Security Scan Report: kioqg.shop

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Submitted: May 19, 2026, 9:54:30 PMCompleted: May 19, 2026, 9:56:01 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is kioqg.shop.

Submitted URL: http://kioqg.shop/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The site shows a 404 page, has no forms or malicious activity, and is brand‑new; overall low risk.

Risk Factors
Domain is unranked in Cisco Umbrella
Domain is brand new (0 days old)
Safety Factors
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No credential exfiltration or suspicious network alerts
Page returns a 404 Not Found response
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

news media journalism

(43%)

Domain Information

You're looking at domain 'kioqg.shop' on the commerce-oriented generic top-level domain (.shop) while skipping any subdomain. The second-level label 'kioqg' is 5 characters long holding two vowels versus 3 consonants. It segments into two words: kio, qg. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://kioqg.shop/

Page Load Overview

11.19s
Total Load Time
7
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
Text Length:91 chars
Detector Agreement:50%

Website Classification

Primary Category

news media journalism43% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
43%
adult content
37%
healthcare medical
36%
documentation technical
32%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4207.57.224.130United States
AS54801Zillion Network Inc.
343.159.107.113Singapore
72--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131018E9E6C52DA8859C33DD89BEBE64CD09D8176B919C81664D5D08D3929FE80C1235C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kTeRHe82j+QfsVHPZXuiZzlHhRWZRwn2wXY5CfoZg+tq+/AvhNVF:8eFe8k+nx+6PwA2wX1QXRQhN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:830:gAAAQAAAAAgAAAAAIAAAAAAAAAAAAAwAAAQAAEQAAAAABAAAgAAAAgEAACAAAAAAAAAKBAAQAgABAAACAAAAAAAAAEAAAAAA

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:e666666666662333
Difference Hash:0c00000000000000
Wavelet Hash:00ff3f3f00000000
Color Hash:#e0c36c

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data