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

Redirected to:
https://gentle-tulumba-57e1ce.netlify.app/
Submitted: Aug 28, 2026, 1:45:04 AMCompleted: Aug 28, 2026, 1:46:15 AMpubliccompleted

Summary

This website contacted 8 IPs in 3 countries across 4 domains to perform 1 HTTP transaction. The main domain is gentle-tulumba-57e1ce.netlify.app and was registered 23 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
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

Language

🇮🇩

ID

(80% confidence)

Category

e-commerce shopping

(80%)

Domain Information

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

Security scan screenshot of http://gentle-tulumba-57e1ce.netlify.app/

Page Load Overview

1.04s
Total Load Time
12
HTTP Requests
4
Domains
262 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
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--

Page Statistics

12
Requests
4
Unique Domains
266.9 KB
Total Size

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:#6e3a78

Other Hashes

Crop Resistant:a2a6aebeaeaeb2b2,b2b2b2b2b20c3000

Scan History

Scan history not available

Unable to load historical scan data