Security Scan Report: formulir-online-dukcapil.pages.dev

Redirected to:
https://formulir-online-dukcapil.pages.dev/
Submitted: Apr 6, 2026, 12:12:31 AMCompleted: Apr 6, 2026, 12:13:42 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is formulir-online-dukcapil.pages.dev and was registered NaN years ago.

Submitted URL: http://formulir-online-dukcapil.pages.dev/

Effective URL: https://formulir-online-dukcapil.pages.dev/Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Impersonates Dukcapil on a new pages.dev subdomain and gathers personal data – high risk, likely a phishing scam.

Risk Factors
New/unknown subdomain on free hosting platform
Impersonation of a government service on an untrusted domain
Collection of sensitive personal information on a low‑reputation site
Lack of established brand presence or official domain
Domain age information unavailable

Details

Page Title

Formulir Pengajuan Dokumen Kependudukan

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

government public service

(45%)

Domain Information

Domain 'formulir-online-dukcapil.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'formulir-online-dukcapil'. Its registrable label 'pages' stretches across 5 characters split between two vowels and 3 consonants. Word splitting yields 1 word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://formulir-online-dukcapil.pages.dev/

Page Load Overview

0.45s
Total Load Time
7
HTTP Requests
2
Domains
N/A
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:1,446 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
45%
healthcare medical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.66.47.2United States
AS13335Cloudflare, Inc.
3104.26.3.143United States
72--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F43083926F0043AAC93E2F5FBC66A2EBD35D293DD1BC049F94D06106FD3AA09D57A50

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:CVSp0phnL0b5k+WbQ8N/GDI9/ulkkdByMuhgpW4D5Ke/yx/R:9ShLK6dGDI9/ulkkdByMuhgR5fyx/R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60646:ACQrgBYGFMTQM1jeKAXGQhBSMRJCIsjoXRoClCCgNjDKDlchuhACkCIHJgRBoCUAsagBBaUVtgFI0gAMBKiKgXmwtBIIiIVg

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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