Security Scan Report: aktivasi-newbimamobilee.edgeone.dev

Submitted: Jul 8, 2026, 12:50:02 AMCompleted: Jul 8, 2026, 12:51:10 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 aktivasi-newbimamobilee.edgeone.dev and was registered NaN years ago.

Submitted URL: https://aktivasi-newbimamobilee.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

The site impersonates Bank Bima, is hosted on an unknown‑age subdomain, and resolves to a known‑malicious IP, indicating high‑risk brand phishing.

Risk Factors
Brand impersonation on mismatched domain
Unknown subdomain age on hosting platform
Unranked / low‑reputation domain
IP address flagged as known attacker
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 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

Domain 'aktivasi-newbimamobilee.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'aktivasi-newbimamobilee'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. Breaking it apart gives 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://aktivasi-newbimamobilee.edgeone.dev/

Page Load Overview

0.81s
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
243.174.246.29Singapore
145.43.142.3United Kingdom
AS16276OVH SAS
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142B272672AB3006629A3C4A41BB79B0A3478D007D90AD9187F9C62C44FC2DE59DF3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:nb0vpSALX4mnjK8036ud8GH1nkv0O/OqhkT90uWeJJ+:MpSALXhnjKz6E8S1kv0O/OqhkU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25146:AAgnpJDUeEIOhgBDoAY4GCnoJoACQycIlAFkZhvAFAJHBEGDMse2CiahEYgjohqJaYIOIPAs9AAITEklafOEgBwBhEgMYJBC

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:#d2ad79

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data