Summary
This website contacted 3 IPs in 2 countries across 2 domains to perform 9 HTTP transactions. The main domain is teams.microsoft.com and was registered NaN years ago.
Submitted URL: https://teams.microsoft.com/dl/launcher/launcher.html?url=%2F_%23%2Fmeet%2F34062598003531%3Fp%3D9sAPFw6uddDf9SG6kd%26anon%3Dtrue&type=meet&deeplinkId=b14d7d1b-3c90-412e-be93-bb12d1c36c85&directDl=true&msLaunch=true&enableMobilePage=true
Effective URL: https://teams.microsoft.com/dl/launcher/launcher.html?url=%2F_%23%2Fmeet%2F34062598003531%3Fp%3D9sAPFw6uddDf9SG6kd%26anon%3Dtrue&type=meet&deeplinkId=b14d7d1b-3c90-412e-be93-bb12d1c36c85&directDl=true&msLaunch=true&enableMobilePage=true&suppressPrompt=trueRedirected
The Cisco Umbrella rank of the primary domain is #3 of the top 1 million websitesTop 100 Site
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate Microsoft Teams meeting link with no security concerns.
Safety Factors
Details
Page Title
Join conversation
Scan Type
public
Language
English
Category
technology software
(51%)Domain Information
You're looking at domain 'teams.microsoft.com' on the commercial generic top-level domain (.com) and includes subdomain 'teams'. Its registrable label 'microsoft' stretches across 9 characters with 3 vowels and six consonants. Splitting it apart reveals one word: microsoft. Expect nine characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 3 | 2.16.106.21 | Amsterdam, North Holland, Netherlands | AS20940Akamai International B.V. |
| 3 | 2.16.106.10 | Amsterdam, North Holland, Netherlands | AS20940Akamai International B.V. |
| 3 | 52.123.129.14 | Redmond, Washington, United States | AS8075Microsoft Corporation |
| 9 | 3 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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