Security Scan Report: moonshot-listing-9nu.netlify.app

Submitted: Sep 3, 2026, 12:51:02 AMCompleted: Sep 3, 2026, 12:52:23 AMpubliccompleted

Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is moonshot-listing-9nu.netlify.app and was registered 8 years ago.

Submitted URL: https://moonshot-listing-9nu.netlify.app/

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

This site is named as malicious in threat-intelligence feeds — rated high risk on that basis.

Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(26%)

Domain Information

The domain name 'moonshot-listing-9nu.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'moonshot-listing-9nu'. The second-level label 'netlify' is 7 characters long containing two vowels alongside 5 consonants. Tokenizing the label suggests three words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://moonshot-listing-9nu.netlify.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
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:312 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical26% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Page Statistics

2
Requests
1
Unique Domains
3.4 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A6161A9C41B203F6D93A81F13A4CA4D60297107DC9147D8FFAA53ACD2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoX9:nGHwyA2qlRYZJ3RoXIx+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQARQIAEAACEBIACEICAAAIAAAYQJwAggRAAQACYAICEEgAAWABAAIAQQAAAgACAAAQgAAAAAAAEIsAgBAAAAAMQACECC

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:b324cc9b336c9933
Difference Hash:0000080c0c080000
Wavelet Hash:3f3f272707070303
Color Hash:#783a48

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data