Security Scan Report: gopay.co.id

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Submitted: Mar 5, 2026, 7:47:07 AMCompleted: Mar 5, 2026, 7:48:38 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 37 HTTP transactions. The main domain is gopay.co.id.

Submitted URL: https://gopay.co.id

The Cisco Umbrella rank of the primary domain is #115,726 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

GoPay - Aplikasi Ringan untuk Transfer & Bayar

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(96%)

Domain Information

You're looking at domain 'gopay.co.id' on the Indonesian country-code top-level domain (.co.id) and has no subdomain. The second-level label 'gopay' is 5 characters long with two vowels and 3 consonants. Breaking it apart gives 2 words: go, pay. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gopay.co.id

Page Load Overview

4.41s
Total Load Time
81
HTTP Requests
12
Domains
2.4 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:6,862 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
96%
technology software
94%
government public service
92%
education learning
90%
cryptocurrency blockchain
86%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
218.215.152.235Jakarta, Jakarta, Indonesia
AS45102Alibaba US Technology Co., Ltd.
20163.181.58.176Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
20172.64.155.119United States
AS13335Cloudflare, Inc.
20216.58.206.40Unknown
814--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1826473D1DF0E1019DD2A50E99D3862E44A3EA4339E1A4CFFFCA67B25CACD06C156D278

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qaPKPtM0dIbdAPYItM0dYrBbvMk+nULj67IDWC5sUoga7zCOEIVW9Ga9toSWd7r:fPKPtM0dIbuPYItM0dmBbU7UL+Km7r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:307250:IEACIkMAUlBHogQwSHECwZcBABhoIrAKjQCm9QAA4QwjUJSAJAVWnQgQcIFhREuQgBBAzip/iFMAAhEGDJQAjtZJYIxiBMIv

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:9d81818581fffff7
Perceptual Hash:be6a8599129ac66d
Difference Hash:69232f290b33344e
Wavelet Hash:9d81818581df9fe3
Color Hash:#3e931f

Scan History

Scan history not available

Unable to load historical scan data