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Security Scan Report: aktivasiii-pemulihan-bima-mobile.edgeone.dev

Submitted: Jul 7, 2026, 8:50:09 PMCompleted: Jul 7, 2026, 8:51:20 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 5 domains to perform 11 HTTP transactions. The main domain is aktivasiii-pemulihan-bima-mobile.edgeone.dev and was registered NaN years ago.

Submitted URL: https://aktivasiii-pemulihan-bima-mobile.edgeone.dev/login.html

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics the Bima brand but lacks login forms; unknown subdomain age and attacker‑linked IP raise moderate risk.

Risk Factors
Brand impersonation on a non‑official domain
Unranked / low‑reputation domain
Unknown subdomain age
Hosted on a generic developer subdomain (edgeone.dev)
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 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

Domain 'aktivasiii-pemulihan-bima-mobile.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'aktivasiii-pemulihan-bima-mobile'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Splitting it apart reveals 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://aktivasiii-pemulihan-bima-mobile.edgeone.dev/login.html

Page Load Overview

4.18s
Total Load Time
11
HTTP Requests
5
Domains
91 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
643.174.247.29Singapore
AS139341ACE
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1135.181.63.70Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
116--

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:e7e7dfc3c3fff7df
Perceptual Hash:e4739b6764999924
Difference Hash:0a0cb08686700cb8
Wavelet Hash:c3c3c3c3032f0307
Color Hash:#a0d279

Other Hashes

Crop Resistant:0a0cb08686700cb8

Scan History

Scan history not available

Unable to load historical scan data