Supported Platforms
VulnScan is distributed as a binary for:| Platform | Notes |
|---|---|
| Windows | Suitable for analyst laptops, workstations, and Windows Server deployments. |
| macOS | Suitable for analyst workstations and local CLI usage. |
| Linux | Recommended for shared Web UI servers, automation runners, and larger recurring scans. |
Hardware Sizing
| Deployment Size | Suggested Minimum | Recommended Use |
|---|---|---|
| Evaluation or small scan | 2 vCPU, 4 GB RAM, 10 GB free disk | Single analyst, a small number of domains/IPs, short-lived tests. |
| Team workspace | 4 vCPU, 8 GB RAM, 50 GB SSD | Shared Web UI, recurring scans, PDF reports, email notifications. |
| Large external attack surface | 8+ vCPU, 16-32 GB RAM, 100+ GB SSD | Large domain portfolios, CIDR ranges, frequent scheduled scans, higher report volume. |
Browser Requirements
The Web UI supports current versions of:- Google Chrome.
- Microsoft Edge.
- Mozilla Firefox.
- Apple Safari.
Network Requirements
The VulnScan host needs:- DNS resolution for target domains and subdomain discovery.
- Network reachability to the targets and ports included in the approved scope.
- Outbound access to CyStack licensing and update services for online deployments.
- Outbound access to mail providers when email notifications are enabled.
- Outbound access to AI cloud providers when AI-assisted analysis is configured with a cloud API token.
- Access to local/private AI endpoints when AI-assisted analysis is configured inside the customer environment.
Storage Planning
Storage usage grows with:- Number of assets and scan runs.
- Findings and evidence retained for each scan.
- Report exports, especially PDF.
- Local vulnerability intelligence data and offline artifacts.
- Logs and background job metadata.
AI Requirements
AI-assisted features are optional and depend on the licensed package and configuration. Supported deployment patterns include:| AI Mode | When to Use |
|---|---|
| AI cloud API token | Fast setup when the organization allows a compatible cloud AI provider. |
| Local/private AI endpoint | Sensitive environments that require data to stay inside the customer’s network. |
| Dedicated AI worker or agent | Larger or restricted deployments that separate scanning from AI analysis workloads. |