Security Scan Report: ecom-api.euw.kiko.prod.eva-online.cloud

Submitted: Dec 24, 2025, 4:38:07 PMCompleted: Dec 24, 2025, 4:44:17 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is ecom-api.euw.kiko.prod.eva-online.cloud and was registered NaN years ago.

Submitted URL: https://ecom-api.euw.kiko.prod.eva-online.cloud

The Cisco Umbrella rank of the primary domain is #97,790 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

ecom-api.euw.kiko.prod.eva-online.cloud

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(62%)

Domain Information

The domain 'ecom-api.euw.kiko.prod.eva-online.cloud' uses the .cloud top-level domain, featuring subdomain 'ecom-api.euw.kiko.prod'. The second-level label 'eva-online' is 10 characters long with five vowels and four consonants; it also includes one hyphen. Splitting it apart reveals two words: eva, online. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ecom-api.euw.kiko.prod.eva-online.cloud

Page Load Overview

53.01s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:308 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software62% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
62%
cryptocurrency blockchain
55%
government public service
53%
healthcare medical
51%
e-commerce shopping
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
120.54.129.48Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz42bMy8Old4:qhoC9JSqzzbs6o3Sj3gcrsE2eAa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184801:FYMkkMIdKieNEEoIIECQiDIuYQgAQnNSSBKIQAQlQMANxkwYAADrgGjogJmAkFJIxQLO2iBERirAC6SnO1RCKiG2QOCQEJNh

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:ffc7c7c3f3ffffff
Perceptual Hash:b1339acccc633333
Difference Hash:001c0c1606000000
Wavelet Hash:30100400030f0f0f
Color Hash:#79d2bf

Other Hashes

Crop Resistant:001c0c1606000000

Scan History

Scan history not available

Unable to load historical scan data