Security Scan Report: subang.go.id

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Submitted: Nov 1, 2025, 4:17:27 AMCompleted: Nov 1, 2025, 4:19:04 AMpubliccompleted
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Summary

This website contacted 36 IPs in 2 countries across 8 domains to perform 55 HTTP transactions. The main domain is subang.go.id and was registered NaN years ago.

Submitted URL: https://subang.go.id/public/wisata/seni-dan-budaya/doger-subang

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government cultural page with no security concerns.

Safety Factors
Established government domain
Long domain age indicating stability
Absence of suspicious forms or data collection
Content aligns with expected cultural information
Domain age information unavailable

Details

Page Title

Doger Subang

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(90%)

Domain Information

Within the Indonesian country-code top-level domain (.go.id), 'subang.go.id' is registered without a subdomain. The registrable portion 'subang' spans 6 characters split between 2 vowels and four consonants. It segments into two words: su, bang. Median word length comes out to 3 characters. 'su' is most common in Lithuanian usage. You will also see it in Bosnian and Croatian contexts.

Screenshot

Security scan screenshot of https://subang.go.id/public/wisata/seni-dan-budaya/doger-subang

Page Load Overview

51.77s
Total Load Time
55
HTTP Requests
8
Domains
4.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:4,306 chars
Detector Agreement:67%

Website Classification

Primary Category

entertainment media90% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
90%
government public service
75%
forum community discussion
73%
adult content
58%
education learning
44%

Detected Features

Search
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20216.239.34.36United States
AS15169GOOGLE
1104.26.8.123United States
AS13335CLOUDFLARENET
1172.67.208.157United States
AS13335CLOUDFLARENET
1172.67.75.33United States
AS13335CLOUDFLARENET
1151.101.129.229San Francisco, California, United States
AS54113FASTLY
1142.250.186.104United States
AS15169GOOGLE
1104.16.80.73United States
AS13335CLOUDFLARENET
1104.21.15.234United States
AS13335CLOUDFLARENET
1142.250.186.110United States
AS15169GOOGLE
1151.101.130.137San Francisco, California, United States
AS54113FASTLY
5536--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1700385B288F5103F064AE5D46618770AAF939007EB9BE612B3BD0BD5BF82D52DC0761D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:UCxpIpK5Qb+9rAQz9/WjOaiE0qZU/lKbakyJs+3ehiBigG6/y:UCxpIc5Qb+9rAQz9/WqaJ+NKuPeoIF6K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38357:oQwRpgIBQAKtSQAgQjVhHgGhU2MjoUUgSwcqYDgvQS4DOxCJgAMRAyRj9YpBNDHJRYFwiTIFQFobYkiFBpBEe5OBQIRLklgA

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:ff000000ffffffff
Perceptual Hash:8d42b5f084f88ff1
Difference Hash:dcf1717137121a76
Wavelet Hash:7f0000008bffff3b
Color Hash:#4062bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data