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

Submitted: Jan 20, 2026, 2:31:04 PMCompleted: Jan 20, 2026, 2:32:42 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 17 HTTP transactions. The main domain is sipp.pn-mempawah.go.id and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #586,782 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no detected security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Official government subdomain
Domain age information unavailable

Details

Page Title

SIPP

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

phishing scam

(32%)

Domain Information

Within the Indonesian country-code top-level domain (.go.id), 'sipp.pn-mempawah.go.id' is registered with subdomain 'sipp'. The registrable portion 'pn-mempawah' spans 11 characters split between 3 vowels and 7 consonants; bonus characters include 1 hyphen. Breaking it apart gives 4 words: pn, me, mpa, wah. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

19.66s
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:4,079 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam32% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

phishing scam
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18103.112.245.7Indonesia
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

T17701A7970C4DDB38E33A4C90E0262148D86DD20DEBACAD51D28301E575E66F8115CAA9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxVj0h23n4qWVJ+P3nZJ+P3nyPJ+P3nniJ+P3neLtPpJqJmWfnoQ8NVG:kH73cwP3ZwP3yPwP3niwP3ARiraNVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:694:BAACAACACAAAAAiAAAAAQAAAAoQAAAAAAgAAAAAAAAAAAAAEAAAAAAAAAAAAiAAAAAAAAAAAAAAABgAAABEAAAAAAAAAAIAA

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:00ffffffffffffff
Perceptual Hash:f171717171717170
Difference Hash:06e0000000000000
Wavelet Hash:0000010123330303
Color Hash:#87c599

Other Hashes

Scan History

Scan history not available

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