PDA BRUTE FORCE FINDER

Find Program Derived Addresses with specific properties and patterns

â„šī¸ ABOUT PDA BRUTE FORCING

SEARCH METHODS

✓Address prefix/suffix matching
✓Pattern-based searching
✓Custom seed generation
✓Bump seed optimization
✓Multi-threaded processing

PERFORMANCE

⚡High-speed PDA generation
⚡Smart search strategies
⚡Progress tracking & ETA
⚡Pause/resume functionality
⚡Memory efficient scanning

SECURITY

🔒Client-side computation only
🔒No private data transmission
🔒Cryptographically secure
🔒Deterministic results
🔒Verification 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
PERFORMANCE NOTES:
â€ĸ Complex patterns may take significant time
â€ĸ CPU intensive - may affect device performance
â€ĸ Longer patterns exponentially harder to find
â€ĸ Use reasonable search limits and timeouts

đŸŽ¯ PDA BRUTE FORCER

Find Program Derived Addresses (PDAs) with specific properties

Seed 1
Common Patterns:

📚 PDA TECHNICAL GUIDE

Program Derived Address Basics:

PDA = findProgramAddress([seeds...], programId)
SEED COMPONENTS:
â€ĸ String seeds (UTF-8 encoded)
â€ĸ PublicKey seeds (32 bytes)
â€ĸ Number seeds (u8, u16, u32, u64)
â€ĸ Custom byte arrays
â€ĸ 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 TypeDifficultyTime EstimateStrategy
1 char prefixEasy< 1 secondSequential seed variation
2 char prefixEasy1-5 secondsRandom seed generation
3 char prefixMedium10-60 secondsMulti-threaded search
4 char prefixHard5-30 minutesOptimized algorithms
5+ char prefixVery HardHours to daysDistributed computing
Specific suffixVariableSimilar to prefixReverse 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:
â€ĸ Use shorter search patterns when possible
â€ĸ Increase worker thread count for CPU-intensive tasks
â€ĸ Close other applications to free up resources
â€ĸ Use incremental search strategies
â€ĸ Set reasonable time limits for complex searches
â€ĸ Consider prefix over suffix for better performance
SEARCH STRATEGY:
â€ĸ Start with common seed patterns
â€ĸ Use meaningful seed combinations
â€ĸ Leverage program-specific seed structures
â€ĸ Consider bump seed optimization
â€ĸ Use batch processing for multiple searches
â€ĸ 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)