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Security Scan Report: gentle-tulumba-57e1ce.netlify.app

Redirected to:
https://gentle-tulumba-57e1ce.netlify.app/
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/97cfeb86-a3e5-4e12-9f22-16a74e6d446bDomain and IP registration (RDAP)/api/v1/rdap/97cfeb86-a3e5-4e12-9f22-16a74e6d446bHow often this domain was scanned/api/v1/domain/stats/gentle-tulumba-57e1ce.netlify.appScan history for this domain/api/v1/domain/history/gentle-tulumba-57e1ce.netlify.app?limit=15
This website contacted 8 IPs in 3 countries across 4 domains to perform 12 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://gentle-tulumba-57e1ce.netlify.app/

Effective URL:
https://gentle-tulumba-57e1ce.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

The page is a high‑risk credential phishing site impersonating DANA and collecting user phone numbers.

Risk Factors (5)
Unranked / low‑reputation domain
Brand impersonation of DANA on a non‑official domain
Safe Browsing social‑engineering detection
Unknown subdomain age (potentially brand‑new)
Credential collection (phone number) without legitimate login
Domain age information unavailable

Details

Page Title

SignIn

Scan Type

public

Domain Name Analysis

The domain name 'gentle-tulumba-57e1ce.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'gentle-tulumba-57e1ce'. The core label 'netlify' covers 7 characters split between 2 vowels and 5 consonants. Segmentation suggests 3 words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Masukkan nomor HP kamu untuk tanjut | 462 | 812 2543 5221 Berbagai kemudahan bisa kamu dapatkan di DANA! Dompet digital untuk kamu ‘Simpen uang serta kartu debitredit dengan praktis dl DANA. Bayar...

Page Load Overview

1.04s
Total Load Time
267 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:id
Text Length:681 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping80% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
80%
finance banking
78%
government public service
57%
adult content
55%
cryptocurrency blockchain
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5184.24.77.83Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
145.43.142.8United Kingdom
AS16276OVH SAS
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
145.43.142.3United Kingdom
AS16276OVH SAS
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
145.43.142.4United Kingdom
AS16276OVH SAS
1184.24.77.75Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
128--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12672953332B211115AA3A5A57AF2D74E3634C107D64682783EBC1995CFCEDC2D9B3798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:YULrqOPJ6m9xeL3MToeRKmojHhowEv6idS6JYTotz20EOh8Cpg9HkvETSAwoIS1K:xB1uMm4jFVogv6RoqsIMNJwfhawHVa/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16055:GLBTNQhisNbqYAJeEWFTPLKIYqgIAwCkICAgRANFAlHCgIW4hBIKAwQLRQEAaoQQzbHWpOBBQDhkhiAQBACgFYgFtCLCpnxk

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:1818181818000000
Perceptual Hash:9999666666cc6333
Difference Hash:b2b2b2b2b20c3000
Wavelet Hash:38383c3c18000000
Color Hash:N/A

Other Hashes

Crop Resistant:a2a6aebeaeaeb2b2,b2b2b2b2b20c3000

Scan History

Scan history not available

Unable to load historical scan data