Security Scan Report: pemulihandanaanda.netlify.app

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https://pemulihandanaanda.netlify.app/
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Submitted: Aug 2, 2026, 12:45:22 PMCompleted: Aug 2, 2026, 12:47:59 PMpubliccompleted

This website contacted 7 IPs in 3 countries across 9 domains to perform 31 HTTP transactions. The main domain is pemulihandanaanda.netlify.app and was registered 8 years ago.

Submitted URL: http://pemulihandanaanda.netlify.app/

Effective URL:

https://pemulihandanaanda.netlify.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics the DANA brand without collecting credentials, but its unranked Netlify subdomain and unknown age raise moderate risk.

Risk Factors
Brand impersonation on mismatched domain
Unknown subdomain age on a hosting platform
Unranked / lowโ€‘reputation domain
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal โ€” credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

๐——๐—”๐—ก๐—” | ๐—ฃ๐—ฒ๐—บ๐˜‚๐—น๐—ถ๐—ต๐—ฎ๐—ป ๐—”๐—ธ๐˜‚๐—ป ๐——๐—”๐—ก๐—”

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'pemulihandanaanda.netlify.app' is registered; it also runs on subdomain 'pemulihandanaanda'. Count 7 characters in 'netlify' containing 2 vowels alongside 5 consonants. It segments into three words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://pemulihandanaanda.netlify.app/

Page Load Overview

8.53s
Total Load Time
12.4 MB
Total Size

Language Analysis

Primary Language

๐Ÿ‡ฎ๐Ÿ‡ฉIndonesian
Code: id
Confidence:41%
Script:Unknown
Direction:ltr

Detection Details

Text Length:150 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
90%
government public service
66%
healthcare medical
60%
adult content
27%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7185.199.109.153United States
AS54113Fastly, Inc.
443.159.95.39Singapore
4192.178.170.95Google ยท CDNUnited States
AS15169Google LLC
42.21.110.207Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
435.157.26.135Aws ยท CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
4104.17.25.14Cloudflare ยท WAFUnited States
AS13335Cloudflare, Inc.
4142.251.110.132Google ยท CDNUnited States
AS15169Google LLC
317--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115A2ECB15594140A3317D284BEE65F8D2269C007CA0A996AF6FD3059BFCEEFC84B3394

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:f0rxF0/7efzdGvixazUSESftngVFLXB1jaDswsFC9zT0+nSMTGC4Nk90s90s90sL:fAz+zUt8JgV9jjaDswsFC9zTznSMTVtP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23337:EDCsAgUGcLAmBkdnCANHRAEBI0QkS0WVHCEz0aLA0AhQ6gogh8Egj6SAgMkJgrSBBFJZMOKKBiBgEAEqDOBkTQ4KzxAHiggG

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:00000018ffffffff
Perceptual Hash:a74c27b29819f363
Difference Hash:5ce682b22acececa
Wavelet Hash:00000018ffffe7ff
Color Hash:#931f3c

Scan History

Scan history not available

Unable to load historical scan data