Security Scan Report: moonlit-crumble-90efc9.netlify.app

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Submitted: Aug 23, 2026, 12:45:30 PMCompleted: Aug 23, 2026, 12:51:42 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

The site impersonates the DANA brand without collecting credentials, posing moderate phishing risk.

Risk Factors
Brand impersonation on mismatched domain
Unranked / unknown‑age subdomain on Netlify hosting
Absence of legitimate login or payment forms
Domain age information unavailable

Details

Page Title

DANA - Dompet Digital, Bayar & Transaksi Makin Mudah

Scan Type

public

Domain Name Analysis

The domain 'moonlit-crumble-90efc9.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'moonlit-crumble-90efc9'. Its registrable label 'netlify' stretches across 7 characters with two vowels and 5 consonants. Segmentation suggests three words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://moonlit-crumble-90efc9.netlify.app/

Page Load Overview

2.89s
Total Load Time
260 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:id
Text Length:712 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking82% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
82%
e-commerce shopping
72%
government public service
55%
cryptocurrency blockchain
53%
adult content
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
445.43.142.5United Kingdom
AS16276OVH SAS
22.16.10.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
104--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E72953332B211115693A4A57AE3E74E3A34C103D64692387EAC1995CFCEED1C9F37A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:RNZULwqOPJ6m9xeL3MToeRKmojHhowEv6idS6JsTotz20EOh8Cpg9HyvETSAwoID:RVB1uMgqjFtojS6RoqsIMNJwfhawHVa1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17429:QLIRIMA7VOWGW8BcgFROUyRCwiYTDACZUARZ+EQSDDABARCRjDxCLTSwYsYIECIuAPBoEjSxJIFEgkAQXeTICYOguAGpkOZI

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:1818181818000000
Perceptual Hash:9999666666cc6333
Difference Hash:b2b2b2b2b20c3000
Wavelet Hash:3838181838303030
Color Hash:#a787c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data