Security Scan Report: indodana.pages.dev

Redirected to: https://indodana.pages.dev/#/pages/register

Submitted: Jan 23, 2026, 10:18:21 AMCompleted: Jan 23, 2026, 10:19:55 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 6 HTTP transactions. The main domain is indodana.pages.dev and was registered NaN years ago.

Submitted URL: https://indodana.pages.dev/

Effective URL: https://indodana.pages.dev/#/pages/registerRedirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk phishing page collecting credentials on an unknown subdomain.

Risk Factors
Subdomain on a generic hosting platform
Unknown or very recent domain age
Password field on an untrusted domain
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

finance banking

(51%)

Domain Information

Domain 'indodana.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'indodana'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus three consonants. Breaking it apart gives one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://indodana.pages.dev/

Page Load Overview

7.37s
Total Load Time
88
HTTP Requests
11
Domains
666 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:219 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

finance banking51% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
51%
real estate property
38%
cryptocurrency blockchain
37%
news media journalism
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.66.44.149United States
AS13335CLOUDFLARENET
11104.18.22.242United States
AS13335CLOUDFLARENET
11107.149.163.70United States
AS54600PEG-SV
11124.222.174.117Unknown
1118.245.31.86United States
AS16509AMAZON-02
11172.105.196.206Tokyo, Tokyo, Japan
AS63949Akamai Connected Cloud
11104.18.23.242United States
AS13335CLOUDFLARENET
11108.138.7.80UnknownUnknown
888--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12AA209303001287665279BE2F0E19B1D19177316CB4609BCF7ED1BB9AFC5DE48A71AB4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:QGAdFdVdlrCtESBU8b/yaHFRFCtESBU8b/yaHF1K6FZ5LjRuKLjRK4LjRauLjR8K:AdFdVdlrCtBBU8b60FCtBBU8b6iK6FZr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21384:AAMWARCigIumXwMyBFEjIYA4xIgjEAaqHSQJKcAKhJQ8MCZUmghwiMglJBMEGJBIJQJoCkFRkgAmrDEU7EAADaYkRQjqZgMA

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:fefefecec2c2c3c3
Perceptual Hash:f1ddce223198c6c6
Difference Hash:001000181e0e1e16
Wavelet Hash:f2f2f2c2c2c2c2c2
Color Hash:#78433a

Other Hashes

Crop Resistant:001000181e0e1e16

Scan History

Scan history not available

Unable to load historical scan data