Security Scan Report: www.pembatalan-dana-id-paylater.vercel.app

Redirected to:
https://pembatalan-dana-id-paylater.vercel.app/
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Submitted: Jul 2, 2026, 12:45:25 PMCompleted: Jul 2, 2026, 12:48:14 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is pembatalan-dana-id-paylater.vercel.app and was registered NaN years ago.

Submitted URL: http://www.pembatalan-dana-id-paylater.vercel.app/

Effective URL: https://pembatalan-dana-id-paylater.vercel.app/Redirected

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

The site impersonates the DANA brand on an unranked Vercel subdomain, lacks credential forms but shows suspicious redirects, resulting in a highโ€‘risk classification.

Risk Factors
Brand impersonation on unranked domain
Unknown subโ€‘domain age on a public hosting platform
Excessive (5) redirects with circular redirect
Unranked domain reputation
Potential typosquatting of a wellโ€‘known financial brand
Safety Factors
No credential or payment forms
No IoC matches, YARA malware detections, or IDS alerts
No malicious JavaScript behavior detected
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal โ€” credential-phishing framing unsupported; risk adjusted from 8 to 5
Domain age information unavailable

Details

Page Title

๐—ฃ๐—ง.๐—˜๐˜€๐—ฝ๐—ฎ๐˜† ๐——๐—ฎ๐—ป๐—ฎ ๐—œ๐—ป๐—ฑ๐—ผ๐—ป๐—ฒ๐˜€๐—ถ๐—ฎ

Scan Type

public

Language

๐Ÿ‡ฎ๐Ÿ‡ฉ

ID

(5% confidence)

Category

healthcare medical

(28%)

Domain Information

The domain name 'www.pembatalan-dana-id-paylater.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.pembatalan-dana-id-paylater'. The second-level label 'vercel' is 6 characters long split between two vowels and four consonants. Segmentation suggests 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.pembatalan-dana-id-paylater.vercel.app/

Page Load Overview

11.50s
Total Load Time
38
HTTP Requests
9
Domains
13.1 MB
Total Size

Language Analysis

Primary Language

๐Ÿ‡ฎ๐Ÿ‡ฉIndonesian
Code: id
Confidence:5%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:5%
Script Type:Unknown
Text Length:147 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical28% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
28%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10185.199.108.153United States
AS54113Fastly, Inc.
464.29.17.3United States
AS16509Amazon.com, Inc.
4104.17.25.14Cloudflare ยท WAFUnited States
AS13335Cloudflare, Inc.
4104.16.79.73Cloudflare ยท WAFUnited States
AS13335Cloudflare, Inc.
4142.250.154.95Google ยท CDNUnited States
AS15169Google LLC
4216.198.79.131United States
AS16509Amazon.com, Inc.
443.159.95.39Singapore
4142.251.13.132Google ยท CDNUnited States
AS15169Google LLC
388--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3C2EAE15495140A6217D184ABD66F89227AC107C60EC8BAB6FD344EEF8EFFC81B7354

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ft8xzZg/3qbi9bg2TZar1Tjt6s6s6sAv/prQ3f:ftM2/C4XXL5Qv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26092:YmkAC44FQUkBKwiMYQEQ3AgAgABTBQPURURgGHI8GaEaawGJQsYNBQDEeIECiFygVQcIPB4a2oSwBBYYCoKSAFcQGENCAFgS

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:e7e7e7e7e7e7e7e7
Perceptual Hash:b36764338e269966
Difference Hash:4d4d4d4d4d4d4d4d
Wavelet Hash:c0c0c0c003030303
Color Hash:#1f9342

Scan History

Scan history not available

Unable to load historical scan data