Security Scan Report: belbil.netlify.app

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Submitted: Aug 24, 2026, 6:50:09 AMCompleted: Aug 24, 2026, 6:51:49 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 82%

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)
Subdomain on free hosting platform (netlify.app) with unknown creation date
Domain age information unavailable

Details

Page Title

Sign in to your Account

Scan Type

public

Domain Name Analysis

You're looking at domain 'belbil.netlify.app' on the application-focused generic top-level domain (.app) and includes subdomain 'belbil'. The second-level label 'netlify' is 7 characters long with two vowels and 5 consonants. Splitting it apart reveals 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 https://belbil.netlify.app/

Page Load Overview

6.17s
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
563.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
51--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5F0C00A48F04816133003803DD1FC188D82EA0FD7199E0075E760FD1BF46978D9B4A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRnX/Xg6Mf1zbjNqy75abqsKWnV0sHxqAEd0Bl:hRvXg6gbqC5a1KWnV0mx7EM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:534:AAAAAAAAAAAAAAwABAAAAAAAAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAAAAAAgAAAABAAAAgAAAAAAAAAEAAAAYAAgAAAAE

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:303030383f3f0f0f
Color Hash:#c52dd2

Other Hashes

Crop Resistant:0010083430080000

Scan History

Scan history not available

Unable to load historical scan data