Security Scan Report: ecom-app.rakutenadvertising.io

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Submitted: Nov 28, 2025, 6:18:16 AMCompleted: Nov 28, 2025, 6:23:25 AMpubliccompleted
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Summary

This website contacted 29 IPs in 0 countries across 5 domains to perform 17 HTTP transactions. The main domain is ecom-app.rakutenadvertising.io and was registered NaN years ago.

Submitted URL: https://ecom-app.rakutenadvertising.io/

The Cisco Umbrella rank of the primary domain is #29,135 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Merchant onboarding app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

The domain 'ecom-app.rakutenadvertising.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'ecom-app'. Count 18 characters in 'rakutenadvertising' holding seven vowels versus 11 consonants. Tokenizing the label suggests four words: rak, u, ten, advertising. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ecom-app.rakutenadvertising.io/

Page Load Overview

1.31s
Total Load Time
17
HTTP Requests
5
Domains
2.9 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:70 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
corporate business
44%
documentation technical
44%
finance banking
36%
e-commerce shopping
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.250.186.115UnknownUnknown
5142.250.186.187UnknownUnknown
334.8.38.243UnknownUnknown
235.201.112.186UnknownUnknown
1104.18.10.207UnknownUnknown
0142.250.186.59UnknownUnknown
0142.250.184.251UnknownUnknown
0142.250.181.251UnknownUnknown
0142.250.185.147UnknownUnknown
0142.250.186.123UnknownUnknown
1729--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B2011E83CC0081DD9730038FFE71B06CCC45752DA9A17C50B8E701AA19E07B2AD22C66

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hXH56tlixRAqpGa5xbVGQAVWH3VqeC75j2a:F6oxxvwQLYeC7Rf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:838:AAQABAAAICAAAAAAAAQAAAgAAAAAIAAAAAAAAAAAAAAAAAAAAAIIAAAAAAABAAAAIAoAAAAAAQBAgAgAAEBAQAACAAAIEAAQ

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#798cd2

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data