Security Scan Report: akun.inaproc.id

Submitted: Jan 21, 2026, 8:02:21 PMCompleted: Jan 21, 2026, 8:03:47 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is akun.inaproc.id and was registered NaN years ago.

Submitted URL: https://akun.inaproc.id

The Cisco Umbrella rank of the primary domain is #156,693 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>10 years)
No forms collecting sensitive data
No malicious Indicators of Compromise
Low risk indicator count (0)
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

N/A

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

government public service

(28%)

Domain Information

You're looking at domain 'akun.inaproc.id' on the Indonesian country-code top-level domain (.id), featuring subdomain 'akun'. Count 7 characters in 'inaproc' containing 3 vowels alongside 4 consonants. Breaking it apart gives three words: in, a, proc. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://akun.inaproc.id

Page Load Overview

0.26s
Total Load Time
4
HTTP Requests
2
Domains
N/A
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
Text Length:362 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service28% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
28%
phishing scam
28%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.16.80.73United States
2162.159.140.153United States
AS13335CLOUDFLARENET
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103E2D0B335F68647052C240E71DABF51AEA5E2130A1B5BE431BC09B4CF54BC59C67B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Vta14U8nGvPTpzrjSGLQrLcWLJkWciHf3:VL9GvNSeQrIYSWcif3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31842:gOxBEgyshAS8AxcIyEhAOBJYajlKiIiBEAKLQE0AE2lGTAUAI1AgQcpEtBAyGAECCYYQgk1sqEEYASCJSAkBMAcqARgFjXME

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:bf83839f9b9fffff
Perceptual Hash:bc3fc3829a923c65
Difference Hash:6006373132340404
Wavelet Hash:9d818189899bf3f3
Color Hash:#c587af

Other Hashes

Crop Resistant:6006373132340404

Scan History

Scan history not available

Unable to load historical scan data