Security Scan Report: aktivasi-bimaa.vercel.app

Submitted: Jul 7, 2026, 1:45:08 AMCompleted: Jul 7, 2026, 1:46:15 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 aktivasi-bimaa.vercel.app and was registered NaN years ago.

Submitted URL: https://aktivasi-bimaa.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics Bank Bima via meta tags but lacks login/payment forms; unranked Vercel subdomain suggests moderate phishing risk.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Hosting platform subdomain 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

(74%)

Domain Information

The domain name 'aktivasi-bimaa.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'aktivasi-bimaa'. The core label 'vercel' covers 6 characters containing two vowels alongside 4 consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aktivasi-bimaa.vercel.app/

Page Load Overview

0.40s
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:869 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking74% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
74%
government public service
57%
technology software
35%
adult content
34%
phishing scam
31%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
245.43.142.2United Kingdom
AS16276OVH SAS
1216.198.79.131United 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

T16CD262672AB300616AA3D5E41BF75B0A35389007D946DD183F9C63C48FC2DD5A9E3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:nNfhYJLmJt/byJqnmnPUIj6QQscEGtv0O/WWJpd5SqQh2mXQlv0uWeJJ+:NALmfzyJqmnPUIj6VEev0O/xjv8Yh8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30806:BnYsJAKAQSVgXCUUqACeACAAEhRYAwIhXQZAzAQSCCIAYkEmAVQyIOIogQArGEgzOaV1o/Ak8UysWEgEAAsKwrpKCFABMUFC

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:b3b3cc6c8c9b3322
Difference Hash:00100c080c0c1000
Wavelet Hash:0f0f272727270f0f
Color Hash:#e06c98

Other Hashes

Crop Resistant:00100c080c0c1000

Scan History

Scan history not available

Unable to load historical scan data