Security Scan Report: amankan-sekarang.netlify.app

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Submitted: Sep 8, 2026, 12:45:05 AMCompleted: Sep 8, 2026, 12:46:36 AMpubliccompleted

Summary

This website contacted 10 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is amankan-sekarang.netlify.app and was registered 21 years ago.

Submitted URL: https://amankan-sekarang.netlify.app/

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page impersonates the DANA brand without collecting credentials; moderate risk due to brand mismatch and unknown subdomain age.

Risk Factors
Brand impersonation on mismatched domain
Unranked / unknown‑age subdomain on Netlify hosting
Domain age information unavailable

Details

Page Title

DANA | Dompet Digital Indonesia

Scan Type

public

Language

🇮🇩

ID

(44% confidence)

Category

finance banking

(58%)

Domain Information

You're looking at domain 'amankan-sekarang.netlify.app' on the application-focused generic top-level domain (.app) with subdomain 'amankan-sekarang'. Its registrable label 'netlify' stretches across 7 characters containing two vowels alongside 5 consonants. It segments into 3 words: net, li, fy. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://amankan-sekarang.netlify.app/

Page Load Overview

7.89s
Total Load Time
19
HTTP Requests
8
Domains
122 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:44%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:44%
Script Type:Unknown
Text Length:227 chars
Detector Agreement:75%

Website Classification

Primary Category

finance banking58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1063.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1142.251.20.132Google · CDNUnited States
AS15169Google LLC
1142.251.127.95Google · CDNUnited States
AS15169Google LLC
1185.199.109.153United States
AS54113Fastly, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1103.150.93.32Bogor, West Java, Indonesia
AS133800PT Biznet Gio Nusantara
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
1185.199.110.153United States
AS54113Fastly, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1910--

Page Statistics

19
Requests
8
Unique Domains
1.3 MB
Total Size

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17121C0B32804151E3272C361AC95B7894779AD29B50D99E5F09072CFBDD0FD8D4C36AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kB9GsO9NU9CPHFhwagbC/H5FdsKb1Zs7jbqkyG4tZGVlBjYWokRVG:K91O9NU9ylmagwdrb1Zs7oG4em

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1311:AYBAAAAAAIABARACAAAgAAIAAAAoAAIAAEAAIAAAAIACIQABAAAQAAAAAABgAAAAAAAIACAAQAIAABAAAAAACgIgAAAAAAAE

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:00007f7f7f1f0f03
Perceptual Hash:8141794d67a7cce6
Difference Hash:e2d2f4ecf3f3ff7f
Wavelet Hash:00007f7f7f1f0f03
Color Hash:#3a7871

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data