stirfry-spam-filter/README.md

Strfry Nostr Spam Filter

Features

• Reputation-based filtering system
• Per-user rate limiting
• Content similarity detection
• New account protection
• Bot behavior detection
• Progressive penalty system
• Automatic recovery mechanism
• Kind-specific rate limits
• Configurable thresholds

Installation

1. Clone this repository:

git clone https://github.com/yourusername/strfry-spam-filter.git

2. Make the filter executable:

chmod +x relay-spam-filter.js

3. Configure your strfry relay to use the filter:

# Add to your strfry configuration
plugins = [
  {
    exec = "/path/to/relay-spam-filter.js"
  }
]

Configuration

The filter includes many configurable options. Here are the key settings:

Rate Limits

maxRepliesPerMinute: 50,        // Maximum replies per minute per user
maxRepliesPerHour: 400,         // Maximum replies per hour per user

Event-Type Specific Limits

kindSpecificLimits: {
    0: { maxPerHour: 10 },      // Profile updates
    3: { maxPerHour: 5 },       // Contact list updates
    1: {                        // Regular posts
        maxPerMinute: 30,
        maxPerHour: 200
    }
}

Reputation System

reputationConfig: {
    initialScore: 100,          // Starting reputation for new users
    goodEventBonus: 1,          // Points gained for good events
    spamPenalty: -15,           // Base penalty for spam
    recoveryRate: 3,            // Points recovered per hour
    minScore: -100,             // Minimum possible reputation
    maxScore: 1000,             // Maximum possible reputation
    blockThreshold: -50,        // Users blocked at this score
    blockRecoveryThreshold: -25 // Must recover to this to post again
}

New User Protection

newPubkeyReplyThreshold: 60,    // Seconds new users must wait to reply
newPubkeyMaxPostsIn5Min: 10     // Maximum posts in first 5 minutes

Content Analysis

contentSimilarityThreshold: 0.8, // 80% similarity triggers spam detection
fastReplyThreshold: 30,          // Minimum seconds between reply and original post

How It Works

Reputation System

The filter maintains a reputation score for each user:

1. New users start at 100 points
2. Good behavior slowly increases reputation
3. Spam behavior results in penalties:
   • -15 points above 0 reputation
   • -20 points below -25 reputation
   • -25 points below -50 reputation
4. Recovery rates:
   • 3 points/hour above 0
   • 2 points/hour between -25 and 0
   • 1 point/hour below -50
5. Users are blocked at -50 until they recover to -25

Spam Detection

The filter checks for several types of spam behavior:

1. Rate Limiting

   • Monitors post frequency per user
   • Different limits for different event types
   • Limits scale with reputation

2. Content Analysis

   • Checks for duplicate content across users
   • Detects suspiciously fast replies
   • Identifies bot-like behavior patterns

3. New Account Protection

   • Stricter limits for new accounts
   • Longer waiting periods for replies
   • Limited initial posting rate

4. Bot Detection

   • Identifies automated posting patterns
   • Checks for relay URL spam
   • Monitors reply timing patterns

Progressive Enforcement

The system becomes progressively stricter with problematic behavior:

1. Initial warnings and small penalties
2. Increased penalties for continued violations
3. Stricter rate limits for low-reputation users
4. Eventual blocking for persistent offenders

Bypass Rules

Certain event kinds can bypass specific checks:

allowedKinds: [3, 5, 10001, 10002, 30311],  // Bypass content checks
bypassAllChecksKinds: [38383]                // Bypass all checks

Monitoring

The filter provides detailed logging:

[2024-12-19T10:15:30.123Z] Event abc123 from pubkey xyz789 (reputation: 85.50)
[2024-12-19T10:15:30.124Z] Rate limit exceeded for pubkey xyz789

Performance Considerations

• Memory usage is managed through periodic cleanup
• Old events and stats are automatically purged
• Reputation data persists for 24 hours of inactivity

Contributing

Contributions are welcome!

License

MIT License - See LICENSE file for details