Security Scan Report: frostyz.netlify.app

Redirected to:
https://frostyz.netlify.app/
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Submitted: Jul 9, 2026, 12:45:14 AMCompleted: Jul 9, 2026, 12:46:52 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is frostyz.netlify.app and was registered NaN years ago.

Submitted URL: http://frostyz.netlify.app/

Effective URL: https://frostyz.netlify.app/Redirected

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

The site shows no malicious indicators and contains no credential‑collecting forms; it is assessed as low risk.

Domain age information unavailable

Details

Page Title

Sign in to your Account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'frostyz.netlify.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'frostyz'. Its registrable label 'netlify' stretches across 7 characters split between 2 vowels and 5 consonants. Tokenizing the label suggests 3 words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://frostyz.netlify.app/

Page Load Overview

2.87s
Total Load Time
6
HTTP Requests
1
Domains
54 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:39 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
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B110B05DCD4883723264AC034F3BE04ABC5875ADF090D52A3EAA3D82BD8E92D95FC21

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nvXg6gbqC5a1KWaNV0mx7EGxmiat/E6/WEhQDSASTme:nvXEO1Ex7NKM8QD/STJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1019:AAgAEAAABgAAAAAAAAAAAACAASAAQCAAAAAQAIAAEAAACAAIAAAAQAAAAAAQUAAAEAAAAAAAAAAQACAAAAAgAAAAAAAAAAAA

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:0000001818000000
Perceptual Hash:cccc3333cccc3333
Difference Hash:0000083430080000
Wavelet Hash:30303c3cf8f0f0f0
Color Hash:#783a4a

Other Hashes

Crop Resistant:0000083430080000

Scan History

Scan history not available

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