Summary
This website contacted 8 IPs in 1 country across 6 domains to perform 33 HTTP transactions. The main domain is meta.com and was registered NaN years ago.
Submitted URL: https://www.oculus.com/
Effective URL: https://www.meta.com/quest/Redirected
The Cisco Umbrella rank of the primary domain is #12,854 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is legitimate with no security concerns.
Safety Factors
Details
Page Title
Meta Store
Scan Type
public
Language
English
Category
other
(63%)Domain Information
Within the commercial generic top-level domain (.com), 'www.oculus.com' is registered and includes subdomain 'www'. The core label 'oculus' covers 6 characters split between three vowels and three consonants. Splitting it apart reveals one word: oculus. The median word length lands at 6 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 |
|---|---|---|---|
| 25 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 157.240.0.13 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 2a03:2880:f177:185:face:b00c:0:25de | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 2a03:2880:f084:10d:face:b00c:0:2 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 2a03:2880:f277:1d0:face:b00c:0:32c2 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 157.240.0.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 33 | 8 | - | - |
Detected Technologies1
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
Scan history not available
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