Security Scan Report: jakevo-aktif-39838382828-8384848-b4xmlsc655.edgeone.app

Submitted: Feb 2, 2026, 4:36:29 AMCompleted: Feb 2, 2026, 4:38:03 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is jakevo-aktif-39838382828-8384848-b4xmlsc655.edgeone.app and was registered NaN years ago.

Submitted URL: https://jakevo-aktif-39838382828-8384848-b4xmlsc655.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Site impersonates JAKEVO on an unrelated, low‑rank domain – likely a phishing page.

Risk Factors
Brand impersonation on a non‑official domain
Domain‑brand mismatch
Low Cisco Umbrella ranking for a claimed government service
Suspicious subdomain that mimics the brand name
Domain age information unavailable

Details

Page Title

https://jakevo.jakarta.go.id/verify/683e7364bfeb2509dd

Scan Type

public

Language

🇮🇩

ID

(44% confidence)

Category

healthcare medical

(82%)

Domain Information

The domain 'jakevo-aktif-39838382828-8384848-b4xmlsc655.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'jakevo-aktif-39838382828-8384848-b4xmlsc655'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Segmentation suggests two 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://jakevo-aktif-39838382828-8384848-b4xmlsc655.edgeone.app/

Page Load Overview

7.00s
Total Load Time
12
HTTP Requests
8
Domains
343 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:44%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:44%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:998 chars
Detector Agreement:75%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

healthcare medical82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
82%
government public service
73%
real estate property
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
3103.209.7.103Indonesia
AS134659Diskominfo DKI Jakarta
3172.217.16.200Singapore
3151.101.129.229Unknown
124--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8337D62ADE73C0A9352CD8122ECBED83C5C170B95195DD5729E9A61DFC0F4286E338D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:VxexwxfgETvUX0cWAQu9c6swJEuel2ZLQu60gN0HEe+3j:VxexwxffMMJu9/JXi2Zu0gN0HENT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50942:EEFUIYQTACRQBAgT4IAQQRgAAEAEOBgLKwQYIRBEkIQAA6JyEEAgAAUFQIBmyCQdDgaACIIoIAgCqEJIIYDYqAiANoGBD4Aw

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:7f3f1f3f073f3f3f
Perceptual Hash:87f080f026e19f3f
Difference Hash:c0f070cc6c606060
Wavelet Hash:3e3e0e3e023e1e1e
Color Hash:#c58b87

Other Hashes

Crop Resistant:c0f070cc6c606060

Scan History

Scan history not available

Unable to load historical scan data