Security Scan Report: avocent.netlify.app

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Submitted: Sep 26, 2026, 3:50:06 AMCompleted: Sep 26, 2026, 3:50:45 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 60%

2
Risk Score

Self-branded Avocent product listing on a Netlify subdomain. No forms, no threat-intel, YARA, or IDS hits. Unknown creation date on free hosting; low risk, not a confirmed scam.

Safety Factors (4)
Self-branding: site's title/meta matches its own subdomain
No forms, password fields, or payment fields
No Indicators of Compromise, YARA malware, or network IDS alerts
No cross-origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

Avocent | All Brands of the World

Scan Type

public

Domain Name Analysis

The domain 'avocent.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'avocent'. The registrable portion 'netlify' spans 7 characters split between two vowels and five consonants. Tokenizing the label suggests 3 words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.26s
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 technical45% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
45%
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.
0142.251.13.132Google · CDNUnited States
AS15169Google LLC
0142.251.14.132Google · CDNUnited States
AS15169Google LLC
035.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
34--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E7366F51ACC4259AAF7A31F790A7338D74FBEB2DF593AC430C5A8C6C990D614442D8A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lA95YH8uLsmjohgI2n2Wh2kpXVhhiCtD6g3HfX3NLyaSG+u0FK9W1hYqDRKQ:leA51HfHB+HD1hEQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76852:gKICLQvCoEegQEQwAYAcBEAFRWMGTTeSIomNDjEpRgBEgVgkbQwPZVDAcHAAhAAQUfpOlTDTIilEhVoWwEGOTIWIKAMEuoAg

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:#87c5bb

Other Hashes

Crop Resistant:160c0c0c4c4d4c0e

Scan History

Scan history not available

Unable to load historical scan data