Security Scan Report: miui-fxcse.avlyun.com

Submitted: Jul 27, 2026, 6:03:45 AMCompleted: Jul 27, 2026, 6:05:32 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 miui-fxcse.avlyun.com and was registered NaN years ago.

Submitted URL: https://miui-fxcse.avlyun.com

The Cisco Umbrella rank of the primary domain is #42,240 of the top 1 million websites

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'miui-fxcse.avlyun.com' on the commercial generic top-level domain (.com) and includes subdomain 'miui-fxcse'. Count 6 characters in 'avlyun' split between two vowels and 4 consonants. Word splitting yields 3 words: a, vl, yun. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://miui-fxcse.avlyun.com

Page Load Overview

1.59s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:18 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2111.48.95.164Wuhan, Hubei, China
AS9808China Mobile Communications Group Co., Ltd.
21--

Page Statistics

2
Requests
1
Unique Domains
0.2 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1C08073C470451AA1366BDCCD82B55C4FC5F21DD4324D41B7C0F4A4D9D7917C443284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iLpfZMTYS8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B96cfZcYNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:42dbdefa763752f5e3d20631c999a173

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:83030707070f7f7f
Difference Hash:8000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#3a4478

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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