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Security Scan Report: bima-mobile-aktivasi-pemulihan.edgeone.app

Redirected to:
https://bima-mobile-aktivasi-pemulihan.edgeone.app/login.html
Submitted: Jul 7, 2026, 12:45:45 AMCompleted: Jul 7, 2026, 12:49:22 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 bima-mobile-aktivasi-pemulihan.edgeone.app and was registered NaN years ago.

Submitted URL: https://bima-mobile-aktivasi-pemulihan.edgeone.app/

Effective URL: https://bima-mobile-aktivasi-pemulihan.edgeone.app/login.htmlRedirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics the Bima brand on an unranked hosting subdomain without collecting credentials, but threat‑intel and impersonation raise moderate risk.

Risk Factors
Brand impersonation on unknown‑age subdomain
Unranked domain with no reputation
Threat‑intel match to malicious IP address
Safety Factors
No forms collecting credentials or payments
No JavaScript malware detections
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

Bima Login

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

healthcare medical

(53%)

Domain Information

The domain 'bima-mobile-aktivasi-pemulihan.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'bima-mobile-aktivasi-pemulihan'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Word splitting yields two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bima-mobile-aktivasi-pemulihan.edgeone.app/

Page Load Overview

1.02s
Total Load Time
14
HTTP Requests
5
Domains
304 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:121 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical53% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
53%
documentation technical
38%
technology software
38%
finance banking
33%
cryptocurrency blockchain
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
7135.181.63.70Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
142--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A532B83627131531597BF1A96BCA96283036D403AC89CA18779C53079FD3EA993B2B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:8VteIDVy15IORAKzvPFyIbxE37w4UymCbhh77a3vj:CDVy3AsFjxCUIh4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11620:RpEiAwF1YIijGAFGAhNuADQkQPBwcVYAcKARYMioKDjAACFSopLA8KawCGgIDvQgCICBcAC7ho6iQcYDihAwZ7NCjEAmz1J0

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:ffffffffffffe7e7
Perceptual Hash:b3cc338c3399cc33
Difference Hash:000000080000080c
Wavelet Hash:3f3f3f2730303c24
Color Hash:#6cc1e0

Other Hashes

Crop Resistant:000000080000080c

Scan History

Scan history not available

Unable to load historical scan data