Security Scan Report: xn--tiq27l.cc

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Submitted: Jul 21, 2026, 6:59:32 AMCompleted: Jul 21, 2026, 7:00:42 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is xn--tiq27l.cc and was registered NaN years ago.

Submitted URL: https://xn--tiq27l.cc/

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

New, unranked site impersonates a brand without forms, indicating high phishing risk.

Risk Factors
Very new domain (<7 days)
Brand impersonation (title/branding unrelated to domain)
Unranked / low reputation domain
Domain age information unavailable

Details

Page Title

南宫集团官方导航站

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

social media network

(82%)

Domain Information

The domain name 'xn--tiq27l.cc' uses the .cc country-code top-level domain and has no subdomain. The second-level label 'xn--tiq27l' is 10 characters long holding one vowel versus 5 consonants, notching 2 digits and 2 hyphens. Breaking it apart gives five words: xn, t, iq, 27, l. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--tiq27l.cc/

Page Load Overview

2.95s
Total Load Time
16
HTTP Requests
1
Domains
2.1 MB
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
HTML Lang Attribute:zh-CN
Text Length:355 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network82% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
82%
gambling betting
51%
corporate business
50%
adult content
42%
entertainment media
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1620.2.234.127Azure · CLOUDHong Kong, Hong Kong
AS8075Microsoft Corporation
161--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12983096B97A724313A2790E96BE7538A33799103C40BCC683FEC9684CFD1C958967B5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:WwhkBq3WPvowGR2OcOQDWWS0oBl2k3QfF2nLDOm7rbq:zhkBq3WPvxGRpcPS0oBl2ffF2XO+rbq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85569:FCrIjAA1XRgCA5K2BEgFaikw4kUwCgIgE8KmMgBgLocoALHA4DEkBJrCRGBK0UPxWIgiFPGXBCgUWF0ERJpghAYkRBkwCtAC

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:83ffff8183e7819e
Perceptual Hash:bcc3c72b3c69c318
Difference Hash:3b22403b3a4a2330
Wavelet Hash:81ffff8080ee809e
Color Hash:#87c5a3

Other Hashes

Crop Resistant:3b22403b3a4a2330

Scan History

Scan history not available

Unable to load historical scan data