Security Scan Report: chic-muffin-59f7d1.netlify.app

Submitted: Jul 11, 2026, 10:51:50 AMCompleted: Jul 11, 2026, 10:53:10 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is chic-muffin-59f7d1.netlify.app and was registered NaN years ago.

Submitted URL: https://chic-muffin-59f7d1.netlify.app/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'chic-muffin-59f7d1.netlify.app' on the application-focused generic top-level domain (.app), featuring subdomain 'chic-muffin-59f7d1'. Its registrable label 'netlify' stretches across 7 characters containing 2 vowels alongside 5 consonants. It segments into 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://chic-muffin-59f7d1.netlify.app/

Page Load Overview

0.74s
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

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F6161A9C41B203F6D97A81F13A4CA4D60297607DC9147D8FFAA53ACC2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoX+:nGHwyA2qlRYZJ3RoXIS+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQARQIAEAACEBIACGICAAAIAAAQQJwAggRAAQACYAICEEgAAWAJAAIAQQAAAgACAAAQgAAAAAAAEIsAgBAAAAAMQACECC

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:3f3f272724240c0c
Color Hash:#783a4a

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data