Security Scan Report: web-efaktur.pajak.go.id

Submitted: Dec 21, 2025, 7:11:50 PMCompleted: Dec 21, 2025, 7:16:14 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is web-efaktur.pajak.go.id and was registered NaN years ago.

Submitted URL: https://web-efaktur.pajak.go.id

The Cisco Umbrella rank of the primary domain is #74,409 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate government site with no detected security threats.

Safety Factors
Official .go.id government domain
Long registration history
No credential or payment collection elements
Domain age information unavailable

Details

Page Title

Aplikasi e-Faktur | Login

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

documentation technical

(32%)

Domain Information

The domain name 'web-efaktur.pajak.go.id' uses the Indonesian country-code top-level domain (.go.id) and includes subdomain 'web-efaktur'. The second-level label 'pajak' is 5 characters long holding 2 vowels versus three consonants. Word splitting yields 2 words: pa, jak. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://web-efaktur.pajak.go.id

Page Load Overview

32.02s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:138 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical32% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
32%
adult content
32%
news media journalism
29%
government public service
29%
healthcare medical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2103.28.106.229Indonesia
AS58476DIREKTORAT JENDERAL PAJAK
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E7E1031B8CEA89A251400C8DF8B1FA52ECE5571BA11CE9B8F0BC451CFFD1B8A4457A58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:kzKKUV2CSAqtchWDEuXJa27wYqS1/4/iaOZS19AKLx3+FSCc:LrSehWDEuXcWlQizZS19AKL5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6848:okgSiAtBxlERBDANGgEJY0DVaTDRUKJmQJaIYGVhoAAAEmIAAIBIBkIAAAQSENxaQEAAAhSIFkyRBJIW0pCjIggiEDBCAtaA

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:00003c3c3c3c3c3c
Perceptual Hash:8a653c92e79a6738
Difference Hash:5117e9e9e9f9f169
Wavelet Hash:01003c7c7c7c7d3d
Color Hash:#79d29b

Scan History

Scan history not available

Unable to load historical scan data