Security Scan Report: ambil-hadiah-10juta-anda-sekarang.netlify.app

Submitted: Aug 3, 2026, 5:45:22 AMCompleted: Aug 3, 2026, 5:48:30 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is ambil-hadiah-10juta-anda-sekarang.netlify.app and was registered NaN years ago.

Submitted URL: https://ambil-hadiah-10juta-anda-sekarang.netlify.app/az.html

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Page impersonates DANA and harvests credentials via a PIN form; high confidence phishing scam.

Risk Factors
Brand impersonation on unranked subdomain
Credential harvesting form (multiple password fields)
Threatโ€‘intel indicator on thirdโ€‘party resource
Unknown subdomain creation date (could be brand new)
Financial branding (DANA) used to lure victims
Domain age information unavailable

Details

Page Title

๐——๐—”๐—ก๐—” - ๐—š๐—ถ๐˜ƒ๐—ฒ๐—ฎ๐˜„๐—ฎ๐˜† ๐—จ๐—ฎ๐—ป๐—ด ๐—ง๐˜‚๐—ป๐—ฎ๐—ถ

Scan Type

public

Language

๐Ÿ‡ฎ๐Ÿ‡ฉ

ID

(44% confidence)

Category

finance banking

(66%)

Domain Information

The domain 'ambil-hadiah-10juta-anda-sekarang.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ambil-hadiah-10juta-anda-sekarang'. The core label 'netlify' covers 7 characters split between two vowels and five consonants. Tokenizing the label suggests 3 words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ambil-hadiah-10juta-anda-sekarang.netlify.app/az.html

Page Load Overview

22.05s
Total Load Time
44
HTTP Requests
3
Domains
10.9 MB
Total Size

Language Analysis

Primary Language

๐Ÿ‡ฎ๐Ÿ‡ฉIndonesian
Code: id
Confidence:44%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:44%
Script Type:Unknown
Text Length:565 chars
Detector Agreement:75%

Website Classification

Primary Category

finance banking66% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
66%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1663.176.8.218Aws ยท CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1445.63.94.214Santa Clara, California, United States
AS20473The Constant Company, LLC
14104.21.60.105Cloudflare ยท WAFUnited States
AS13335Cloudflare, Inc.
443--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191E20855B9917407611B51F9BAF68B28203C8517D205AC39B1FCB9A68FCDFC4423BBE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5zq2h8bP6NVso2FDE8ix0TZbBdCVAmT6BkehDeuV2C:vh2CrME8ix0TZbBdCVAmWBkUDT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33864:MAPmFwuCAAgGQICBFgKPGwoCgQkCngkIhsZAA6gAaYqgsEgAE5QCvfIBOgQjIjQBTPplAiQ/kCEEjGQWhCUQVIgEKzlAHjZU

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:00000000000000ff
Perceptual Hash:857a857a956a956a
Difference Hash:000000000000a0e2
Wavelet Hash:0f0f0f0f333300ff
Color Hash:#d279a1

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data