Security Scan Report: realitylabs-graph.oculus.com

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Submitted: Nov 24, 2025, 5:07:12 PMCompleted: Nov 24, 2025, 5:11:26 PMpubliccompleted
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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 realitylabs-graph.oculus.com and was registered NaN years ago.

Submitted URL: https://realitylabs-graph.oculus.com/

The Cisco Umbrella rank of the primary domain is #12,854 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain with decades of registration
High Cisco Umbrella ranking indicating reputable site
Absence of login, payment, or suspicious forms
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

cryptocurrency blockchain

(30%)

Domain Information

The domain 'realitylabs-graph.oculus.com' uses the commercial generic top-level domain (.com), featuring subdomain 'realitylabs-graph'. The registrable portion 'oculus' spans 6 characters with 3 vowels and 3 consonants. Word splitting yields one word: oculus. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://realitylabs-graph.oculus.com/

Page Load Overview

0.26s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:211 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain30% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
30%
technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.0.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
12a03:2880:f277:1d0:face:b00c:0:32c2Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DBE0C032C8A00C135573A1EC58D1B10059C161175C300E857ECC907C9FCEC2BC8132C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96AAD/YIqkVg5YaidyeREH+8fAfkvMY0YNdxELa:kxV7HfAAEISeREH4GMzY7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:52d22616dace3dbb4e2db7b9bd9de1e0

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:83030303077f7e7f
Difference Hash:c0c0000000000000
Wavelet Hash:000fcfcff0f0f0f0
Color Hash:#3a784a

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data