Security Scan Report: qiux.ai

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Submitted: Sep 28, 2026, 11:22:22 AMCompleted: Sep 28, 2026, 11:23:05 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 50%

4
Risk Score

Self-branded sports score/AI site on a 62-day-old unranked domain with no forms, no IoC and no malware; only weak signals (new domain, gambling/USDT promotional text), so moderate risk at most.

Risk Factors (3)
Newly registered domain (62 days old)
Domain not ranked in Cisco Umbrella top 1M
Sports-betting / gambling affiliate and USDT crypto promotional content embedded in an otherwise data-oriented page
Safety Factors (6)
Site displays its OWN brand (QIUX.AI) matching its domain — self-branding, not brand impersonation
Zero credential, password, disguised-password or payment fields; no cross-origin form submissions
No Indicators of Compromise against the scanned page or loaded resources
No JavaScript YARA malware patterns and no known malicious kit in the roster
og:type is 'article' — content is scores/news/commentary about teams, not a login phishing page
Suricata alerts are informational only (Supabase platform/online-app-hosting observation), not phishing or malware
Domain age information unavailable

Details

Page Title

South Korea vs Uruguay · Friendlies · QIUX.AI

Scan Type

public

Domain Name Analysis

You're looking at domain 'qiux.ai' on the Anguillan country-code top-level domain (.ai) and has no subdomain. The registrable portion 'qiux' spans 4 characters split between two vowels and 2 consonants. Splitting it apart reveals two words: qi, ux. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qiux.ai/sports/v2/match/1628999

Page Load Overview

9.21s
Total Load Time
4.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:42%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:zh-CN
Text Length:4,144 chars
Detector Agreement:80%
Language mismatch: Declared as zh-CN but detected as en

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30185.158.133.1Cloudflare · CDNUnited Arab Emirates
AS13335Cloudflare, Inc.
21142.251.20.95Google · CDNUnited States
AS15169Google LLC
21104.20.39.36Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21142.251.14.95Google · CDNUnited States
AS15169Google LLC
21172.66.164.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21184.24.77.133Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
21172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21142.251.127.84Google · CDNUnited States
AS15169Google LLC
21184.24.77.150Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
24011--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A93E8347014583F15276B84FAC2FA9C6091F345CA128978F1BD12B7BBC6FF03466A9A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YPFyebx/c64Jysq7v0C4nncE5A4P10GD87wCh6WLMF9f9/tkj8wOZRT:DeCC4wWWLAB9/Wj8R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92903:HloDAFIpUrAE5BiQpCUVHMISYxNwaMQUikIUQRqhAYmSEUXAgEwwJgMIAUBSYElAsgHkcwowhTi0VsCkWKFgCcAlJElTKjmE

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:03fcfc7cfc7c7c00
Perceptual Hash:deff2fa12100215f
Difference Hash:4b2844f4f4f4f4f4
Wavelet Hash:03fcfcfc5c5c5c00
Color Hash:#99bf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data