ScanMalware.com

Security Scan Report: bima-ativasi-mobile.vercel.app

Submitted: Jul 7, 2026, 8:50:07 PMCompleted: Jul 7, 2026, 8:51:14 PMpubliccompleted

Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is bima-ativasi-mobile.vercel.app and was registered NaN years ago.

Submitted URL: https://bima-ativasi-mobile.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics Bank Bima but lacks login forms; brand impersonation on an unknown‑age Vercel subdomain warrants moderate risk.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Subdomain on hosting platform with unknown age
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Bank Bima

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(76%)

Domain Information

Within the application-focused generic top-level domain (.app), 'bima-ativasi-mobile.vercel.app' is registered and includes subdomain 'bima-ativasi-mobile'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of bima-ativasi-mobile.vercel.app

Page Load Overview

1.06s
Total Load Time
3
HTTP Requests
2
Domains
55 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:852 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking76% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
76%
government public service
59%
technology software
36%
adult content
35%
phishing scam
34%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131United States
AS16509Amazon.com, Inc.
1216.198.79.131United States
AS16509Amazon.com, Inc.
145.43.142.2United Kingdom
AS16276OVH SAS
33--

Page Statistics

3
Requests
2
Unique Domains
62.3 KB
Total Size

Detected Technologies3

Open-Graph-Protocolvwebsite
100%
Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175D264672AB300626AA3D5E41BF75B0A3538D007D946D9183F9C63C48FC2DD5A9E3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:TNfhYJLmJt/byJqkmnrKZ6qgQscEGtv0O/WWJp45SqQh2mXQlsl0uWeJJ+:RALmfzyJq9nrKZ6AEev0O/xjs8Yhmw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30768:gZaZIMWUIo7EiiQWABQiMocEgAhESSAaUEnEDpjCQBDQy0mDGgYCCMREKAOrMEmFagOtIlSBLCoJMWGMI0UdgRVJLAIgRWQO

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:e7e77f00b7ffffff
Perceptual Hash:a3b3e2e76e589888
Difference Hash:0ccc90296248d280
Wavelet Hash:e7e77f00302169d3
Color Hash:#d2ad79

Other Hashes

Crop Resistant:0ccc90296248d280

Scan History

Scan history not available

Unable to load historical scan data