Security Scan Report: appcenter.ms

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Submitted: Feb 26, 2026, 4:14:09 AMCompleted: Feb 26, 2026, 4:15:16 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 4 domains to perform 27 HTTP transactions. The main domain is appcenter.ms and was registered NaN years ago.

Submitted URL: https://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: 96%

0
Risk Score

Legitimate Microsoft Visual Studio App Center site; no security concerns detected.

Safety Factors
Established domain with multi‑year registration
High reputation in Cisco Umbrella rankings
Official Microsoft branding and content
No suspicious JavaScript beyond normal minification
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Visual Studio App Center | iOS, Android, Xamarin & React Native

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

The domain 'appcenter.ms' uses the .ms country-code top-level domain. Its registrable label 'appcenter' stretches across 9 characters containing three vowels alongside six consonants. It segments into 2 words: app, center. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appcenter.ms

Page Load Overview

1.29s
Total Load Time
25
HTTP Requests
3
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,723 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
70%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
920.50.88.234Germany
813.107.213.45United States
AS8075Microsoft Corporation
823.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
253--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CE2741A56F311292853A0A9A7FB2705FBB5C007C24ADD9C7DDD9248DFC6AC5C8A378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:H4QjNGe8zdtukelG/7gZvR8atAh3d9w3+HRDOM/cQ7:H4QjMe8zdtukelG/70xtAh3d9U+xfkK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31868:egcEh4bSYhgUSQwY4mNhxgwIcQ5kXA448emCSnoEqEAQwgGTAIHAgJhYcwATkaCY6ICuhklAEfQODA4JtUkgIIMIOMTHwAy6

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:000004040400ffff
Perceptual Hash:b205ed0db46e369a
Difference Hash:829a9d8c9c79a94c
Wavelet Hash:037e0c060e04ffff
Color Hash:#c5879e

Other Hashes

Scan History

Scan history not available

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