Security Scan Report: moonlit-phoenix-8039b7.netlify.app

Redirected to:
https://moonlit-phoenix-8039b7.netlify.app/
Submitted: Sep 26, 2026, 7:50:14 AMCompleted: Sep 26, 2026, 7:50:57 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is moonlit-phoenix-8039b7.netlify.app and was registered 8 years ago.

Submitted URL: http://moonlit-phoenix-8039b7.netlify.app/

Effective URL:

https://moonlit-phoenix-8039b7.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

Google Safe Browsing flags this site as dangerous — rated high risk on that basis.

Domain age information unavailable

Details

Page Title

Site not foundsecondary capture

Scan Type

public

Domain Name Analysis

The domain 'moonlit-phoenix-8039b7.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'moonlit-phoenix-8039b7'. Its registrable label 'netlify' stretches across 7 characters containing 2 vowels alongside five consonants. Segmentation suggests three words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://moonlit-phoenix-8039b7.netlify.app/

Page Load Overview

1.34s
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 software46% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
46%
documentation technical
46%
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

T149E1536A9347722BAC4F5C1E43F5B6CEA066A107C8D202D4BBED836862D75F352D643C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGmwyA2qlRp7rqGyEtZJ3RoXIp5CDoX3rZVnIxMvfwDo+MXiyko:amwyA2q57rJPoX7DoXbZV8MMo+Myo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7370:EWAJhoCAgIBQCBAITtJsEsAQBJImhFGSYoQViQeQJTkAmYFwAmSTBEARCBFCNAEFEJPVFhERIDLgEAwDASEJAQAgcMgCSSaB

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:b399cc6c33323399
Difference Hash:0000080c0c0c0000
Wavelet Hash:f0f0e0e024243c3c
Color Hash:#5c2d86

Other Hashes

Crop Resistant:0000080c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data