Security Scan Report: katalogugreenkingstar-ke74iaq0nj.edgeone.app

Submitted: Mar 27, 2026, 6:30:37 AMCompleted: Mar 27, 2026, 6:31:51 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is katalogugreenkingstar-ke74iaq0nj.edgeone.app and was registered NaN years ago.

Submitted URL: https://katalogugreenkingstar-ke74iaq0nj.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting platform with no red‑flag behavior
Page content does not claim to be an official brand
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(46%)

Domain Information

Within the application-focused generic top-level domain (.app), 'katalogugreenkingstar-ke74iaq0nj.edgeone.app' is registered and includes subdomain 'katalogugreenkingstar-ke74iaq0nj'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. It segments into 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://katalogugreenkingstar-ke74iaq0nj.edgeone.app/

Page Load Overview

0.41s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:80 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism46% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
46%
finance banking
42%
healthcare medical
40%
cryptocurrency blockchain
40%
technology software
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10812D8C9EBE706C8A81BC4682FFF5725222DE053D449C95DB99E0F548F05188B5FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBdhDh1RaXQl:KrzhNK/lMHmGgdkqIRd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9612:JAUS1nQGBcMQPBUWIU2gxAAiSAGkDQQENFCJAABKyHEQAYEIQMS0wwKCCYcCQNaCoTicVSAmTExaJIhJCCJGCSsCvCaWAMED

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a982c6d65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#6253ac

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data