Security Scan Report: in.appcenter.ms

Submitted: Nov 26, 2025, 3:20:50 AMCompleted: Nov 26, 2025, 3:23:46 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is in.appcenter.ms and was registered NaN years ago.

Submitted URL: https://in.appcenter.ms/

The Cisco Umbrella rank of the primary domain is #555 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>8 years)
High Cisco Umbrella ranking (top 1 K)
No malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

news media journalism

(52%)

Domain Information

Domain 'in.appcenter.ms' uses the .ms country-code top-level domain; it also runs on subdomain 'in'. Count 9 characters in 'appcenter' split between 3 vowels and 6 consonants. It segments into 2 words: app, center. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://in.appcenter.ms/

Page Load Overview

0.40s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
Text Length:115 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism52% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
52%
government public service
46%
healthcare medical
43%
adult content
39%
documentation technical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.247.72.241Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
14.153.25.145Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0D0EBB2C110082C5331A6ECCD86F534DB8A730EE0B18C00F0C8E164C6C668BC503A80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96krVX4xydI0FUUOZ9irHCwexzYNdxELa:kxV7HfkjXFUUe9iledY7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7c5e222e073843367ddbaa3157922fad

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:003fffffffffffff
Perceptual Hash:8303030b0b2f7f7f
Difference Hash:c541000000000000
Wavelet Hash:003ffcfc00000000
Color Hash:#4084bf

Other Hashes

Crop Resistant:c541000000000000

Scan History

Scan history not available

Unable to load historical scan data