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Security Scan Report: belajar.id

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Submitted: Sep 22, 2026, 1:13:26 AMCompleted: Sep 22, 2026, 1:14:05 AMpubliccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/6c01e316-576a-4be1-9dea-9e22d3a1e62cDomain and IP registration (RDAP)/api/v1/rdap/6c01e316-576a-4be1-9dea-9e22d3a1e62cCertificate Transparency/api/v1/ct/belajar.idHow often this domain was scanned/api/v1/domain/stats/belajar.idScan history for this domain/api/v1/domain/history/belajar.id?limit=15

This website contacted 12 IPs in 1 country across 9 domains to perform 53 HTTP transactions. The main domain is belajar.id and was registered 21 years ago.

Submitted URL: https://belajar.id

The Cisco Umbrella rank of the primary domain is #131,451 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official Indonesian Ministry of Education account portal (belajar.id). Nine-year-old self-branded domain, no forms, no credential/payment collection, no malware or threat-intel hits. Legitimate government service.

Safety Factors (5)
Well-established domain (9 years old) with matching self-branding
Official Indonesian government education service portal
No forms, no password or payment collection surfaces on the page
No threat-intel, YARA, IDS, or JavaScript exfiltration signals
Physical/organizational attribution visible (Pusdatin Kemendikdasmen, official copyright)
Domain age information unavailable

Details

Page Title

Akun belajar.id | Kemendikdasmen

Scan Type

public

Domain Name Analysis

Domain 'belajar.id' uses the Indonesian country-code top-level domain (.id) and has no subdomain. The core label 'belajar' covers 7 characters split between three vowels and four consonants. Breaking it apart gives two words: bela, jar. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://belajar.id

Page Load Overview

2.22s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:42%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:3,112 chars
Detector Agreement:80%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

government public service99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
99%
education learning
98%
technology software
48%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
934.117.105.125Google · CDNKansas City, Missouri, United States
AS396982Google LLC
4142.251.13.95Google · CDNUnited States
AS15169Google LLC
4142.251.156.119Google · CDNUnited States
AS15169Google LLC
4142.250.154.94Google · CDNUnited States
AS15169Google LLC
435.227.244.9Google · CDNKansas City, Missouri, United States
AS396982Google LLC
4142.251.13.97Google · CDNUnited States
AS15169Google LLC
4172.67.71.159Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.26.13.204Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.110.94Google · CDNUnited States
AS15169Google LLC
4216.239.32.36Google · CDNUnited States
AS15169Google LLC
5312--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B781FF63B908C4169201C3A37AE2F51DD143A21E8658D8F1F8FE44B9B791BE2497369F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBuGSq9V8wO7k8kGh9C6t2VIpB2LkaOhlo2:tupq9VVok8kACq2ViBMkHr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3837:FASAAAJEFUCEAAgGAACYACAEAwMQIAEQUQIACMMgQYBKoCBIGhSAASBQswEABQAIAAIOBCIAAwiYAEEEoAiACAAABkAAMABA

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:ff00000000ffffff
Perceptual Hash:e2429ebec3c29e4a
Difference Hash:69cfc9c9c92d2c20
Wavelet Hash:ff00000000ffffff
Color Hash:#784f3a

Other Hashes

Crop Resistant:69cfc9c9c92d2c20,a404845531a604a4,21c9c9c9c9c9c931

Scan History

Scan history not available

Unable to load historical scan data