Security Scan Report: aktivasi-pemulihann-bimaa-mobile.edgeone.dev

Submitted: Jul 8, 2026, 12:50:04 AMCompleted: Jul 8, 2026, 12:51:12 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is aktivasi-pemulihann-bimaa-mobile.edgeone.dev and was registered NaN years ago.

Submitted URL: https://aktivasi-pemulihann-bimaa-mobile.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 88%

3
Risk Score

The site impersonates Bank Bima, uses a malicious IP and unranked subdomain, indicating high‑risk brand phishing.

Risk Factors
Brand impersonation with mismatched domain
Known malicious IP associated with the site
Unranked / low‑reputation domain
Subdomain on a hosting platform with unknown creation date
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 8 to 3
Domain age information unavailable

Details

Page Title

Bank Bima

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(60%)

Domain Information

You're looking at domain 'aktivasi-pemulihann-bimaa-mobile.edgeone.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'aktivasi-pemulihann-bimaa-mobile'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. Segmentation suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aktivasi-pemulihann-bimaa-mobile.edgeone.dev/

Page Load Overview

0.93s
Total Load Time
3
HTTP Requests
2
Domains
60 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:710 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking60% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
60%
government public service
44%
technology software
27%
adult content
27%
cryptocurrency blockchain
26%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
245.43.142.7United Kingdom
AS16276OVH SAS
143.174.246.29Singapore
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A6B262672AB3046629A3D4A41BB79B0A3478D007D90AD9187F9C63C44FC2DE59DF3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:nb0vpSALX4mnjK80368d8GH1nkv0O/OqhkT90uWeJJ+:MpSALXhnjKz6u8S1kv0O/OqhkU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25146:qkoLoE1AFCFyRgCjAgAA0gHsNIqGAmGIWGBMlAgJERAvLA5ChJAC0iDFQGErDQYwhAjUsExBvFCQBgCCoCljwIwABAcAIKQQ

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:e7ff7f00ffffffff
Perceptual Hash:e222a3b77e7e8881
Difference Hash:0cc8d00108000000
Wavelet Hash:e7000000e4fcfcfc
Color Hash:#d28d2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data