Examples

This section provides a comprehensive collection of CVSS Skills examples, covering various use cases from basic usage to advanced functionality.

Examples Overview

🚀 Getting Started Examples

• Basic Usage - Simplest parsing and calculation examples
• Vector Parsing - Parsing vectors in various formats

📊 Feature Examples

• JSON Output - JSON serialization and deserialization
• Temporal Metrics - Using and impact of temporal metrics
• Environmental Metrics - Configuration and calculation of environmental metrics

🔍 Analysis Examples

• Distance Calculation - Vector distance and similarity analysis
• Vector Comparison - Multiple comparison methods
• Severity Levels - Severity rating and classification

🛠️ Advanced Examples

• Edge Cases - Error handling and edge cases

Quick Start

If you're new to CVSS Skills, we recommend learning in the following order:

1. Basic Usage - Understand basic parsing and calculation workflow
2. Vector Parsing - Learn how to parse vectors in different formats
3. JSON Output - Master data serialization and storage
4. Distance Calculation - Explore vector analysis capabilities
5. Advanced Examples - Handle complex scenarios

Example Categories

Basic Operations

Vector Parsing

// Parse a basic CVSS vector
vector, err := parser.ParseString("CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H")
if err != nil {
    log.Fatal(err)
}

Score Calculation

// Calculate CVSS score
calculator := cvss.NewCalculator(vector)
score, err := calculator.Calculate()
if err != nil {
    log.Fatal(err)
}

severity := calculator.GetSeverityRating(score)
fmt.Printf("Score: %.1f (%s)\n", score, severity)

Data Processing

JSON Serialization

// Convert to JSON
jsonData, err := json.MarshalIndent(vector, "", "  ")
if err != nil {
    log.Fatal(err)
}
fmt.Println(string(jsonData))

Batch Processing

// Process multiple vectors
vectors := []string{
    "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
    "CVSS:3.1/AV:L/AC:H/PR:H/UI:R/S:U/C:L/I:L/A:L",
}

for _, vectorStr := range vectors {
    vector, err := parser.ParseString(vectorStr)
    if err != nil {
        fmt.Printf("Error parsing %s: %v\n", vectorStr, err)
        continue
    }
    
    calculator := cvss.NewCalculator(vector)
    score, _ := calculator.Calculate()
    severity := calculator.GetSeverityRating(score)
    
    fmt.Printf("%s -> %.1f (%s)\n", vectorStr, score, severity)
}

Advanced Analysis

Vector Distance Calculation

// Calculate distance between vectors
calc := cvss.NewDistanceCalculator(vector1, vector2)
distance := calc.EuclideanDistance()
similarity := calc.JaccardSimilarity()

fmt.Printf("Distance: %.3f\n", distance)
fmt.Printf("Similarity: %.3f\n", similarity)

Vector Clustering

// Group similar vectors
func clusterVectors(vectors []*cvss.Cvss3x, threshold float64) [][]int {
    var clusters [][]int
    used := make([]bool, len(vectors))
    
    for i, vector1 := range vectors {
        if used[i] {
            continue
        }
        
        cluster := []int{i}
        used[i] = true
        
        for j, vector2 := range vectors {
            if i == j || used[j] {
                continue
            }
            
            calc := cvss.NewDistanceCalculator(vector1, vector2)
            distance := calc.EuclideanDistance()
            
            if distance <= threshold {
                cluster = append(cluster, j)
                used[j] = true
            }
        }
        
        clusters = append(clusters, cluster)
    }
    
    return clusters
}

Error Handling Examples

Robust Parsing

func safeParseVector(vectorStr string) (*cvss.Cvss3x, error) {
    // Input validation
    if vectorStr == "" {
        return nil, fmt.Errorf("vector string cannot be empty")
    }
    
    if !strings.HasPrefix(vectorStr, "CVSS:") {
        return nil, fmt.Errorf("invalid vector format")
    }
    
    // Parse with error handling
    vector, err := parser.ParseString(vectorStr)
    if err != nil {
        return nil, fmt.Errorf("parse failed: %w", err)
    }

    // Validation (Check returns the first missing/invalid metric)
    if err := vector.Check(); err != nil {
        return nil, fmt.Errorf("parsed vector is invalid: %w", err)
    }
    
    return vector, nil
}

Error Recovery

func parseWithFallback(vectorStr string) (*cvss.Cvss3x, error) {
    // Try strict parsing first (ParseString enforces the CVSS: prefix
    // and rejects unknown metrics/values)
    vector, err := parser.ParseString(vectorStr)
    if err == nil {
        return vector, nil
    }

    // Fall back to relaxed parsing: accepts inputs without the CVSS:3.x/
    // prefix and fills in the requested default version
    return parser.ParseRelaxed(vectorStr, "3.1")
}

Performance Examples

Concurrent Processing

func processVectorsConcurrently(vectors []string) []Result {
    results := make([]Result, len(vectors))
    var wg sync.WaitGroup
    
    for i, vectorStr := range vectors {
        wg.Add(1)
        go func(index int, vector string) {
            defer wg.Done()
            
            cvssVector, err := parser.ParseString(vector)
            if err != nil {
                results[index] = Result{Error: err}
                return
            }

            calculator := cvss.NewCalculator(cvssVector)
            score, err := calculator.Calculate()
            if err != nil {
                results[index] = Result{Error: err}
                return
            }

            results[index] = Result{
                Vector:   cvssVector,
                Score:    score,
                Severity: calculator.GetSeverityRating(score).String(),
            }
        }(i, vectorStr)
    }
    
    wg.Wait()
    return results
}

type Result struct {
    Vector   *cvss.Cvss3x
    Score    float64
    Severity string
    Error    error
}

Memory Optimization

// Cvss3xParser binds its input string at construction and cannot be
// rebound, so an object pool gains nothing. Just call ParseString per
// input — each call constructs a fresh, cheap parser.
func parsePerCall(vectorStr string) (*cvss.Cvss3x, error) {
    return parser.ParseString(vectorStr)
}

Integration Examples

HTTP API

func handleCVSSAnalysis(w http.ResponseWriter, r *http.Request) {
    var request struct {
        Vectors []string `json:"vectors"`
    }
    
    if err := json.NewDecoder(r.Body).Decode(&request); err != nil {
        http.Error(w, "Invalid JSON", http.StatusBadRequest)
        return
    }
    
    var results []map[string]interface{}
    
    for _, vectorStr := range request.Vectors {
        result := map[string]interface{}{
            "vector": vectorStr,
        }
        
        vector, err := safeParseVector(vectorStr)
        if err != nil {
            result["error"] = err.Error()
            results = append(results, result)
            continue
        }
        
        calculator := cvss.NewCalculator(vector)
        score, _ := calculator.Calculate()
        
        result["score"] = score
        result["severity"] = calculator.GetSeverityRating(score)
        result["parsed"] = vector
        
        results = append(results, result)
    }
    
    w.Header().Set("Content-Type", "application/json")
    json.NewEncoder(w).Encode(map[string]interface{}{
        "results": results,
    })
}

Database Storage

func saveVectorToDB(db *sql.DB, vectorStr string) error {
    vector, err := safeParseVector(vectorStr)
    if err != nil {
        return err
    }
    
    calculator := cvss.NewCalculator(vector)
    score, err := calculator.Calculate()
    if err != nil {
        return err
    }
    
    jsonData, err := json.Marshal(vector)
    if err != nil {
        return err
    }
    
    query := `
        INSERT INTO cvss_vectors (vector_string, score, severity, json_data, created_at) 
        VALUES (?, ?, ?, ?, ?)
    `
    
    _, err = db.Exec(query, 
        vectorStr, 
        score, 
        calculator.GetSeverityRating(score),
        string(jsonData), 
        time.Now(),
    )
    
    return err
}

Testing Examples

Unit Testing

func TestVectorParsing(t *testing.T) {
    testCases := []struct {
        name     string
        vector   string
        expected float64
        hasError bool
    }{
        {
            name:     "High severity vector",
            vector:   "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            expected: 9.8,
            hasError: false,
        },
        {
            name:     "Low severity vector",
            vector:   "CVSS:3.1/AV:L/AC:H/PR:H/UI:R/S:U/C:L/I:L/A:L",
            expected: 2.9,
            hasError: false,
        },
        {
            name:     "Invalid vector",
            vector:   "INVALID",
            expected: 0,
            hasError: true,
        },
    }
    
    for _, tc := range testCases {
        t.Run(tc.name, func(t *testing.T) {
            vector, err := safeParseVector(tc.vector)
            
            if tc.hasError {
                assert.Error(t, err)
                return
            }
            
            assert.NoError(t, err)
            assert.NotNil(t, vector)
            
            calculator := cvss.NewCalculator(vector)
            score, err := calculator.Calculate()
            assert.NoError(t, err)
            assert.InDelta(t, tc.expected, score, 0.1)
        })
    }
}

Next Steps

After exploring these examples, you can:

1. Read the API Documentation for detailed interface specifications
2. Check the GitHub Repository for the latest updates
3. Contribute by submitting issues or pull requests
4. Join the Community for discussions and support

Getting Help

If you need help with any of these examples:

• Check the API Documentation for detailed method descriptions
• Browse the GitHub Issues for common problems
• Submit a new issue if you find a bug or need a feature
• Join our Community Discussions for general questions