Security Scan Report: appstore.pandora.xiaomi.com

Submitted: Mar 10, 2026, 11:25:04 PMCompleted: Mar 10, 2026, 11:26:47 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 appstore.pandora.xiaomi.com and was registered NaN years ago.

Submitted URL: https://appstore.pandora.xiaomi.com

The Cisco Umbrella rank of the primary domain is #3,115 of the top 1 million websitesTop 10K Site

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

🇺🇸

English

(29% confidence)

Category

documentation technical

(37%)

Domain Information

The domain name 'appstore.pandora.xiaomi.com' uses the commercial generic top-level domain (.com) with subdomain 'appstore.pandora'. The registrable portion 'xiaomi' spans 6 characters holding four vowels versus two consonants. Segmentation suggests 2 words: xiao, mi. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appstore.pandora.xiaomi.com

Page Load Overview

1.36s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
Text Length:201 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical37% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
37%
technology software
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.153.141.67Amsterdam, North Holland, Netherlands
AS8069Microsoft Corporation
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8E0EBF2432503C00C2E1AC229B2406E0E25B3B922B3479038CCC4FEEBC9049CE3ADC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxO96QUsPVCJecN+GF6yoHyMQKf1g1F+TNCy9nEcxFLD2LV19la:kxPQ/v0+GFOUMJssFLD2LV/la

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:118308cdbee5170a84a4d6ec9418e37b

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:1f3fffffffffffff
Perceptual Hash:87070707070f0fff
Difference Hash:e0c0000000000000
Wavelet Hash:1030f0f000000000
Color Hash:#40bfa8

Other Hashes

Crop Resistant:e0c0000000000000

Scan History

Scan history not available

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