Summary
API
Submitted URL: https://mycvlanes.com/
AI Security Verdict
Safe Website
Confidence: 96%
Redirect from mycvlanes.com lands on Microsoft's official Microsoft 365 page (microsoft.com). Genuine brand-owned content with no forms, no threat-intel hits and no malicious scripts; not impersonation.
Safety Factors (3)
Details
Page Title
Microsoft 365 für Privatpersonen: Abonnement für Produktivitäts-Apps
Scan Type
public
Domain Name Analysis
The domain name 'mycvlanes.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'mycvlanes' covers 9 characters containing two vowels alongside 7 consonants. Splitting it apart reveals three words: my, cv, lanes. Average segment length settles at two characters. 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 |
|---|---|---|---|
| 15 | 2.23.246.101Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 12 | 104.21.35.126Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 12 | 146.75.121.91Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 12 | 146.75.121.181Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 12 | 23.56.203.142Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 12 | 23.36.162.220Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 12 | 150.171.109.104Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 12 | 23.52.181.212Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 12 | 150.171.109.100Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 12 | 20.190.159.2Office365 · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 207 | 17 | - | - |
Detected Technologies10
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan history not available
Unable to load historical scan data