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Security Scan Report: sora-invite-system.vercel.app

Submitted: Oct 5, 2025, 8:47:05 AMCompleted: Oct 5, 2025, 8:48:07 AMpubliccompleted
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Summary

This website contacted 46 IPs in 2 countries across 11 domains to perform 38 HTTP transactions. The main domain is sora-invite-system.vercel.app and was registered NaN years ago.

Submitted URL: https://sora-invite-system.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The site mimics OpenAI Sora but lacks direct malicious signs; treat as moderately risky.

Risk Factors
Brand impersonation (OpenAI Sora) on a non‑official domain
Unranked domain status combined with marketing of paid invite codes
Potential for selling invalid or non‑existent invite codes
Safety Factors
Domain age is 2077 days (well‑established)
No malicious Indicators of Compromise detected
No password or payment fields present
Domain age information unavailable

Details

Page Title

Buy Sora Invite Code - Get Instant Access to OpenAI Sora App | Official Invite Codes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

You're looking at domain 'sora-invite-system.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'sora-invite-system'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. It segments into two words: ver, cel. Expect 3 characters per word on average. 'ver' is most common in Portuguese usage. It also appears in Portuguese (Brazil) and Galician contexts.

Screenshot

Security scan screenshot of https://sora-invite-system.vercel.app/

Page Load Overview

12.89s
Total Load Time
38
HTTP Requests
11
Domains
190 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:4,731 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
53%
entertainment media
46%
government public service
46%
cryptocurrency blockchain
45%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3820.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
018.245.31.104United States
AS16509AMAZON-02
018.173.205.118United States
AS16509AMAZON-02
0142.250.184.232United States
AS15169GOOGLE
013.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
018.245.31.10United States
AS16509AMAZON-02
054.68.104.103Boardman, Oregon, United States
AS16509AMAZON-02
018.173.205.12United States
AS16509AMAZON-02
064.29.17.3United States
AS16509AMAZON-02
018.245.31.42United States
AS16509AMAZON-02
3846--

Detected Technologies6

Open-Graph-Protocolvwebsite
100%
Google Tag Manager
50%
Vercel
40%
HSTS
40%
Stripe
35%
Google Analytics
35%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7B2A766B5F01427019342927DA67B2A7F74A10FDB4895A03BBC029C6FCEDE6C53325E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:abK9VR90L7db6Pkhea9UpieXichGxDsMkdFY:aMR90/Z6Pkhea9FUi/DsPg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24328:sFAlAFMIwCDgGdICBNIFBXw0JJ0DkBChAJZAcFYNQk4OkYC4JhQAJAkOgFMASwBA4NQLeIEPDGCg7wCGAMFhwhGkCQCEWQro

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:e6e7ffe7e7c3ffff
Perceptual Hash:f757dd5466321888
Difference Hash:0e4c104d0c0c44aa
Wavelet Hash:c6c6c3c3c1c1e7c3
Color Hash:#4d2d86

Other Hashes

Crop Resistant:0e4c104d0c0c44aa

Scan History

Scan history not available

Unable to load historical scan data