Security Scan Report: graph.oculus.com

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Submitted: Dec 4, 2025, 12:57:32 AMCompleted: Dec 4, 2025, 12:59:11 AMpubliccompleted
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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 graph.oculus.com and was registered NaN years ago.

Submitted URL: https://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

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain with long registration history
High Cisco Umbrella ranking indicating reputable site
No credential or payment collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

technology software

(30%)

Domain Information

You're looking at domain 'graph.oculus.com' on the commercial generic top-level domain (.com) with subdomain 'graph'. The core label 'oculus' covers 6 characters holding three vowels versus three consonants. Segmentation suggests 1 word: oculus. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.17s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
Text Length:211 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software30% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
30%
cryptocurrency blockchain
28%
documentation technical
27%

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--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T167E0C032C8A04817516354ED69D2610055C0711B4C200D85BFCC917C8FDED2ACC232C5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96AAD/YIqkVg5YaidyeREH+8fAC0Mk76Y0YNdxELa:kxV7HfAAEISeREH4L76zY7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:3937ab8fdc216bb599ae060c2475b0c3

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:000f0fffffffffff
Perceptual Hash:9f1f0f66e0707071
Difference Hash:f878189000000000
Wavelet Hash:00070f7f0f0f0f0f
Color Hash:#b96ce0

Other Hashes

Crop Resistant:f878189000000000

Scan History

Scan history not available

Unable to load historical scan data