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Wycheproof

Trail of BitsOfficialPublished by Trail of Bits

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  • Tool integration
  • Security
  • CC-BY-SA-4.0
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From the author

Validates cryptographic implementations against Project Wycheproof's test vectors, which encode known attacks and edge cases across AES, RSA, ECDSA, ECDH, and more. Covers loading test vectors, mapping result flags onto pass and fail expectations, and reading a failure. Use when testing a crypto implementation against known attacks, checking a library against standard test vectors, or investigating why two implementations disagree on the same input.
— the description by Trail of Bits

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Wycheproof is a community-managed project providing extensive test vectors to verify the correctness of cryptographic implementations. It covers a wide range of algorithms, including AES-GCM, ECDSA, ECDH, and RSA, by providing input/output pairs that encode known vulnerabilities and edge cases. By integrating these vectors into a testing harness, developers can ensure their implementations handle invalid inputs, signature malleability, and other common cryptographic flaws correctly, preventing consensus issues and security vulnerabilities.

What it does

  • Provides standardized test vectors for symmetric encryption, signatures, key exchange, and hashing.
  • Defines expected outcomes (valid, invalid, or acceptable) for specific cryptographic inputs.
  • Supports integration via git submodules or direct fetching of JSON test files.
  • Enables automated validation of cryptographic libraries against known attack patterns.
  • Categorizes tests into groups based on parameters like key size, IV size, and elliptic curves.

When to use it

  • When testing the correctness of cryptographic implementations like AES-GCM or ECDSA.
  • When auditing third-party cryptographic code for potential vulnerabilities.
  • When setting up CI/CD pipelines to prevent regressions in cryptographic libraries.
  • When investigating discrepancies between different implementations handling the same input.

Advantages

  • Reduces the risk of common vulnerabilities like signature malleability and padding oracles.
  • Leverages community-maintained test vectors that evolve with new security findings.
  • Facilitates consistent behavior across different cryptographic implementations.
  • Provides clear, structured test data that simplifies the creation of test harnesses.

Usage examples

“How do I integrate Wycheproof test vectors into my Python project?”
The skill provides a guide to adding the repository as a git submodule and using a Python function to parse JSON test vectors, filter them by parameters, and execute them via pytest.
“What kind of vulnerabilities can Wycheproof help me detect?”
It helps detect issues such as signature malleability, invalid DER encoding, invalid curve attacks, padding oracles, and tag forgery.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/trailofbits/wycheproof/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip wycheproof.zip -d .agents/skills

Documentation by Trail of Bits

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
ConceptDescription
Test vectorInput/output pair for validating crypto implementation correctness
Test groupCollection of test vectors sharing attributes (key size, IV size, curve)
Result flagIndicates if test should pass (valid), fail (invalid), or is acceptable
Edge case testingTesting 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

ScenarioRecommended ApproachNotes
AES-GCM implementationUse aes_gcm_test.json316 test vectors across 44 test groups
ECDSA verificationUse ecdsa_*_test.json for specific curvesTests signature malleability, DER encoding
ECDH key exchangeUse ecdh_*_test.jsonTests invalid curve attacks
RSA signaturesUse rsa_*_test.jsonTests padding oracle attacks
ChaCha20-Poly1305Use chacha20_poly1305_test.jsonTests 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:

CategoryAlgorithms
Symmetric EncryptionAES-GCM, AES-EAX, ChaCha20-Poly1305
SignaturesECDSA, EdDSA, RSA-PSS, RSA-PKCS1
Key ExchangeECDH, X25519, X448
HashingHMAC, HKDF
Curvessecp256k1, 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 notes field)

  • result: Expected outcome of the test

The result field can take three values:

ResultMeaning
validTest case should succeed
acceptableTest case is allowed to succeed but contains non-ideal attributes
invalidTest case should fail
Unique Attributes

Unique attributes are specific to the algorithm being tested:

AlgorithmUnique Attributes
AES-GCMkey, iv, aad, msg, ct, tag
ECDH secp256k1public, private, shared
ECDSAmsg, sig, result
EdDSAmsg, 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:

  1. Using git submodules: Update submodule in CI before running tests

  2. Fetching latest vectors: Run fetch script before test execution

  3. 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:

VulnerabilityDescriptionAffected AlgorithmsExample CVE
Signature malleabilityMultiple valid signatures for same messageECDSA, EdDSACVE-2024-42459
Invalid DER encodingAccepting non-canonical DER signaturesECDSACVE-2024-42460, CVE-2024-42461
Invalid curve attacksECDH with invalid curve pointsECDHCommon in many libraries
Padding oracleTiming leaks in padding validationRSA-PKCS1Historical OpenSSL issues
Tag forgeryAccepting modified authentication tagsAES-GCM, ChaCha20-Poly1305Various 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
  1. Identify supported curves: ed25519 for EdDSA

  2. Find test vectors: testvectors_v1/ed25519_test.json

  3. Parse test vectors: Load JSON and extract tests

  4. Write test harness: Create parameterized tests

  5. Run tests: Identify failures

  6. Analyze root causes: Examine implementation code

  7. 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
TipWhy It Helps
Filter test groups by parametersFocus on test vectors relevant to your implementation constraints
Use test vector flagsUnderstand specific vulnerability patterns being tested
Check the notes fieldGet detailed explanations of flag meanings
Test both encrypt/decrypt and sign/verifyEnsure bidirectional correctness
Run tests in CICatch regressions and benefit from new test vectors
Use parameterized testsGet clear failure messages with tcId and comment
Common Mistakes
MistakeWhy It's WrongCorrect Approach
Only testing valid casesMisses vulnerabilities where invalid inputs are acceptedTest all result types: valid, invalid, acceptable
Ignoring "acceptable" resultImplementation might have subtle bugsTreat acceptable as warnings worth investigating
Not filtering test groupsWastes time on unsupported parametersFilter by keySize, ivSize, etc. based on your implementation
Not updating test vectorsMiss new vulnerability patternsUse submodules or scheduled fetches
Testing only one directionEncrypt/sign might work but decrypt/verify failsTest both operations
Tool Skills
SkillPrimary Use in Wycheproof Testing
pytestPython testing framework for parameterized tests
mochaJavaScript testing framework for test generation
constant-time-testingComplement Wycheproof with timing side-channel testing
cryptofuzzFuzz-based crypto testing to find additional bugs
Technique Skills
SkillWhen to Apply
coverage-analysisEnsure test vectors cover all code paths in crypto implementation
property-based-testingTest mathematical properties (e.g., encrypt/decrypt round-trip)
fuzz-harness-writingCreate harnesses for crypto parsers (complements Wycheproof)
SkillRelationship
crypto-testingWycheproof is a key tool in comprehensive crypto testing methodology
fuzzingUse 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

Wycheproof GitHub Repository

The official repository contains:

  • All test vectors in testvectors/ and testvectors_v1/

  • JSON schemas in schemas/

  • Reference implementations in Java and JavaScript

  • Documentation in doc/

Real-World Examples

pycryptodome

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:

  1. Catch subtle encoding and validation bugs

  2. Prevent signature malleability issues

  3. Ensure consistent behavior across implementations

  4. Benefit from community-contributed test vectors

  5. 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.

Files

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Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs a command-line tool, Needs Python

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Trail of Bits
Publisher
Trail of Bits (Official)
Source
trailofbits/skills · plugins/testing-handbook-skills/skills/wycheproof · commit e4dd0bb
Licence
Creative Commons Attribution-ShareAlike 4.0 International (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Trail of Bits or Trail of Bits.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download wycheproof.zip