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

Submitted: Jul 21, 2026, 10:50:17 PMCompleted: Jul 21, 2026, 10:51:24 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 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: 78%

3
Risk Score

The site mimics Bank Bima using meta tags but lacks forms; unranked Vercel subdomain suggests moderate phishing risk.

Risk Factors
Brand impersonation without legitimate domain
Unranked / low‑reputation domain
Subdomain on a 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

The domain 'bima-ativasi-mobile.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'bima-ativasi-mobile'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bima-ativasi-mobile.vercel.app/

Page Load Overview

0.31s
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
245.43.142.8United Kingdom
AS16276OVH SAS
1216.198.79.195United States
AS16509Amazon.com, Inc.
32--

Detected Technologies3

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:#7a2d86

Other Hashes

Crop Resistant:00100c080c0c1000

Scan History

Scan history not available

Unable to load historical scan data