Security Scan Report: sipp.pn-sintang.go.id

Submitted: Apr 12, 2026, 2:04:07 AMCompleted: Apr 12, 2026, 2:05:28 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is sipp.pn-sintang.go.id and was registered NaN years ago.

Submitted URL: https://sipp.pn-sintang.go.id

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows no malicious indicators, has an established government domain, and contains no credential or payment forms, indicating it is legitimate.

Safety Factors
Long‑standing domain registration
Government .go.id TLD
Absence of credential or payment collection
No malicious IoC or malware signals
No network or IDS alerts
Domain age information unavailable

Details

Page Title

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Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

government public service

(43%)

Domain Information

You're looking at domain 'sipp.pn-sintang.go.id' on the Indonesian country-code top-level domain (.go.id) with subdomain 'sipp'. Its registrable label 'pn-sintang' stretches across 10 characters with 2 vowels and seven consonants; it also includes one hyphen. Breaking it apart gives 4 words: pn, s, in, tang. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sipp.pn-sintang.go.id

Page Load Overview

2.19s
Total Load Time
18
HTTP Requests
1
Domains
334 KB
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:4,174 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
43%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18103.233.103.51Indonesia
AS136107PT. Tujuh Ion Indonesia
181--

Detected Technologies2

JQueryv1.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17832E75CEED06274F22303DD73AB382A1524A1DB2509C188F58C6DE6BF4B78D4A56F1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GXHNsGeTHQpD+da6+8QPUV7lrDyjFrxzEXV4fNFYOkZ9S/qjm5sAq+UW3u3h7Bca:GXX+/zV7SFZEXV41FYOknS/qm55q3W3E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11433:UFAUaEEFqISoAESrQQRDaBlEWQwpEiwZApgIICwCJhCcAYki9ghBEYEUQPAnFJwZsDKIwAIcTCCtCMEQChCJdQGCQoYEhkIy

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:ffffff81dbffffff
Perceptual Hash:bf2fc0c03f3fc0c0
Difference Hash:0000012323000000
Wavelet Hash:f3f3818100000000
Color Hash:#9887c5

Other Hashes

Crop Resistant:0000012323000000

Scan History

Scan history not available

Unable to load historical scan data