Security Scan Report: verifikasi-aktif-serkom-83748388373-83737838373-w60fw2mmca.edgeone.dev

Submitted: Apr 29, 2026, 10:20:01 PMCompleted: Apr 29, 2026, 10:22:03 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is verifikasi-aktif-serkom-83748388373-83737838373-w60fw2mmca.edgeone.dev and was registered NaN years ago.

Submitted URL: https://verifikasi-aktif-serkom-83748388373-83737838373-w60fw2mmca.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Site shows no malicious activity but unknown subdomain age and unranked status warrant caution.

Risk Factors
Unranked domain
Subdomain creation date unknown
Hosted on a generic developer hosting platform
Safety Factors
No credential or payment collection forms
No malicious indicators or network alerts
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

https://kki.kolegium.farmasi.go.id/aktif-ners-3874sj74gd473hd

Scan Type

public

Language

🇳🇴

Norwegian

(45% confidence)

Category

healthcare medical

(84%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'verifikasi-aktif-serkom-83748388373-83737838373-w60fw2mmca.edgeone.dev' is registered, featuring subdomain 'verifikasi-aktif-serkom-83748388373-83737838373-w60fw2mmca'. Count 7 characters in 'edgeone' with four vowels and three consonants. Breaking it apart gives 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://verifikasi-aktif-serkom-83748388373-83737838373-w60fw2mmca.edgeone.dev/

Page Load Overview

1.45s
Total Load Time
3
HTTP Requests
2
Domains
101 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

Language Code:no
Detection Confidence:45%
Script Type:Latin
HTML Lang Attribute:id
Text Length:61 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as no

Website Classification

Primary Category

healthcare medical84% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
84%
government public service
74%
social media network
61%
news media journalism
61%
cryptocurrency blockchain
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
143.174.246.29Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10AF0DD124DA66186B429C3F056E53E4DB527431F87DECC0177C0BA988F94135C9C75D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hwRZLl7GWQAKKEzExyZyvwaHDoKKq3BvaI2Ivj4xvjxJsPD5j:hwRPyXAC3ZSwNk3VD2oei5j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:654:AAAAAIAAAAACAKAAAABAABAAAAAAAAEAAAIAAAAAAAQAhABAAAAAAAAAAAAgAAAAgAAAAAAAAAAAIAAAAAAABAAAAAAAgAAA

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:0000ffffffffffff
Perceptual Hash:e969692c96969696
Difference Hash:1696680200000000
Wavelet Hash:0000000ff0f0f0f0
Color Hash:#3a5f78

Other Hashes

Crop Resistant:1696680200000000

Scan History

Scan history not available

Unable to load historical scan data