flux GPU is currently in its initial release. We will provide security updates for:

We take security seriously. If you discover a security vulnerability in flux GPU, please report it responsibly.

Do NOT create a public GitHub issue for security vulnerabilities.

Instead, please email:

• Email: concealment960@gmail.com
• Subject: [SECURITY] Brief description of issue

Please provide:

1. Description of the vulnerability
2. Steps to reproduce the issue
3. Potential impact (what an attacker could do)
4. Suggested fix (if you have one)
5. Your contact information for follow-up

• Acknowledgment: Within 48 hours
• Initial assessment: Within 1 week
• Fix timeline: Depending on severity
  • Critical: 1-3 days
  • High: 1-2 weeks
  • Medium: 2-4 weeks
  • Low: Next release

• We will work with you to understand and fix the issue
• We will credit you in the fix (unless you prefer to remain anonymous)
• We ask that you do not publicly disclose until we've released a fix
• We will coordinate disclosure timing with you

IMPORTANT: flux GPU is an educational platform. If you plan to use it in production:

1. Conduct thorough security review

   • RTL code review
   • Formal verification
   • Penetration testing

2. Known limitations:

   • No hardware security features (TEE, secure boot, etc.)
   • No side-channel attack mitigations
   • Designed for learning, not production security

3. Add security layers if needed:

   • Memory protection units
   • Access control
   • Encryption
   • Secure boot

1. Assembler/Simulator:

   • Input validation exists but may not be exhaustive
   • Do not run untrusted assembly programs
   • Sandbox if running user code

2. Firmware:

   • No authentication/authorization
   • Add security layers for production use

1. Supply chain security:

   • Verify tool downloads (checksums)
   • Use official PDKs
   • Review all scripts before running

2. Fabrication:

   • Use trusted fabrication sources
   • Understand shuttle risks
   • Review all GDSII carefully

1. Code review:

   • Review all changes carefully
   • Watch for injection vulnerabilities
   • Validate all inputs

2. Dependencies:

   • Keep Python packages updated
   • Review dependency changes
   • Use virtual environments

3. Secrets:

   • Never commit credentials
   • No API keys in code
   • Use environment variables

1. Updates:

   • Watch for security releases
   • Update promptly
   • Read release notes

2. Isolation:

   • Run simulations in containers
   • Don't run untrusted HDL
   • Sandbox FPGA programming

3. Verification:

   • Verify signatures (when available)
   • Check file hashes
   • Use official sources only

Security issues in:

• ✅ RTL code (potential hardware vulnerabilities)
• ✅ Python toolchain (code injection, etc.)
• ✅ Documentation (misleading security info)
• ✅ Build scripts (malicious code execution)

• ❌ Issues in third-party tools (Yosys, Verilator, etc.)
  • Report to those projects directly
• ❌ Physical security of manufactured chips
• ❌ Side-channel attacks (known limitation)
• ❌ Issues requiring physical access to FPGA

1. Input validation:

   • Assembly syntax checking
   • Instruction validation
   • Register bounds checking

2. Safe defaults:

   • No network access
   • Local-only operation
   • Sandboxed simulation

3. Open source:

   • Code is reviewable
   • Community can audit
   • Transparent development

1. Signed releases

   • Coming in future versions

2. Automated security scanning

   • Planned for CI/CD

3. Formal verification

   • Educational project scope

We will recognize security researchers who responsibly disclose vulnerabilities:

No vulnerabilities reported yet!

For security-related questions:

• Email: concealment960@gmail.com
• GitHub Discussions: https://github.com/dibyx/flux/discussions

For general questions, use GitHub Issues.

Thank you for helping keep flux GPU secure! 🔒