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

Redirected to:
https://bima-ativasi-mobile.vercel.app/
Submitted: Jul 7, 2026, 1:45:06 AMCompleted: Jul 7, 2026, 1:46:12 AMpubliccompleted
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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: http://bima-ativasi-mobile.vercel.app/

Effective URL: https://bima-ativasi-mobile.vercel.app/Redirected

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

The site mimics Bank Bima but lacks forms; treat as moderate‑risk brand impersonation.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Unknown subdomain age on a hosting platform
Safety Factors
No credential or payment forms present
No malicious JavaScript or network indicators
No IDS or Safe Browsing alerts
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 second-level label 'vercel' is 6 characters long with 2 vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.28s
Total Load Time
4
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
245.43.142.5United Kingdom
AS16276OVH SAS
2216.198.79.195United States
AS16509Amazon.com, Inc.
42--

Detected Technologies1

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:0f0f070727270f0f
Color Hash:#e06cc7

Other Hashes

Crop Resistant:00100c080c0c1000

Scan History

Scan history not available

Unable to load historical scan data