Security Scan Report: dnid-two.vercel.app

Submitted: Sep 9, 2026, 4:45:10 PMCompleted: Sep 9, 2026, 4:46:39 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page impersonates the DANA brand on an unknown‑age subdomain without credential collection; treat as moderate risk.

Risk Factors
Brand impersonation of DANA on an unranked subdomain
Unranked / unknown‑age domain on a free hosting platform
Financial‑related claims with large transaction amounts
Domain age information unavailable

Details

Page Title

Aktivasi Saldo DANA

Scan Type

public

Domain Name Analysis

Domain 'dnid-two.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'dnid-two'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside 4 consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dnid-two.vercel.app/

Page Load Overview

9.45s
Total Load Time
90 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:id
Text Length:945 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking48% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
48%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.67United States
AS16509Amazon.com, Inc.
364.29.17.195United States
AS16509Amazon.com, Inc.
3216.198.79.195United States
AS16509Amazon.com, Inc.
113--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1F2635266E314156657E0B82BB65B0A36308003EA09CE693F9C53D1CF8AF95ACF77DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:2FtwF7FKF2F/yZF9NuDkmZEYm2jiAny19qIYTtztNtavS4XS91VzhWoso0Gtxp:2Dw9QM0ZPNuDkmZEYm2jiAny19qIYTtB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35727:AQQaBwWFccvhQAAg0UBkgUwgUWAQKB1LAgMAlwj4ICAEEEEomqG8jUABgwkRnQ4JOIJIkAVpAQIoLg6KCruGcwACZpaBeICZ

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:0000ffffffffffff
Perceptual Hash:991919195ce6e6e6
Difference Hash:b2b24d3000000008
Wavelet Hash:00001800000000e7
Color Hash:#5f783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data