hosting subdomain with unknown creation date and no reputation
No verifiable storefront identity, contact information, or about page
Domain age information unavailable

Details

Page Title

Avocent | All Brands of the World

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'avocent.netlify.app' is registered with subdomain 'avocent'. The registrable portion 'netlify' spans 7 characters containing 2 vowels alongside five consonants. It segments into three words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://avocent.netlify.app/

Page Load Overview

0.46s
Total Load Time
117 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Text Length:33,609 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical44% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
44%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
035.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
0142.250.154.132Google · CDNUnited States
AS15169Google LLC
0192.178.183.132Google · CDNUnited States
AS15169Google LLC
34--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B97366F51ACC4259AAF7A31F790A7338D74FBEB2DF593AC430C5A8C6C990D614442D8A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:xA95YH8uLsmjohgI2n2Wh2kpXVhhiCtD6g3HfX3NLyaSG+u0FK9W1hYqDRKQ:xeA51HfHB+HD1hEQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76687:RlGBCAiBYAFEGRggEipKwBgTAOhrI8QI5AmgAciAF+wNLligCPwQBQkhjPJiTDhIZBdZgAURFCUgABAQAsUCiCpwQDRQlIA5

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:c3e7e7e7e7e7e7e7
Perceptual Hash:b33c3c3d3c3c2c0b
Difference Hash:160c0c0c4c4d4c0e
Wavelet Hash:82c2c3c3c3e7e7c2
Color Hash:#d279c1

Other Hashes

Crop Resistant:160c0c0c4c4d4c0e

Scan History

Scan history not available

Unable to load historical scan data