Security Scan Report: serene-muffin-1f479e.netlify.app

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Submitted: Aug 29, 2026, 3:45:23 PMCompleted: Aug 29, 2026, 3:48:06 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Page shows brand mention without any credential collection or malicious indicators; low risk.

Safety Factors (2)
No credential or payment collection
No malicious code or external threat indicators
Domain age information unavailable

Details

Page Title

DANA Kaget buatmu

Scan Type

public

Domain Name Analysis

The domain 'serene-muffin-1f479e.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'serene-muffin-1f479e'. Its registrable label 'netlify' stretches across 7 characters with two vowels and 5 consonants. Splitting it apart reveals three words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://serene-muffin-1f479e.netlify.app/

Page Load Overview

6.08s
Total Load Time
117 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Text Length:51 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking89% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
89%
healthcare medical
81%
government public service
75%
news media journalism
70%
adult content
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2142.251.14.95Google · CDNUnited States
AS15169Google LLC
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
94--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12251744740E784062112A0731F637628F695D607E72E5C947CFF12E4AFD5ED608EBB98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:axScTGhOxIaeC/hrFZHSIIwdPUkzo/kCZsrHOC/zeekVekrZu:QTGeBZHSWUkzo/kCZsZzoZu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2916:gAEBAAAAAkFAAgAFAAUAADAwABCKCCAAQABQgYDAEiQgBQhAAYQKKSAAAEIEAgQAACAAAAgQAAADAgAAAACKAASICgIABABA

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:0303191818181800
Perceptual Hash:8ca766cc66cccc66
Difference Hash:efdfb3b2b2b3b3ff
Wavelet Hash:673f1f1f1f191900
Color Hash:#532d86

Scan History

Scan history not available

Unable to load historical scan data