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

Submitted: Jul 14, 2026, 9:50:12 PMCompleted: Jul 14, 2026, 9:51:20 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. 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 impersonates Bank Bima but lacks credential collection; treat as moderate risk and avoid providing personal data.

Risk Factors
Brand mismatch on a hosting platform subdomain
Unranked domain with unknown age
Use of a major financial brand in meta tags without verification
Safety Factors
No forms collecting credentials or payments
No JavaScript malware or suspicious behavior detected
No network IDS alerts or Indicators of Compromise
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

The domain 'bima-ativasi-mobile.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'bima-ativasi-mobile'. The core label 'vercel' covers 6 characters split between two vowels and 4 consonants. Tokenizing the label suggests 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://bima-ativasi-mobile.vercel.app/

Page Load Overview

0.30s
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
245.43.142.3United Kingdom
AS16276OVH SAS
1216.198.79.3United States
AS16509Amazon.com, Inc.
32--

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

T109D263672AB300626AA3D5E41BF75B0A3538D007D946D9183F9C63C48FC2DD5A9E3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:nNfhYJLmJt/byJqnmnPKZ6qgQscEGtv0O/WWJp45SqQh2mXQlsl0uWeJJ+:NALmfzyJqmnPKZ6AEev0O/xjs8Yhmw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30753:Qipvm7MpQAFAQk0+mQIawBA6ExAAjWbLaUJGyERQCiI0IgAFBQA0CgmMrABAWCAJkAAxhc4t8YQUXHJnEwiCgoaaTAIBFIAH

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:ffffe7e7e7e7ffff
Perceptual Hash:b3b38c6c8c9b3323
Difference Hash:00100c080c0c1000
Wavelet Hash:30300404e3e3ffff
Color Hash:#d2772d

Other Hashes

Crop Resistant:00100c080c0c1000

Scan History

Scan history not available

Unable to load historical scan data