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wycheproof

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Wycheproof provides test vectors for validating cryptographic implementations. Use when testing crypto code for known attacks and edge cases.

Code Review

What this skill does


# Wycheproof

Wycheproof is an extensive collection of test vectors designed to verify the correctness of cryptographic implementations and test against known attacks. Originally developed by Google, it is now a community-managed project where contributors can add test vectors for specific cryptographic constructions.

## Background

### Key Concepts

| Concept | Description |
|---------|-------------|
| Test vector | Input/output pair for validating crypto implementation correctness |
| Test group | Collection of test vectors sharing attributes (key size, IV size, curve) |
| Result flag | Indicates if test should pass (valid), fail (invalid), or is acceptable |
| Edge case testing | Testing for known vulnerabilities and attack patterns |

### Why This Matters

Cryptographic implementations are notoriously difficult to get right. Even small bugs can:
- Expose private keys
- Allow signature forgery
- Enable message decryption
- Create consensus problems when different implementations accept/reject the same inputs

Wycheproof has found vulnerabilities in major libraries including OpenJDK's SHA1withDSA, Bouncy Castle's ECDHC, and the elliptic npm package.

## When to Use

**Apply Wycheproof when:**
- Testing cryptographic implementations (AES-GCM, ECDSA, ECDH, RSA, etc.)
- Validating that crypto code handles edge cases correctly
- Verifying implementations against known attack vectors
- Setting up CI/CD for cryptographic libraries
- Auditing third-party crypto code for correctness

**Consider alternatives when:**
- Testing for timing side-channels (use constant-time testing tools instead)
- Finding new unknown bugs (use fuzzing instead)
- Testing custom/experimental cryptographic algorithms (Wycheproof only covers established algorithms)

## Quick Reference

| Scenario | Recommended Approach | Notes |
|----------|---------------------|-------|
| AES-GCM implementation | Use `aes_gcm_test.json` | 316 test vectors across 44 test groups |
| ECDSA verification | Use `ecdsa_*_test.json` for specific curves | Tests signature malleability, DER encoding |
| ECDH key exchange | Use `ecdh_*_test.json` | Tests invalid curve attacks |
| RSA signatures | Use `rsa_*_test.json` | Tests padding oracle attacks |
| ChaCha20-Poly1305 | Use `chacha20_poly1305_test.json` | Tests AEAD implementation |

## Testing Workflow

```
Phase 1: Setup                 Phase 2: Parse Test Vectors
┌─────────────────┐          ┌─────────────────┐
│ Add Wycheproof  │    →     │ Load JSON file  │
│ as submodule    │          │ Filter by params│
└─────────────────┘          └─────────────────┘
         ↓                            ↓
Phase 4: CI Integration        Phase 3: Write Harness
┌─────────────────┐          ┌─────────────────┐
│ Auto-update     │    ←     │ Test valid &    │
│ test vectors    │          │ invalid cases   │
└─────────────────┘          └─────────────────┘
```

## Repository Structure

The Wycheproof repository is organized as follows:

```text
┣ 📜 README.md       : Project overview
┣ 📂 doc             : Documentation
┣ 📂 java            : Java JCE interface testing harness
┣ 📂 javascript      : JavaScript testing harness
┣ 📂 schemas         : Test vector schemas
┣ 📂 testvectors     : Test vectors
┗ 📂 testvectors_v1  : Updated test vectors (more detailed)
```

The essential folders are `testvectors` and `testvectors_v1`. While both contain similar files, `testvectors_v1` includes more detailed information and is recommended for new integrations.

## Supported Algorithms

Wycheproof provides test vectors for a wide range of cryptographic algorithms:

| Category | Algorithms |
|----------|------------|
| **Symmetric Encryption** | AES-GCM, AES-EAX, ChaCha20-Poly1305 |
| **Signatures** | ECDSA, EdDSA, RSA-PSS, RSA-PKCS1 |
| **Key Exchange** | ECDH, X25519, X448 |
| **Hashing** | HMAC, HKDF |
| **Curves** | secp256k1, secp256r1, secp384r1, secp521r1, ed25519, ed448 |

## Test File Structure

Each JSON test file tests a specific cryptographic construction. All test files share common attributes:

```json
"algorithm"         : The name of the algorithm tested
"schema"            : The JSON schema (found in schemas folder)
"generatorVersion"  : The version number
"numberOfTests"     : The total number of test vectors in this file
"header"            : Detailed description of test vectors
"notes"             : In-depth explanation of flags in test vectors
"testGroups"        : Array of one or multiple test groups
```

### Test Groups

Test groups group sets of tests based on shared attributes such as:
- Key sizes
- IV sizes
- Public keys
- Curves

This classification allows extracting tests that meet specific criteria relevant to the construction being tested.

### Test Vector Attributes

#### Shared Attributes

All test vectors contain four common fields:

- **tcId**: Unique identifier for the test vector within a file
- **comment**: Additional information about the test case
- **flags**: Descriptions of specific test case types and potential dangers (referenced in `notes` field)
- **result**: Expected outcome of the test

The `result` field can take three values:

| Result | Meaning |
|--------|---------|
| **valid** | Test case should succeed |
| **acceptable** | Test case is allowed to succeed but contains non-ideal attributes |
| **invalid** | Test case should fail |

#### Unique Attributes

Unique attributes are specific to the algorithm being tested:

| Algorithm | Unique Attributes |
|-----------|-------------------|
| AES-GCM | `key`, `iv`, `aad`, `msg`, `ct`, `tag` |
| ECDH secp256k1 | `public`, `private`, `shared` |
| ECDSA | `msg`, `sig`, `result` |
| EdDSA | `msg`, `sig`, `pk` |

## Implementation Guide

### Phase 1: Add Wycheproof to Your Project

**Option 1: Git Submodule (Recommended)**

Adding Wycheproof as a git submodule ensures automatic updates:

```bash
git submodule add https://github.com/C2SP/wycheproof.git
```

**Option 2: Fetch Specific Test Vectors**

If submodules aren't possible, fetch specific JSON files:

```bash
#!/bin/bash

TMP_WYCHEPROOF_FOLDER=".wycheproof/"
TEST_VECTORS=('aes_gcm_test.json' 'aes_eax_test.json')
BASE_URL="https://raw.githubusercontent.com/C2SP/wycheproof/master/testvectors_v1/"

# Create wycheproof folder
mkdir -p $TMP_WYCHEPROOF_FOLDER

# Request all test vector files if they don't exist
for i in "${TEST_VECTORS[@]}"; do
  if [ ! -f "${TMP_WYCHEPROOF_FOLDER}${i}" ]; then
    curl -o "${TMP_WYCHEPROOF_FOLDER}${i}" "${BASE_URL}${i}"
    if [ $? -ne 0 ]; then
      echo "Failed to download ${i}"
      exit 1
    fi
  fi
done
```

### Phase 2: Parse Test Vectors

Identify the test file for your algorithm and parse the JSON:

**Python Example:**

```python
import json

def load_wycheproof_test_vectors(path: str):
    testVectors = []
    try:
        with open(path, "r") as f:
            wycheproof_json = json.loads(f.read())
    except FileNotFoundError:
        print(f"No Wycheproof file found at: {path}")
        return testVectors

    # Attributes that need hex-to-bytes conversion
    convert_attr = {"key", "aad", "iv", "msg", "ct", "tag"}

    for testGroup in wycheproof_json["testGroups"]:
        # Filter test groups based on implementation constraints
        if testGroup["ivSize"] < 64 or testGroup["ivSize"] > 1024:
            continue

        for tv in testGroup["tests"]:
            # Convert hex strings to bytes
            for attr in convert_attr:
                if attr in tv:
                    tv[attr] = bytes.fromhex(tv[attr])
            testVectors.append(tv)

    return testVectors
```

**JavaScript Example:**

```javascript
const fs = require('fs').promises;

async function loadWycheproofTestVectors(path) {
  const tests = [];

  try {
    const fileContent = await fs.readFile(path);
    const data = JSON.parse(fileContent.toString());

    data.testGroups.forEach(testGroup => {
      testGroup.tests.forEach(test => {
        // Add shared test group properties to each test
        test['pk'] =
Files: 1
Size: 19.9 KB
Complexity: 28/100
Category: Code Review

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