Security Scan Report: wakawak.netlify.app

Redirected to:
https://wakawak.netlify.app/
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Submitted: Aug 22, 2026, 1:45:22 AMCompleted: Aug 22, 2026, 1:48:28 AMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is wakawak.netlify.app and was registered 8 years ago.

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

Effective URL:

https://wakawak.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

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
Unranked domain (not in Cisco Umbrella top 1M)
Unknown subdomain creation date on a shared‑hosting platform
Domain age information unavailable

Details

Page Title

Sign in to your Account

Scan Type

public

Domain Name Analysis

You're looking at domain 'wakawak.netlify.app' on the application-focused generic top-level domain (.app) and includes subdomain 'wakawak'. Count 7 characters in 'netlify' containing two vowels alongside 5 consonants. It segments into 3 words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.13s
Total Load Time
55 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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
663.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
61--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3F0C90A48E08806233003843DE2FC189D82EA0BD7199E0079E760FD1BF4A978C8B8A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRnX/Xg6Mf1zbjNqy75abqsKW+V0sHxqAEd0Bl:hRvXg6gbqC5a1KW+V0mx7EM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:534:AAAQAAAAAAAAAAwAAAAAAAAAAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAAAAAAgAAAABAAAAgAAAAAAAAAEAAAAYAAAAAAAE

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:0010083430080000
Wavelet Hash:30303038f8f0f0f0
Color Hash:#53ac94

Other Hashes

Crop Resistant:0010083430080000

Scan History

Scan history not available

Unable to load historical scan data