Security Scan Report: dainty-marzipan-096579.netlify.app

Redirected to:
https://dainty-marzipan-096579.netlify.app/
Submitted: Aug 19, 2026, 12:45:42 PMCompleted: Aug 19, 2026, 12:49:48 PMpubliccompleted

This website contacted 1 IP in 1 country across 6 domains to perform 5 HTTP transactions. The main domain is dainty-marzipan-096579.netlify.app and was registered 8 years ago.

Submitted URL: http://dainty-marzipan-096579.netlify.app/

Effective URL:

https://dainty-marzipan-096579.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 60%

7
Risk Score

This page runs a device-code sign-in lure used to take over accounts — rated high risk on that basis.

Risk Factors (1)
Device-code / OAuth-consent (EvilToken) phishing: a Microsoft device-login lure or device-code grant flow on a non-Microsoft disposable host — AI under-call floored from risk 5 to 7 (LOW_RISK→HIGH_RISK)
Domain age information unavailable

Details

Page Title

Continue

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'dainty-marzipan-096579.netlify.app' is registered, featuring subdomain 'dainty-marzipan-096579'. The second-level label 'netlify' is 7 characters long split between two vowels and five consonants. Breaking it apart gives three words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://dainty-marzipan-096579.netlify.app/

Page Load Overview

3.21s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:31 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
563.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D311DC41C4E464EA038E11651DD37298BD81C58BE31E490CB9FD02B41F90EAA90AB29C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:qTp0JYygNSbO4ECjN58XgHcWAEdXPkSJOGzGBDwfSDJZ2SDStnpCcQL:0p0JYt8bOvg58XEFs67zGBcfoelp+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:871:AAEACAECQAAAABAABAAAAUAAAAAAAAgAAAAAAAAABAAAMAAAAIAAAAAAAAAAAAAAAAAAAAAABAACADACBAAAAAAgAAgAAACA

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:ffffffe7e7e7ffff
Perceptual Hash:b399cc6633996466
Difference Hash:0008000c4d0c0008
Wavelet Hash:3f3f3f2704040c0c
Color Hash:#77e06c

Other Hashes

Crop Resistant:0008000c4d0c0008

Scan History

Scan history not available

Unable to load historical scan data