Security Scan Report: peppy-custard-07d8c5.netlify.app

Redirected to:
https://peppy-custard-07d8c5.netlify.app/
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Submitted: Aug 28, 2026, 12:45:13 AMCompleted: Aug 28, 2026, 12:46:23 AMpubliccompleted

This website contacted 7 IPs in 3 countries across 3 domains to perform 6 HTTP transactions. The main domain is peppy-custard-07d8c5.netlify.app and was registered 23 years ago.

Submitted URL: http://peppy-custard-07d8c5.netlify.app/

Effective URL:

https://peppy-custard-07d8c5.netlify.app/
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AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page impersonates Shopee, collects login credentials on an unranked Netlify subdomain – high‑risk phishing site.

Risk Factors
Brand impersonation on mismatched domain
Credential‑harvesting login form
Unranked / unknown‑age subdomain on shared hosting
Domain age information unavailable

Details

Page Title

Shopee Indonesia | Situs Resmi

Scan Type

public

Domain Name Analysis

You're looking at domain 'peppy-custard-07d8c5.netlify.app' on the application-focused generic top-level domain (.app) with subdomain 'peppy-custard-07d8c5'. The core label 'netlify' covers 7 characters containing 2 vowels alongside 5 consonants. Tokenizing the label suggests 3 words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://peppy-custard-07d8c5.netlify.app/

Page Load Overview

0.67s
Total Load Time
655 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
635.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
0185.15.59.240United States
AS14907Wikimedia Foundation Inc.
045.43.142.5United Kingdom
AS16276OVH SAS
045.43.142.3United Kingdom
AS16276OVH SAS
063.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
045.43.142.6United Kingdom
AS16276OVH SAS
045.43.142.8United Kingdom
AS16276OVH SAS
67--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC72963321A1142696A3C1A07DD2F79A6935C013D90949547AEC1099CFCEFD2DBF77AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BJjnq6nVuiTEVAye9J7NbS76Kq3YzyqepIksybTl/m2/GCqNVaOlEJdpbbzk8eFh:B6/yCr+4UtAlFx1BHHq7sHkQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16171:AkgwDSVUChWVJJNDJEqMUMA6eDJPw2xQmwxUAKwNYAJhFoiRByCiMNQjkgSUAKDI7ZSAgEmIxQUACDBKqBUIKkEkhyiwECGA

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:#c52dd2

Other Hashes

Crop Resistant:0890080800000000

Scan History

Scan history not available

Unable to load historical scan data