Security Scan Report: aktivasipemuluhanbimamobile.netlify.app

Submitted: Jul 7, 2026, 8:50:13 PMCompleted: Jul 7, 2026, 8:51:20 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is aktivasipemuluhanbimamobile.netlify.app and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site impersonates Bank Bima without collecting credentials, posing a moderate phishing risk.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Unknown subdomain creation date
Safety Factors
No malicious JavaScript or obfuscation detected
No credential exfiltration or external form submissions
No network IDS alerts or threat‑intel matches
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

Domain 'aktivasipemuluhanbimamobile.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'aktivasipemuluhanbimamobile'. The second-level label 'netlify' is 7 characters long with two vowels and five consonants. Word splitting yields three words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.98s
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
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
145.43.142.7United Kingdom
AS16276OVH SAS
32--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0D263672AB300616AA3D5E41BF75B0A3538D007D946D9183FAC63C48FC2DD5A9E3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:TNfhYJLmJt/byJqkmnrUIj6XQscEGtv0O/WWJpd5SqQh2mXQlv0uWeJJ+:RALmfzyJq9nrUIj6MEev0O/xjv8Yh8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30821:xUIYCO4xotE58gAiAwcRGSMgVAiMCwQgQARkblHgYDBxZwDLAsKOBCABSIItoBCBgUCgsizFCKshMBDWIwQjNvYBDG4EJjBG

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:e7e77f00b7ffffff
Perceptual Hash:a3b3e2e76e589888
Difference Hash:0ccc90296248d280
Wavelet Hash:e7e77f00302169d3
Color Hash:#79d292

Other Hashes

Crop Resistant:0ccc90296248d280

Scan History

Scan history not available

Unable to load historical scan data