Security Scan Report: gopay-merchant-raccoon.gojekapi.com

Submitted: Aug 9, 2026, 9:13:53 PMCompleted: Aug 9, 2026, 9:15:40 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is gopay-merchant-raccoon.gojekapi.com and was registered NaN years ago.

Submitted URL: https://gopay-merchant-raccoon.gojekapi.com

The Cisco Umbrella rank of the primary domain is #49,535 of the top 1 million websites

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(66% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'gopay-merchant-raccoon.gojekapi.com' uses the commercial generic top-level domain (.com) with subdomain 'gopay-merchant-raccoon'. Its registrable label 'gojekapi' stretches across 8 characters with four vowels and 4 consonants. Segmentation suggests four words: go, j, ek, api. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gopay-merchant-raccoon.gojekapi.com

Page Load Overview

1.36s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:66%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:66%
Script Type:Latin
Text Length:48 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2147.139.171.249Jakarta, Jakarta, Indonesia
AS45102Alibaba (US) Technology Co., Ltd.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15FD022B6D660050E13326BDCEE82A14C4FC9F62A90324C42F5C4E0988AE6E2AC8033DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL9RAroLgRhrKHyWES8K4FLfRRyIdlEbXq:qzxV/5VHHQYk/B967LhrKnENdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:84390f91608b2ba23e4fed057d06a70b

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:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#d279c3

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data