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

Submitted: Jul 7, 2026, 1:45:02 AMCompleted: Jul 7, 2026, 1:46:10 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 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: 84%

3
Risk Score

The site impersonates Bank Bima on an unranked PaaS subdomain and resolves to attacker‑associated IPs, indicating a high‑risk phishing page.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Threat‑intel matches to attacker IPs
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

Within the developer-focused generic top-level domain (.dev), 'mobile-bimaaktivasi-pemulihan.edgeone.dev' is registered with subdomain 'mobile-bimaaktivasi-pemulihan'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 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

1.26s
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
245.43.142.6United Kingdom
AS16276OVH SAS
143.174.247.29Singapore
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142B262672AB3046529A3D4A41BB79B0A3478D007D90BD9187F9C62C44FC2DE59DF3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:zb0vpSALXjmn3K8036/d8GH1nkv0O/OqhkT90uWeJJ+:QpSALXyn3Kz6l8S1kv0O/OqhkU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25131:o7YTOhCAoIVQjhORkEgwIBABIggBcKiIBCpWIhaAngRBwshaPmyZ1AwMBQyhRwKAlGOoQ8qkiIYtBU0oAQERgQ6nAikB5EAA

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:b333cccc8c333333
Difference Hash:00100c080c0c1000
Wavelet Hash:c0c0c4c4c7c7cfcf
Color Hash:#53ac9f

Other Hashes

Crop Resistant:00100c080c0c1000

Scan History

Scan history not available

Unable to load historical scan data