Security Scan Report: touch-us.xiaoyi.com

Submitted: Mar 13, 2026, 1:02:12 PMCompleted: Mar 13, 2026, 1:03:51 PMpubliccompleted
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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 touch-us.xiaoyi.com and was registered NaN years ago.

Submitted URL: https://touch-us.xiaoyi.com

The Cisco Umbrella rank of the primary domain is #22,792 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇪🇸

CA

(36% confidence)

Category

documentation technical

(38%)

Domain Information

Within the commercial generic top-level domain (.com), 'touch-us.xiaoyi.com' is registered and includes subdomain 'touch-us'. The second-level label 'xiaoyi' is 6 characters long split between four vowels and 2 consonants. Segmentation suggests two words: xiao, yi. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://touch-us.xiaoyi.com

Page Load Overview

0.81s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇪🇸CA
Code: ca
Confidence:36%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ca
Detection Confidence:36%
Script Type:Unknown
Text Length:110 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical38% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
38%
phishing scam
30%
finance banking
27%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
247.251.111.27United States
AS45102Alibaba US Technology Co., Ltd.
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18BD02B71D56000072633D9CC895679484ACCB20B95310E05B5C8AAB4D4D747BD823340

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B968AJoMKj48bdJRH39AvRNdxELa:kxV7HfRJFK0eJJw7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:732006117f18b5161bc0a8fdfdffb062

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:991939393939393d
Difference Hash:b000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#2d8668

Other Hashes

Crop Resistant:b000000000000000

Scan History

Scan history not available

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