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Security: cybergodev/json

Security

docs/SECURITY.md

🛡️ Security Guide

This document provides comprehensive security guidelines and best practices for using the cybergodev/json library in production environments.

📋 Table of Contents

Overview

The cybergodev/json library is designed with security as a core principle. It provides multiple layers of protection against common security threats including:

  • Denial of Service (DoS) attacks through resource exhaustion
  • Path traversal attacks in file operations
  • Injection attacks through malicious JSON paths
  • Memory exhaustion through oversized JSON payloads
  • Stack overflow through deeply nested JSON structures
  • Information disclosure through error messages and caching

Security Features

1. Input Validation

The library performs comprehensive validation on all JSON inputs:

// Automatic validation with default configuration
processor := json.New()
defer processor.Close()

// Validation includes:
// - JSON size limits (default: 10MB)
// - Nesting depth limits (default: 50 levels)
// - Object key count limits (default: 10,000 keys)
// - Array element limits (default: 10,000 elements)
// - Malicious pattern detection

2. Resource Limits

Built-in protection against resource exhaustion:

  • JSON Size Limit: Prevents processing of oversized payloads
  • Nesting Depth Limit: Prevents stack overflow attacks
  • Path Depth Limit: Prevents excessive path traversal
  • Concurrency Limit: Prevents thread exhaustion
  • Cache Size Limit: Prevents memory exhaustion

3. Path Sanitization

Automatic sanitization of JSON paths to prevent injection attacks:

// Paths are validated for:
// - Null bytes (\x00)
// - Excessive length (>10,000 characters)
// - Suspicious patterns (script tags, eval, etc.)
// - Path traversal attempts (../, ..\)

4. Secure Caching

Cache operations include security measures:

  • Sensitive data detection: Automatic exclusion of sensitive data from cache
  • Secure hashing: SHA-256 based cache key generation
  • Cache key validation: Prevention of cache injection attacks
  • TTL enforcement: Automatic expiration of cached data

Configuration

Default Configuration

The default configuration provides balanced security and performance:

config := json.DefaultConfig()
// Default security settings:
// - MaxJSONSize: 10MB
// - MaxPathDepth: 100
// - MaxNestingDepthSecurity: 50
// - MaxObjectKeys: 10,000
// - MaxArrayElements: 10,000
// - EnableValidation: true

High Security Configuration

For high-security environments, use the HighSecurityConfig:

config := json.HighSecurityConfig()
processor := json.New(config)
defer processor.Close()

// High security settings:
// - MaxJSONSize: 5MB (more restrictive)
// - MaxPathDepth: 20 (shallow paths only)
// - MaxNestingDepthSecurity: 20 (very restrictive)
// - MaxObjectKeys: 1,000 (fewer keys)
// - MaxArrayElements: 1,000 (fewer elements)
// - StrictMode: true (strict validation)
// - EnableValidation: true (forced validation)

Custom Security Configuration

Create a custom configuration for specific security requirements:

config := &json.Config{
    // Size and depth limits
    MaxJSONSize:               5 * 1024 * 1024,  // 5MB
    MaxPathDepth:              30,               // Maximum path depth
    MaxNestingDepthSecurity:   25,               // Maximum nesting depth
    MaxObjectKeys:             5000,             // Maximum object keys
    MaxArrayElements:          5000,             // Maximum array elements
    MaxSecurityValidationSize: 10 * 1024 * 1024, // 10MB validation limit

    // Validation settings
    EnableValidation: true,  // Enable input validation
    StrictMode:       true,  // Enable strict mode
    ValidateInput:    true,  // Validate all inputs

    // Rate limiting
    EnableRateLimit:  true,  // Enable rate limiting
    RateLimitPerSec:  1000,  // Max operations per second

    // Concurrency limits
    MaxConcurrency:    20,   // Maximum concurrent operations
    MaxBatchSize:      100,  // Maximum batch size

    // Cache settings
    EnableCache:  true,
    MaxCacheSize: 1000,
    CacheTTL:     5 * time.Minute,
}

processor := json.New(config)
defer processor.Close()

Viewing Security Limits

Check current security configuration:

limits := config.GetSecurityLimits()
fmt.Printf("Security Limits: %+v\n", limits)
// Output:
// {
//   "max_nesting_depth": 50,
//   "max_security_validation_size": 104857600,
//   "max_object_keys": 10000,
//   "max_array_elements": 10000,
//   "max_json_size": 10485760,
//   "max_path_depth": 100
// }

Input Validation

Automatic Validation

All JSON inputs are automatically validated when EnableValidation is true:

processor := json.New()
defer processor.Close()

// This will be validated automatically
result, err := processor.Get(jsonString, "path.to.data")
if err != nil {
    // Handle validation errors
    var jsonsErr *json.JsonsError
    if errors.As(err, &jsonsErr) {
        if errors.Is(jsonsErr.Err, json.ErrSizeLimit) {
            log.Printf("JSON too large: %v", err)
        } else if errors.Is(jsonsErr.Err, json.ErrInvalidJSON) {
            log.Printf("Invalid JSON: %v", err)
        }
    }
}

Schema Validation

Use schema validation for strict data validation:

// Define a schema
schema := &json.Schema{
    Type: "object",
    Properties: map[string]*json.Schema{
        "username": {
            Type:      "string",
            MinLength: 3,
            MaxLength: 50,
            Pattern:   "^[a-zA-Z0-9_]+$",
        },
        "email": {
            Type:   "string",
            Format: "email",
        },
        "age": {
            Type:    "number",
            Minimum: 0,
            Maximum: 150,
        },
    },
    Required: []string{"username", "email"},
}

// Validate JSON against schema
errors, err := processor.ValidateSchema(jsonString, schema)
if err != nil {
    log.Printf("Validation failed: %v", err)
}
if len(errors) > 0 {
    for _, validationErr := range errors {
        log.Printf("Validation error at %s: %s",
            validationErr.Path, validationErr.Message)
    }
}

Security Validation

The library performs security-specific validation:

// Checks performed:
// 1. JSON size limits
// 2. Nesting depth limits
// 3. Object key count limits
// 4. Array element limits
// 5. Malicious pattern detection
// 6. Null byte detection
// 7. Excessive string length detection

// Example: Detecting deeply nested JSON
deeplyNested := `{"a":{"b":{"c":{"d":{"e":{"f":{"g":{"h":{"i":{"j":"value"}}}}}}}}}}}`
_, err := processor.Get(deeplyNested, "a.b.c.d.e.f.g.h.i.j")
// Will fail if nesting exceeds MaxNestingDepthSecurity

Path Security

Path Validation

All JSON paths are validated for security:

// Safe paths
processor.Get(jsonString, "user.profile.name")        // ✓ Safe
processor.Get(jsonString, "items[0].id")              // ✓ Safe
processor.Get(jsonString, "data.users{id,name}")      // ✓ Safe

// Unsafe paths (will be rejected)
processor.Get(jsonString, "path\x00injection")        // ✗ Null byte
processor.Get(jsonString, strings.Repeat("a.", 5001)) // ✗ Too long

Path Sanitization

Sensitive information in paths is automatically sanitized:

// Paths containing sensitive keywords are redacted in error messages
processor.Get(jsonString, "user.password")
// Error message will show: [REDACTED_PATH] instead of actual path

// Sensitive patterns detected:
// - password
// - token
// - key
// - secret
// - auth

Path Depth Limits

Prevent excessive path traversal:

config := &json.Config{
    MaxPathDepth: 20, // Maximum 20 levels deep
}
processor := json.New(config)
defer processor.Close()

// This will fail if path depth exceeds limit
result, err := processor.Get(jsonString, "a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.p.q.r.s.t.u")

File Operations Security

File Path Validation

File operations include comprehensive path validation:

processor := json.New()
defer processor.Close()

// Safe file operations
err := processor.ReadFile("./data/config.json")        // ✓ Safe
err = processor.WriteFile("./output/result.json", data) // ✓ Safe

// Unsafe operations (will be rejected)
err = processor.ReadFile("../../../etc/passwd")        // ✗ Path traversal
err = processor.ReadFile("/etc/shadow")                // ✗ System directory
err = processor.ReadFile("file\x00.json")              // ✗ Null byte

Protected System Directories

Access to sensitive system directories is blocked:

// Blocked directories (Unix/Linux):
// - /etc/
// - /proc/
// - /sys/
// - /dev/

// Example:
err := processor.ReadFile("/etc/passwd")
// Returns error: "access to system directories not allowed"

File Size Limits

File operations respect size limits:

config := &json.Config{
    MaxJSONSize: 10 * 1024 * 1024, // 10MB limit
}
processor := json.New(config)
defer processor.Close()

// Files larger than MaxJSONSize will be rejected
err := processor.ReadFile("large_file.json")
if err != nil {
    if errors.Is(err, json.ErrSizeLimit) {
        log.Printf("File too large: %v", err)
    }
}

Secure File Writing

File write operations include safety checks:

// Write with validation
data := map[string]interface{}{
    "status": "success",
    "data":   result,
}

err := processor.WriteFile("output.json", data)
if err != nil {
    log.Printf("Write failed: %v", err)
}

// The library will:
// 1. Validate the file path
// 2. Check for path traversal
// 3. Validate the data before writing
// 4. Use atomic writes when possible

Cache Security

Sensitive Data Detection

The cache automatically excludes sensitive data:

// Data containing sensitive keywords is not cached
sensitiveData := `{
    "username": "john",
    "password": "secret123",
    "api_token": "abc123xyz"
}`

// This will not be cached due to sensitive keywords
result, err := processor.Get(sensitiveData, "username")

// Sensitive patterns detected:
// - password
// - token
// - secret
// - key
// - auth
// - credential

Secure Cache Keys

Cache keys use secure hashing:

// Cache keys are generated using SHA-256
// This prevents:
// 1. Cache key collision attacks
// 2. Cache timing attacks
// 3. Information disclosure through cache keys

// Example internal implementation:
hash := sha256.Sum256([]byte(input))
cacheKey := fmt.Sprintf("%x", hash[:16])

Cache Key Validation

Cache keys are validated to prevent injection:

// Invalid cache keys are rejected
// Validation includes:
// - Length checks
// - Character validation
// - Pattern matching
// - Null byte detection

Cache Size Limits

Prevent memory exhaustion through cache limits:

config := &json.Config{
    EnableCache:  true,
    MaxCacheSize: 1000,           // Maximum 1000 entries
    CacheTTL:     5 * time.Minute, // 5 minute expiration
}
processor := json.New(config)
defer processor.Close()

// Cache will automatically evict old entries when full
// Uses LRU (Least Recently Used) eviction policy

Error Handling

Secure Error Messages

Error messages are sanitized to prevent information disclosure:

processor := json.New()
defer processor.Close()

_, err := processor.Get(jsonString, "user.password")
if err != nil {
    // Error messages sanitize sensitive paths
    fmt.Printf("Error: %v\n", err)
    // Output: "JSON get failed at path '[REDACTED_PATH]': ..."
}

Error Type Checking

Use error type checking for proper handling:

result, err := processor.Get(jsonString, "path")
if err != nil {
    var jsonsErr *json.JsonsError
    if errors.As(err, &jsonsErr) {
        switch {
        case errors.Is(jsonsErr.Err, json.ErrSizeLimit):
            log.Printf("Size limit exceeded: %v", err)
        case errors.Is(jsonsErr.Err, json.ErrSecurityViolation):
            log.Printf("Security violation detected: %v", err)
        case errors.Is(jsonsErr.Err, json.ErrInvalidPath):
            log.Printf("Invalid path: %v", err)
        default:
            log.Printf("Operation failed: %v", err)
        }
    }
}

Error Context

Errors include context without exposing sensitive data:

var jsonsErr *json.JsonsError
if errors.As(err, &jsonsErr) {
    fmt.Printf("Operation: %s\n", jsonsErr.Op)
    fmt.Printf("Message: %s\n", jsonsErr.Message)
    fmt.Printf("Error Code: %s\n", jsonsErr.ErrorCode)

    // Context is sanitized
    if jsonsErr.Context != nil {
        fmt.Printf("Context: %+v\n", jsonsErr.Context)
    }

    // Suggestions for fixing the error
    for _, suggestion := range jsonsErr.Suggestions {
        fmt.Printf("Suggestion: %s\n", suggestion)
    }
}

Best Practices

1. Use Appropriate Configuration

Choose the right configuration for your environment:

// Development environment
devConfig := json.DefaultConfig()
devConfig.StrictMode = false
devConfig.EnableValidation = true

// Production environment
prodConfig := json.HighSecurityConfig()
prodConfig.EnableValidation = true
prodConfig.StrictMode = true
prodConfig.EnableRateLimit = true

// High-security environment (financial, healthcare, etc.)
secureConfig := json.HighSecurityConfig()
secureConfig.MaxJSONSize = 1 * 1024 * 1024  // 1MB only
secureConfig.MaxPathDepth = 10               // Very shallow
secureConfig.MaxNestingDepthSecurity = 10    // Very restrictive

2. Validate All External Input

Always validate JSON from external sources:

// Bad: No validation
result, _ := processor.Get(untrustedJSON, "data")

// Good: With validation
processor := json.New(&json.Config{
    EnableValidation: true,
    StrictMode:       true,
})
defer processor.Close()

result, err := processor.Get(untrustedJSON, "data")
if err != nil {
    log.Printf("Validation failed: %v", err)
    return
}

3. Use Schema Validation for Critical Data

Implement schema validation for important data:

// Define strict schema for user input
userSchema := &json.Schema{
    Type: "object",
    Properties: map[string]*json.Schema{
        "username": {
            Type:      "string",
            MinLength: 3,
            MaxLength: 50,
            Pattern:   "^[a-zA-Z0-9_]+$",
        },
        "email": {
            Type:   "string",
            Format: "email",
        },
    },
    Required:             []string{"username", "email"},
    AdditionalProperties: false, // Reject unknown properties
}

// Validate before processing
errors, err := processor.ValidateSchema(userInput, userSchema)
if err != nil || len(errors) > 0 {
    // Handle validation errors
    return
}

4. Implement Rate Limiting

Protect against DoS attacks with rate limiting:

config := &json.Config{
    EnableRateLimit: true,
    RateLimitPerSec: 1000, // Max 1000 operations per second
}
processor := json.New(config)
defer processor.Close()

// Operations will be rate-limited automatically
for i := 0; i < 10000; i++ {
    result, err := processor.Get(jsonString, "data")
    if errors.Is(err, json.ErrRateLimitExceeded) {
        // Handle rate limit
        time.Sleep(time.Millisecond * 100)
        continue
    }
}

5. Use Timeouts for Operations

Set timeouts to prevent resource exhaustion:

ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
defer cancel()

// Use context for operations (if supported)
// This prevents long-running operations from blocking

6. Monitor Resource Usage

Track resource usage in production:

// Get processor statistics
stats := processor.GetStats()
fmt.Printf("Operations: %d\n", stats.OperationCount)
fmt.Printf("Cache Hit Ratio: %.2f%%\n", stats.HitRatio*100)
fmt.Printf("Error Count: %d\n", stats.ErrorCount)

// Monitor memory usage
var m runtime.MemStats
runtime.ReadMemStats(&m)
fmt.Printf("Alloc: %d MB\n", m.Alloc/1024/1024)
fmt.Printf("TotalAlloc: %d MB\n", m.TotalAlloc/1024/1024)

7. Sanitize Logs

Ensure logs don't contain sensitive information:

// Bad: Logging raw data
log.Printf("Processing: %s", jsonString)

// Good: Logging sanitized information
log.Printf("Processing JSON of size: %d bytes", len(jsonString))

// Good: Using error messages (already sanitized)
if err != nil {
    log.Printf("Operation failed: %v", err)
}

8. Close Processors Properly

Always close processors to free resources:

// Use defer to ensure cleanup
processor := json.New()
defer processor.Close()

// Or use explicit cleanup
processor := json.New()
// ... use processor ...
processor.Close()

// Check if processor is closed
_, err := processor.Get(jsonString, "data")
if errors.Is(err, json.ErrProcessorClosed) {
    log.Printf("Processor is closed")
}

9. Handle Concurrent Access Safely

Use proper synchronization for concurrent operations:

// The processor is thread-safe by default
processor := json.New()
defer processor.Close()

// Safe concurrent access
var wg sync.WaitGroup
for i := 0; i < 100; i++ {
    wg.Add(1)
    go func(id int) {
        defer wg.Done()
        result, err := processor.Get(jsonString, fmt.Sprintf("items[%d]", id))
        if err != nil {
            log.Printf("Worker %d error: %v", id, err)
        }
        // Process result...
    }(i)
}
wg.Wait()

10. Implement Defense in Depth

Use multiple layers of security:

// Layer 1: Network/Transport security (TLS, authentication)
// Layer 2: Input validation
config := json.HighSecurityConfig()
processor := json.New(config)
defer processor.Close()

// Layer 3: Schema validation
schema := defineStrictSchema()
errors, err := processor.ValidateSchema(input, schema)
if err != nil || len(errors) > 0 {
    return fmt.Errorf("validation failed")
}

// Layer 4: Business logic validation
if !isValidBusinessData(input) {
    return fmt.Errorf("business validation failed")
}

// Layer 5: Rate limiting and monitoring
if rateLimitExceeded() {
    return fmt.Errorf("rate limit exceeded")
}

// Process the data
result, err := processor.Get(input, "data")

Security Checklist

Use this checklist to ensure your implementation is secure:

Configuration

  • Use HighSecurityConfig() for production environments
  • Set appropriate MaxJSONSize limits
  • Configure MaxPathDepth and MaxNestingDepthSecurity
  • Enable EnableValidation and StrictMode
  • Configure rate limiting with EnableRateLimit
  • Set reasonable MaxConcurrency limits
  • Configure cache limits with MaxCacheSize and CacheTTL

Input Validation

  • Validate all external JSON input
  • Use schema validation for critical data
  • Check JSON size before processing
  • Validate path strings before use
  • Sanitize user-provided paths
  • Implement input sanitization at application level

File Operations

  • Validate all file paths
  • Restrict file operations to specific directories
  • Check file sizes before reading
  • Use absolute paths when possible
  • Implement file access logging
  • Set appropriate file permissions

Error Handling

  • Check all error returns
  • Use typed error checking with errors.As and errors.Is
  • Log errors appropriately (without sensitive data)
  • Implement error recovery mechanisms
  • Don't expose internal errors to users
  • Provide helpful error messages

Monitoring

  • Monitor resource usage (CPU, memory)
  • Track operation counts and error rates
  • Monitor cache hit ratios
  • Set up alerts for anomalies
  • Log security-relevant events
  • Implement health checks

Testing

  • Test with malicious inputs
  • Test with oversized payloads
  • Test with deeply nested structures
  • Test concurrent access patterns
  • Test error handling paths
  • Perform security audits regularly

Common Security Scenarios

Scenario 1: Processing User-Submitted JSON

func ProcessUserJSON(userInput string) error {
    // Use high security configuration
    config := json.HighSecurityConfig()
    config.MaxJSONSize = 1 * 1024 * 1024 // 1MB limit for user input

    processor := json.New(config)
    defer processor.Close()

    // Define strict schema
    schema := &json.Schema{
        Type: "object",
        Properties: map[string]*json.Schema{
            "name": {
                Type:      "string",
                MinLength: 1,
                MaxLength: 100,
            },
            "email": {
                Type:   "string",
                Format: "email",
            },
            "age": {
                Type:    "number",
                Minimum: 0,
                Maximum: 150,
            },
        },
        Required:             []string{"name", "email"},
        AdditionalProperties: false,
    }

    // Validate against schema
    validationErrors, err := processor.ValidateSchema(userInput, schema)
    if err != nil {
        return fmt.Errorf("validation error: %w", err)
    }
    if len(validationErrors) > 0 {
        return fmt.Errorf("invalid input: %v", validationErrors)
    }

    // Process the validated data
    name, err := processor.Get(userInput, "name")
    if err != nil {
        return fmt.Errorf("failed to get name: %w", err)
    }

    // Continue processing...
    log.Printf("Processing user: %v", name)
    return nil
}

Scenario 2: High-Volume API Processing

func ProcessAPIRequests() {
    // Configure for high volume with rate limiting
    config := &json.Config{
        MaxJSONSize:              5 * 1024 * 1024,
        MaxPathDepth:             50,
        MaxNestingDepthSecurity:  30,
        EnableValidation:         true,
        EnableCache:              true,
        MaxCacheSize:             10000,
        CacheTTL:                 10 * time.Minute,
        EnableRateLimit:          true,
        RateLimitPerSec:          5000,
        MaxConcurrency:           100,
    }

    processor := json.New(config)
    defer processor.Close()

    // Process requests with monitoring
    ticker := time.NewTicker(1 * time.Minute)
    defer ticker.Stop()

    go func() {
        for range ticker.C {
            stats := processor.GetStats()
            log.Printf("Stats - Ops: %d, Cache Hit: %.2f%%, Errors: %d",
                stats.OperationCount, stats.HitRatio*100, stats.ErrorCount)
        }
    }()

    // Handle requests...
}

Scenario 3: Processing Sensitive Data

func ProcessSensitiveData(jsonData string) error {
    // Disable caching for sensitive data
    config := json.HighSecurityConfig()
    config.EnableCache = false // Don't cache sensitive data

    processor := json.New(config)
    defer processor.Close()

    // Process without caching
    opts := &json.ProcessorOptions{
        CacheResults: false,
        StrictMode:   true,
    }

    result, err := processor.Get(jsonData, "sensitive.data", opts)
    if err != nil {
        // Don't log the actual data
        log.Printf("Failed to process sensitive data: operation failed")
        return err
    }

    // Process result securely
    // ... (ensure result is not logged or cached)

    return nil
}

Scenario 4: File-Based Configuration

func LoadSecureConfig(configPath string) (*Config, error) {
    // Validate file path
    if !isValidConfigPath(configPath) {
        return nil, fmt.Errorf("invalid config path")
    }

    processor := json.New(json.HighSecurityConfig())
    defer processor.Close()

    // Read and validate config file
    err := processor.ReadFile(configPath)
    if err != nil {
        return nil, fmt.Errorf("failed to read config: %w", err)
    }

    // Define config schema
    configSchema := &json.Schema{
        Type: "object",
        Properties: map[string]*json.Schema{
            "database": {
                Type: "object",
                Properties: map[string]*json.Schema{
                    "host": {Type: "string"},
                    "port": {Type: "number", Minimum: 1, Maximum: 65535},
                },
                Required: []string{"host", "port"},
            },
        },
        Required: []string{"database"},
    }

    // Validate config structure
    jsonStr, _ := processor.Encode(processor)
    errors, err := processor.ValidateSchema(jsonStr, configSchema)
    if err != nil || len(errors) > 0 {
        return nil, fmt.Errorf("invalid config structure")
    }

    // Parse config...
    return parseConfig(jsonStr)
}

func isValidConfigPath(path string) bool {
    // Only allow config files in specific directory
    allowedDir := "./config/"
    absPath, err := filepath.Abs(path)
    if err != nil {
        return false
    }
    allowedAbsDir, err := filepath.Abs(allowedDir)
    if err != nil {
        return false
    }
    return strings.HasPrefix(absPath, allowedAbsDir)
}

Security Considerations by Feature

Path Operations

  • Risk: Path injection attacks
  • Mitigation: Automatic path validation and sanitization
  • Best Practice: Validate user-provided paths before use

Batch Operations

  • Risk: Resource exhaustion through large batches
  • Mitigation: MaxBatchSize configuration limit
  • Best Practice: Set appropriate batch size limits

Caching

  • Risk: Information disclosure through cache
  • Mitigation: Automatic sensitive data detection
  • Best Practice: Disable caching for sensitive data

File Operations

  • Risk: Path traversal and unauthorized file access
  • Mitigation: Path validation and system directory blocking
  • Best Practice: Restrict file operations to specific directories

Concurrent Operations

  • Risk: Race conditions and resource exhaustion
  • Mitigation: Thread-safe implementation and concurrency limits
  • Best Practice: Set appropriate MaxConcurrency limits

Schema Validation

  • Risk: Accepting invalid or malicious data
  • Mitigation: Comprehensive schema validation
  • Best Practice: Define strict schemas for all external input

Vulnerability Reporting

Reporting Security Issues

If you discover a security vulnerability in this library, please report it responsibly:

  1. Do NOT open a public GitHub issue
  2. Do NOT disclose the vulnerability publicly until it has been addressed
  3. DO email security details to: [security contact email]
  4. DO provide detailed information about the vulnerability
  5. DO include steps to reproduce if possible

What to Include in Your Report

  • Description of the vulnerability
  • Affected versions
  • Steps to reproduce
  • Potential impact
  • Suggested fix (if available)
  • Your contact information

Response Timeline

  • Initial Response: Within 48 hours
  • Vulnerability Assessment: Within 1 week
  • Fix Development: Depends on severity
  • Public Disclosure: After fix is released

Security Updates

  • Security updates are released as patch versions
  • Critical vulnerabilities are addressed immediately
  • Security advisories are published on GitHub
  • Users are notified through release notes

Additional Resources

Documentation

Security Tools

Best Practices

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

🌟 Star History

If you find this project useful, please consider giving it a star! ⭐

Made with ❤️ by the CyberGoDev team

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