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档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: wycheproof
description: > Wycheproof is an extensive collection of test vectors designed to verify the correctness of cr…
category: 通用
runtime: Python
---
# wycheproof 输出预览
## PART A: 任务判断
- 适用问题:通用任务拆解、检查和交付。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Background / Key Concepts / Why This Matters”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于通用任务拆解、检查和交付,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Background / Key Concepts / Why This Matters”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、执行终端命令、会按任务需要访问外部网络、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件、执行终端命令;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件、执行终端命令。
先用一个小任务确认它会围绕“Background / Key Concepts / Why This Matters”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: wycheproof
description: > Wycheproof is an extensive collection of test vectors designed to verify the correctness of cr…
category: 通用
source: trailofbits/skills
---
# wycheproof
## 什么时候使用
- 用于组织测试、定位失败并形成修复闭环 适合处理通用任务拆解、检查、交付和复盘,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤;通常不需要额外 API Key…
- 面向通用任务拆解、检查和交付,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Background / Key Concepts / Why This Matters」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件、执行终端命令;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "wycheproof" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Background / Key Concepts / Why This Matters
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Python | 读取文件、写入/修改文件、执行终端命令 | 会按任务需要访问外部网络
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} 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:
┣ 📜 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:
"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
notesfield) - 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:
git submodule add https://github.com/C2SP/wycheproof.git
Option 2: Fetch Specific Test Vectors
If submodules aren't possible, fetch specific JSON files:
#!/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:
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:
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'] = testGroup.publicKey.pk;
tests.push(test);
});
});
} catch (err) {
console.error('Error reading or parsing file:', err);
throw err;
}
return tests;
}
Phase 3: Write Testing Harness
Create test functions that handle both valid and invalid test cases.
Python/pytest Example:
import pytest
from cryptography.hazmat.primitives.ciphers.aead import AESGCM
tvs = load_wycheproof_test_vectors("wycheproof/testvectors_v1/aes_gcm_test.json")
@pytest.mark.parametrize("tv", tvs, ids=[str(tv['tcId']) for tv in tvs])
def test_encryption(tv):
try:
aesgcm = AESGCM(tv['key'])
ct = aesgcm.encrypt(tv['iv'], tv['msg'], tv['aad'])
except ValueError as e:
# Implementation raised error - verify test was expected to fail
assert tv['result'] != 'valid', tv['comment']
return
if tv['result'] == 'valid':
assert ct[:-16] == tv['ct'], f"Ciphertext mismatch: {tv['comment']}"
assert ct[-16:] == tv['tag'], f"Tag mismatch: {tv['comment']}"
elif tv['result'] == 'invalid' or tv['result'] == 'acceptable':
assert ct[:-16] != tv['ct'] or ct[-16:] != tv['tag']
@pytest.mark.parametrize("tv", tvs, ids=[str(tv['tcId']) for tv in tvs])
def test_decryption(tv):
try:
aesgcm = AESGCM(tv['key'])
decrypted_msg = aesgcm.decrypt(tv['iv'], tv['ct'] + tv['tag'], tv['aad'])
except ValueError:
assert tv['result'] != 'valid', tv['comment']
return
except InvalidTag:
assert tv['result'] != 'valid', tv['comment']
assert 'ModifiedTag' in tv['flags'], f"Expected 'ModifiedTag' flag: {tv['comment']}"
return
assert tv['result'] == 'valid', f"No invalid test case should pass: {tv['comment']}"
assert decrypted_msg == tv['msg'], f"Decryption mismatch: {tv['comment']}"
JavaScript/Mocha Example:
const assert = require('assert');
function testFactory(tcId, tests) {
it(`[${tcId + 1}] ${tests[tcId].comment}`, function () {
const test = tests[tcId];
const ed25519 = new eddsa('ed25519');
const key = ed25519.keyFromPublic(toArray(test.pk, 'hex'));
let sig;
if (test.result === 'valid') {
sig = key.verify(test.msg, test.sig);
assert.equal(sig, true, `[${test.tcId}] ${test.comment}`);
} else if (test.result === 'invalid') {
try {
sig = key.verify(test.msg, test.sig);
} catch (err) {
// Point could not be decoded
sig = false;
}
assert.equal(sig, false, `[${test.tcId}] ${test.comment}`);
}
});
}
// Generate tests for all test vectors
for (var tcId = 0; tcId < tests.length; tcId++) {
testFactory(tcId, tests);
}
Phase 4: CI Integration
Ensure test vectors stay up to date by:
- Using git submodules: Update submodule in CI before running tests
- Fetching latest vectors: Run fetch script before test execution
- Scheduled updates: Set up weekly/monthly updates to catch new test vectors
Common Vulnerabilities Detected
Wycheproof test vectors are designed to catch specific vulnerability patterns:
| Vulnerability | Description | Affected Algorithms | Example CVE |
|---|---|---|---|
| Signature malleability | Multiple valid signatures for same message | ECDSA, EdDSA | CVE-2024-42459 |
| Invalid DER encoding | Accepting non-canonical DER signatures | ECDSA | CVE-2024-42460, CVE-2024-42461 |
| Invalid curve attacks | ECDH with invalid curve points | ECDH | Common in many libraries |
| Padding oracle | Timing leaks in padding validation | RSA-PKCS1 | Historical OpenSSL issues |
| Tag forgery | Accepting modified authentication tags | AES-GCM, ChaCha20-Poly1305 | Various implementations |
Signature Malleability: Deep Dive
Problem: Implementations that don't validate signature encoding can accept multiple valid signatures for the same message.
Example (EdDSA): Appending or removing zeros from signature:
Valid signature: ...6a5c51eb6f946b30d
Invalid signature: ...6a5c51eb6f946b30d0000 (should be rejected)
How to detect:
# Add signature length check
if len(sig) != 128: # EdDSA signatures must be exactly 64 bytes (128 hex chars)
return False
Impact: Can lead to consensus problems when different implementations accept/reject the same signatures.
Related Wycheproof tests:
- EdDSA: tcId 37 - "removing 0 byte from signature"
- ECDSA: tcId 06 - "Legacy: ASN encoding of r misses leading 0"
Case Study: Elliptic npm Package
This case study demonstrates how Wycheproof found three CVEs in the popular elliptic npm package (3000+ dependents, millions of weekly downloads).
Overview
The elliptic library is an elliptic-curve cryptography library written in JavaScript, supporting ECDH, ECDSA, and EdDSA. Using Wycheproof test vectors on version 6.5.6 revealed multiple vulnerabilities:
- CVE-2024-42459: EdDSA signature malleability (appending/removing zeros)
- CVE-2024-42460: ECDSA DER encoding - invalid bit placement
- CVE-2024-42461: ECDSA DER encoding - leading zero in length field
Methodology
- Identify supported curves: ed25519 for EdDSA
- Find test vectors:
testvectors_v1/ed25519_test.json - Parse test vectors: Load JSON and extract tests
- Write test harness: Create parameterized tests
- Run tests: Identify failures
- Analyze root causes: Examine implementation code
- Propose fixes: Add validation checks
Key Findings
EdDSA Issue (CVE-2024-42459):
- Missing signature length validation
- Allowed trailing zeros in signatures
- Fix: Add
if(sig.length !== 128) return false;
ECDSA Issue 1 (CVE-2024-42460):
- Missing check for first bit being zero in DER-encoded r and s values
- Fix: Add
if ((data[p.place] & 128) !== 0) return false;
ECDSA Issue 2 (CVE-2024-42461):
- DER length field accepted leading zeros
- Fix: Add
if(buf[p.place] === 0x00) return false;
Impact
All three vulnerabilities allowed multiple valid signatures for a single message, leading to consensus problems across implementations.
Lessons learned:
- Wycheproof catches subtle encoding bugs
- Reusable test harnesses pay dividends
- Test vector comments and flags help diagnose issues
- Even popular libraries benefit from systematic test vector validation
Advanced Usage
Tips and Tricks
| Tip | Why It Helps |
|---|---|
| Filter test groups by parameters | Focus on test vectors relevant to your implementation constraints |
| Use test vector flags | Understand specific vulnerability patterns being tested |
Check the notes field |
Get detailed explanations of flag meanings |
| Test both encrypt/decrypt and sign/verify | Ensure bidirectional correctness |
| Run tests in CI | Catch regressions and benefit from new test vectors |
| Use parameterized tests | Get clear failure messages with tcId and comment |
Common Mistakes
| Mistake | Why It's Wrong | Correct Approach |
|---|---|---|
| Only testing valid cases | Misses vulnerabilities where invalid inputs are accepted | Test all result types: valid, invalid, acceptable |
| Ignoring "acceptable" result | Implementation might have subtle bugs | Treat acceptable as warnings worth investigating |
| Not filtering test groups | Wastes time on unsupported parameters | Filter by keySize, ivSize, etc. based on your implementation |
| Not updating test vectors | Miss new vulnerability patterns | Use submodules or scheduled fetches |
| Testing only one direction | Encrypt/sign might work but decrypt/verify fails | Test both operations |
Related Skills
Tool Skills
| Skill | Primary Use in Wycheproof Testing |
|---|---|
| pytest | Python testing framework for parameterized tests |
| mocha | JavaScript testing framework for test generation |
| constant-time-testing | Complement Wycheproof with timing side-channel testing |
| cryptofuzz | Fuzz-based crypto testing to find additional bugs |
Technique Skills
| Skill | When to Apply |
|---|---|
| coverage-analysis | Ensure test vectors cover all code paths in crypto implementation |
| property-based-testing | Test mathematical properties (e.g., encrypt/decrypt round-trip) |
| fuzz-harness-writing | Create harnesses for crypto parsers (complements Wycheproof) |
Related Domain Skills
| Skill | Relationship |
|---|---|
| crypto-testing | Wycheproof is a key tool in comprehensive crypto testing methodology |
| fuzzing | Use fuzzing to find bugs Wycheproof doesn't cover (new edge cases) |
Skill Dependency Map
┌─────────────────────┐
│ wycheproof │
│ (this skill) │
└──────────┬──────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ pytest/mocha │ │ constant-time │ │ cryptofuzz │
│ (test framework)│ │ testing │ │ (fuzzing) │
└────────┬────────┘ └────────┬────────┘ └────────┬────────┘
│ │ │
└───────────────────┼───────────────────┘
│
▼
┌──────────────────────────┐
│ Technique Skills │
│ coverage, harness, PBT │
└──────────────────────────┘
Resources
Official Repository
The official repository contains:
- All test vectors in
testvectors/andtestvectors_v1/ - JSON schemas in
schemas/ - Reference implementations in Java and JavaScript
- Documentation in
doc/
Real-World Examples
The pycryptodome library integrates Wycheproof test vectors in their test suite, demonstrating best practices for Python crypto implementations.
Community Resources
- C2SP Community - Cryptographic specifications and standards community maintaining Wycheproof
- Wycheproof issues tracker - Report bugs in test vectors or suggest new constructions
Summary
Wycheproof is an essential tool for validating cryptographic implementations against known attack vectors and edge cases. By integrating Wycheproof test vectors into your testing workflow:
- Catch subtle encoding and validation bugs
- Prevent signature malleability issues
- Ensure consistent behavior across implementations
- Benefit from community-contributed test vectors
- Protect against known cryptographic vulnerabilities
The investment in writing a reusable testing harness pays dividends through continuous validation as new test vectors are added to the Wycheproof repository.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核