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Security Scan Report: mobile-bimaaktivasi-pemulihan.edgeone.dev

Submitted: Jul 8, 2026, 12:50:05 AMCompleted: Jul 8, 2026, 12:51:18 AMpubliccompleted
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Summary

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

Submitted URL: https://mobile-bimaaktivasi-pemulihan.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

The site impersonates Bank Bima without a login form but has attacker‑linked IPs and unknown subdomain age, indicating high risk of phishing.

Risk Factors
Brand impersonation on mismatched domain
Threat‑intel matches on hosting IPs
Unknown subdomain creation date
Safety Factors
No credential or payment forms
No malicious JavaScript or network 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 7 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 'mobile-bimaaktivasi-pemulihan.edgeone.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'mobile-bimaaktivasi-pemulihan'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Breaking it apart gives two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mobile-bimaaktivasi-pemulihan.edgeone.dev/

Page Load Overview

5.86s
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
143.174.246.29Singapore
AS139341ACE
143.174.247.29Singapore
AS139341ACE
145.43.142.8United Kingdom
AS16276OVH SAS
33--

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

T134B262672AB3046529A3D4A41BB79B0A3478D007D90AD9187F9C62C44FC2DE59DF3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:nb0vpSALX4mnjK8036/d8GH1nkv0O/OqhkT90uWeJJ+:MpSALXhnjKz6l8S1kv0O/OqhkU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25146:qAoGoknBFCASBgApgiA42wDgFIqGhmcJWnhMPAgFERB0LQgSjIKyciDBamkBjBYgAYBCMCxhlFAQDBCDgClhgAwAGAwAYDQw

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:#5371ac

Other Hashes

Crop Resistant:0cc8d00108000000,0000001010000000

Scan History

Scan history not available

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