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Security Scan Report: siapkerja.kemnaker.go.id

Redirected to:
https://account.kemnaker.go.id/auth/login
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Submitted: May 12, 2026, 8:30:29 AMCompleted: May 12, 2026, 8:31:45 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 14 domains to perform 205 HTTP transactions. The main domain is account.kemnaker.go.id and was registered NaN years ago.

Submitted URL: https://siapkerja.kemnaker.go.id

Effective URL: https://account.kemnaker.go.id/auth/loginRedirected

The Cisco Umbrella rank of the primary domain is #99,954 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

The site appears to be a compromised government login page with strong indicators of credential phishing and malware activity.

Risk Factors
Critical IDS alerts (malware data exfiltration & C2 beacon)
Hidden password field
Large HTTP POST requests to external endpoints
Potential credential harvesting on government‑branded site
Domain age information unavailable

Details

Page Title

Masuk ke Akun : SIAPkerja ID : Kementerian Ketenagakerjaan RI

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

government public service

(29%)

Domain Information

Within the Indonesian country-code top-level domain (.go.id), 'siapkerja.kemnaker.go.id' is registered; it also runs on subdomain 'siapkerja'. The core label 'kemnaker' covers 8 characters holding three vowels versus 5 consonants. It segments into three words: ke, mn, aker. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://siapkerja.kemnaker.go.id

Page Load Overview

1.59s
Total Load Time
18
HTTP Requests
6
Domains
71 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:229 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service29% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.251.127.94United States
AS15169Google LLC
2104.16.79.73United States
AS13335Cloudflare, Inc.
2149.129.233.232Jakarta, Jakarta, Indonesia
AS45102Alibaba US Technology Co., Ltd.
2142.250.154.95United States
AS15169Google LLC
2163.181.225.45Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
2188.114.97.3United States
AS13335Cloudflare, Inc.
2147.139.164.60Jakarta, Jakarta, Indonesia
AS45102Alibaba US Technology Co., Ltd.
2163.181.225.42Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
2163.181.225.49Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
189--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10911CC672C90A00D8335A65024FAB01FF8A5750B87898A41B8CD957E4FA1FD78B97DA8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hI3hZhOOupc6Drl2qsqGraAVEIsIBBJfI3IPYkG:eRdup1EqsqIdBJ+n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:930:AAQAAAAAAAAAAAAAAAAAAAAAAIAQAAgAAQAAAAAAAABAQAAAAAQAABACAAAgAhAAAAAAUAIAAAAIAAAAAAAAAAIAAAAAAAAA

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:e7e7e7e7e7ffffff
Perceptual Hash:b3338ccc66669999
Difference Hash:08080c0c0c000008
Wavelet Hash:24242424e4fcfce4
Color Hash:#8440bf

Other Hashes

Crop Resistant:08080c0c0c000008

Scan History

Scan history not available

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