Security Report: danakaget123.netlify.app - Analysis

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/b6960365-fbff-4c2a-ba0c-fddd74425d7d Domain and IP registration (RDAP)/api/v1/rdap/b6960365-fbff-4c2a-ba0c-fddd74425d7d Certificate Transparency/api/v1/ct/danakaget123.netlify.app How often this domain was scanned/api/v1/domain/stats/danakaget123.netlify.app Scan history for this domain/api/v1/domain/history/danakaget123.netlify.app?limit=15

This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is danakaget123.netlify.app and was registered 8 years ago.

Submitted URL: http://danakaget123.netlify.app/

Effective URL:

https://danakaget123.netlify.app/

Redirected

AI Security Verdict

High Risk

Confidence: 88%

Risk Score

Page impersonates DANA and is flagged for social engineering phishing; treat as high‑risk and do not interact.

Risk Factors (4)

Brand impersonation of DANA

Unranked / low reputation domain

Subdomain on hosting platform with unknown creation date

Social Engineering Safe Browsing threat

Domain age information unavailable

Details

Page Title

DANA Kaget — Klaim Saldo

Scan Type

public

Domain Name Analysis

Domain 'danakaget123.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'danakaget123'. The registrable portion 'netlify' spans 7 characters containing 2 vowels alongside five consonants. Splitting it apart reveals 3 words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

5.58s

Total Load Time

5 KB

Total Size

Language Analysis

Primary Language

🇮🇩Indonesian

Code: id

Confidence:80%

Script:Unknown

Direction:ltr

Detection Details

HTML Lang Attribute:id

Text Length:135 chars

Detector Agreement:50%

Website Classification

Primary Category

finance banking63% confidence

Type: webapp

Method: ml+structural

All Detected Categories

finance banking

63%

adult content

34%

healthcare medical

33%

government public service

32%

real estate property

26%

Detected Features

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
2	185.15.59.240	United States	AS14907Wikimedia Foundation Inc.
2	35.157.26.135Aws · CLOUD	Frankfurt am Main, Hesse, Germany	AS16509Amazon.com, Inc.
4	2	-	-

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125B18423367B01022B83D1A05EA79B8735335523B206CD397D6CA194CFCEE86D4FB699

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:JIZyDv0vB46DqXyDHoCFe5rL7am5Jemme6YF6a/pkdGo9kCe46R7POUG0Mk9jpQQ:JIZyDv0vB46DqXyDHoCFe5rLWm5JJm8d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5350:g4DWBIgJkCgBAAYQhAAIJAQ4IABowglFAmIACQxQIhCSBIAGsoGL1AAWAAAMQggBQiAilBCDQAYRPQkQCyBRSggMMAABEEkI

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:0000181818180000

Perceptual Hash:99cc663399cccc33

Difference Hash:0010b2b2b2b21008

Wavelet Hash:0f071b1b1b1b033f

Color Hash:#ac536b

Other Hashes

Crop Resistant:96969686903b3394,0010b2b2b2b21008

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: danakaget123.netlify.app