âšī¸ ABOUT PDA BRUTE FORCING
SEARCH METHODS
âAddress prefix/suffix matching
âPattern-based searching
âCustom seed generation
âBump seed optimization
âMulti-threaded processing
PERFORMANCE
âĄHigh-speed PDA generation
âĄSmart search strategies
âĄProgress tracking & ETA
âĄPause/resume functionality
âĄMemory efficient scanning
SECURITY
đClient-side computation only
đNo private data transmission
đCryptographically secure
đDeterministic results
đVerification included
HOW IT WORKS:
1. Enter program ID and search criteria
2. Configure seeds and search patterns
3. Set performance and limit parameters
4. Start brute force search process
5. Review found PDAs matching criteria
2. Configure seeds and search patterns
3. Set performance and limit parameters
4. Start brute force search process
5. Review found PDAs matching criteria
PERFORMANCE NOTES:
âĸ Complex patterns may take significant time
âĸ CPU intensive - may affect device performance
âĸ Longer patterns exponentially harder to find
âĸ Use reasonable search limits and timeouts
âĸ CPU intensive - may affect device performance
âĸ Longer patterns exponentially harder to find
âĸ Use reasonable search limits and timeouts
đ¯ PDA BRUTE FORCER
Find Program Derived Addresses (PDAs) with specific properties
Seed 1
Common Patterns:
đ PDA TECHNICAL GUIDE
Program Derived Address Basics:
PDA = findProgramAddress([seeds...], programId)
SEED COMPONENTS:
âĸ String seeds (UTF-8 encoded)
âĸ PublicKey seeds (32 bytes)
âĸ Number seeds (u8, u16, u32, u64)
âĸ Custom byte arrays
âĸ Bump seed (0-255)
DERIVATION PROCESS:
1. Concatenate all seeds
2. Append program ID
3. Hash with SHA256
4. Check if on curve
5. If on curve, increment bump
Search Strategies & Difficulty:
Pattern Type | Difficulty | Time Estimate | Strategy |
---|---|---|---|
1 char prefix | Easy | < 1 second | Sequential seed variation |
2 char prefix | Easy | 1-5 seconds | Random seed generation |
3 char prefix | Medium | 10-60 seconds | Multi-threaded search |
4 char prefix | Hard | 5-30 minutes | Optimized algorithms |
5+ char prefix | Very Hard | Hours to days | Distributed computing |
Specific suffix | Variable | Similar to prefix | Reverse search patterns |
Common Use Cases:
Vanity Program Accounts
Create program accounts with memorable addresses for branding and user recognition. Useful for DEX pools, token vaults, etc.
Gas Optimization
Find PDAs with specific properties that can reduce transaction costs or improve program efficiency through address patterns.
Security Research
Research address collision possibilities and test program security assumptions related to PDA generation.
Development Tools
Generate test addresses for development, find addresses with specific properties for testing edge cases.
Performance Optimization Tips:
SPEED OPTIMIZATION:
âĸ Use shorter search patterns when possible
âĸ Increase worker thread count for CPU-intensive tasks
âĸ Close other applications to free up resources
âĸ Use incremental search strategies
âĸ Set reasonable time limits for complex searches
âĸ Consider prefix over suffix for better performance
SEARCH STRATEGY:
âĸ Start with common seed patterns
âĸ Use meaningful seed combinations
âĸ Leverage program-specific seed structures
âĸ Consider bump seed optimization
âĸ Use batch processing for multiple searches
âĸ Save successful patterns for reuse
Example Seed Configurations:
Token Vault PDA
Seeds: "vault", "user_pubkey", "mint_pubkey"
Use case: User-specific token storage accounts
findProgramAddress(["vault", userKey, mintKey], programId)
Liquidity Pool PDA
Seeds: "pool", "token_a", "token_b"
Use case: AMM liquidity pool addresses
findProgramAddress(["pool", tokenA, tokenB], programId)
User Profile PDA
Seeds: "profile", "authority", "counter"
Use case: User account management
findProgramAddress(["profile", authority, counter], programId)
Governance PDA
Seeds: "governance", "realm", "proposal_id"
Use case: DAO governance structures
findProgramAddress(["governance", realm, proposalId], programId)