Security Scan Report: green-dot-web.netlify.app

Redirected to:
https://green-dot-web.netlify.app/
Submitted: Sep 20, 2026, 10:50:13 PMCompleted: Sep 20, 2026, 10:50:34 PMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is green-dot-web.netlify.app and was registered 8 years ago.

Submitted URL: http://green-dot-web.netlify.app

Effective URL:

https://green-dot-web.netlify.app/
Redirected

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Site not foundsecondary capture

Scan Type

public

Domain Name Analysis

The domain 'green-dot-web.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'green-dot-web'. The core label 'netlify' covers 7 characters split between 2 vowels and 5 consonants. Segmentation suggests 3 words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://green-dot-web.netlify.app

Page Load Overview

0.33s
Total Load Time
8 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:368 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
50%
documentation technical
49%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136F1645A9347722BAC5F5C2E53F5B6CEA066A007CDE201D4BBED836862C75F312D642C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TG2wyA2qlRp7rqGyEtZJ3RoXIHJCDoX3rZVnIxMvfwDo+MXiykg:a2wyA2q57rJPoXlDoXbZV8MMo+Myg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7490:EAgBSGMgaEMCGCKiwgDRK4QIASgIIAUrMAIChIMAMnlwAUOKgQaRAAjJIpCiBjB4CLjpVaAwYCE4ApBmQNCEACBEBIEEoh4o

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:ffffe7e7e7e7ffff
Perceptual Hash:b399cc2633cc3399
Difference Hash:00000c0c0c0c0000
Wavelet Hash:3f3f070704043c3c
Color Hash:#2dd28d

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data