Security Scan Report: bright-beignet-88fcf0.netlify.app

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https://bright-beignet-88fcf0.netlify.app/
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Submitted: Aug 28, 2026, 12:45:19 AMCompleted: Aug 28, 2026, 12:47:26 AMpubliccompleted

This website contacted 5 IPs in 3 countries across 3 domains to perform 6 HTTP transactions. The main domain is bright-beignet-88fcf0.netlify.app and was registered 23 years ago.

Submitted URL: http://bright-beignet-88fcf0.netlify.app/

Effective URL:

https://bright-beignet-88fcf0.netlify.app/
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AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Page impersonates Shopee and harvests login credentials; classify as high‑risk phishing.

Risk Factors (3)
Brand impersonation on mismatched domain
Credential collection form on untrusted subdomain
Unknown subdomain age on shared hosting platform
Domain age information unavailable

Details

Page Title

Shopee Indonesia | Situs Resmi

Scan Type

public

Domain Name Analysis

The domain 'bright-beignet-88fcf0.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'bright-beignet-88fcf0'. Count 7 characters in 'netlify' with two vowels and 5 consonants. Segmentation suggests 3 words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://bright-beignet-88fcf0.netlify.app/

Page Load Overview

0.72s
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
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
145.43.142.6United Kingdom
AS16276OVH SAS
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
145.43.142.4United Kingdom
AS16276OVH SAS
145.43.142.5United Kingdom
AS16276OVH SAS
65--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C672853321A1242696A3C1A07DD2B79A6535C013D90949547AEC109ACFCEFD2DBF77AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:zJjnq6nVuiTEVAye9J7NbS76Kq3YzyqepIksybTl/m2/GCqNVaOlEJdpbbzk8eFh:z6/yCr+4UtAlFx1BHHq7sHkQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16171:AkgwDyVUChWVJJNDJEqMUIA6eDJPw2xQmwxUAKwNYAJhFoiRByCiMNQjkgSUAKDI7ZSAgEmIxQUACDBKqBUIKkEkhyiwECEA

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:#878bc5

Other Hashes

Crop Resistant:0890080800000000

Scan History

Scan history not available

Unable to load historical scan data