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Security Scan Report: aktivasipemuluhanbimamobile.netlify.app

Redirected to:
https://aktivasipemuluhanbimamobile.netlify.app/
Submitted: Jul 7, 2026, 1:45:07 AMCompleted: Jul 7, 2026, 1:46:14 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 aktivasipemuluhanbimamobile.netlify.app and was registered NaN years ago.

Submitted URL: http://aktivasipemuluhanbimamobile.netlify.app/

Effective URL: https://aktivasipemuluhanbimamobile.netlify.app/Redirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site impersonates Bank Bima on an unranked Netlify subdomain but lacks credential collection; treat as moderate risk.

Risk Factors
Brand impersonation without matching domain
Unknown subdomain creation date
Unranked / low‑reputation domain
Safety Factors
No forms collecting credentials or payments
No JavaScript malware matches or suspicious behavior
No network IDS 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

(74%)

Domain Information

The domain name 'aktivasipemuluhanbimamobile.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'aktivasipemuluhanbimamobile'. Count 7 characters in 'netlify' split between 2 vowels and 5 consonants. It segments into three words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://aktivasipemuluhanbimamobile.netlify.app/

Page Load Overview

0.33s
Total Load Time
4
HTTP Requests
2
Domains
62 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
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
245.43.142.5United Kingdom
AS16276OVH SAS
42--

Detected Technologies1

Open-Graph-Protocolvwebsite
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4D263672AB300616AA3D5E41BF75B0A35389007D946D9183FAC63C48FC2DD5A9E3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:nNfhYJLmJt/byJqnmnPUIj6XQscEGtv0O/WWJpd5SqQh2mXQlv0uWeJJ+:NALmfzyJqmnPUIj6MEev0O/xjv8Yh8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30806:xiR5IAIAAQRADCkKKRCe8gBpkh0AIwKhVwMGXJBQWhYAJAHACQAWAMIgpAgDG2g5lYN1IWog28wJ8EAABBpLkphTFFIgLOUR

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:#4240bf

Other Hashes

Crop Resistant:00100c080c0c1000

Scan History

Scan history not available

Unable to load historical scan data