Security Scan Report: melodic-brigadeiros-f237b9.netlify.app

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https://melodic-brigadeiros-f237b9.netlify.app/
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Submitted: Aug 28, 2026, 12:45:17 AMCompleted: Aug 28, 2026, 12:47:23 AMpubliccompleted

This website contacted 6 IPs in 3 countries across 3 domains to perform 7 HTTP transactions. The main domain is melodic-brigadeiros-f237b9.netlify.app and was registered 23 years ago.

Submitted URL: http://melodic-brigadeiros-f237b9.netlify.app/

Effective URL:

https://melodic-brigadeiros-f237b9.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Page impersonates Shopee, collects credentials, and is flagged by Safe Browsing – treat as high‑risk phishing.

Risk Factors (3)
Brand impersonation on mismatched domain
Credential collection form
Safe Browsing phishing alert
Domain age information unavailable

Details

Page Title

Shopee Indonesia | Situs Resmi

Scan Type

public

Domain Name Analysis

Domain 'melodic-brigadeiros-f237b9.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'melodic-brigadeiros-f237b9'. The second-level label 'netlify' is 7 characters long split between 2 vowels and 5 consonants. Breaking it apart gives 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://melodic-brigadeiros-f237b9.netlify.app/

Page Load Overview

0.89s
Total Load Time
665 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:id
Text Length:388 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network89% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
89%
healthcare medical
38%
e-commerce shopping
35%
news media journalism
35%
finance banking
33%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
245.43.142.4United Kingdom
AS16276OVH SAS
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
145.43.142.5United Kingdom
AS16276OVH SAS
145.43.142.7United Kingdom
AS16276OVH SAS
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
76--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16772A53322A1242696A3C1B07DD6FB5A6535C013D90949547AEC009ACFCEFD2DAF77AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:rJjnq6nVuiTEVAye9J7NbS76Kq3YzyqepIksybTl/m2/GCqNVaOlEJdpbbzk8eFk:r6/yCr+4UtAlFx1BHHq7sHkr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16358:AkgwDSVUChWVJJNCJEqMUIA+eDJPw2xQmwxUAKwNYAJhFoiRByCiMNQjkgSUAKDI7ZSAgEuIxQUACDBKqBUIKkEkhSiwECEA

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:ff0000e7ffffffff
Perceptual Hash:e2020888abf7f75d
Difference Hash:0890080800000000
Wavelet Hash:00000000ffffffff
Color Hash:#2d8670

Other Hashes

Crop Resistant:0890080800000000

Scan History

Scan history not available

Unable to load historical scan data