dcrypt 2.0.0

Rust APIs for classical, post-quantum, and hybrid cryptographic primitives
Documentation
dcrypt-2.0.0 has been yanked.

dcrypt: A Cryptographic Library in Rust

Crates.io Docs.rs License Security validation

[!WARNING] v1.2.3 is confirmed to contain serious security defects. Earlier releases have not been cleared. v2.0.0 is the first remediated release, but has not completed an independent post-remediation audit or FIPS validation. See SECURITY.md before evaluating or migrating this project.

dcrypt (Decentralized Cryptography) is a Rust workspace for classical, post-quantum, and hybrid cryptographic APIs. Security-sensitive standard algorithms are being moved to reviewed ecosystem implementations and checked against independent known-answer tests. Rust and the absence of FFI in most paths reduce some implementation risks, but do not by themselves establish memory safety, side-channel resistance, or suitability for production.

🚀 Novel Capabilities

dcrypt introduces capabilities critical for the transition to quantum-safe and decentralized computing:

  1. Pure-Rust FIPS 204 (ML-DSA): Final-standard ML-DSA-44, ML-DSA-65, and ML-DSA-87 use libcrux's portable backend, with exact encodings and formally verified arithmetic/NTT/serialization components. The public wrapper exposes randomized pure ML-DSA with empty context; backend-level tests cover the broader official ACVP interfaces and expected results, using a separate test-only implementation for supplied mu. This is not a claim that dcrypt as a whole is formally verified, audited, or FIPS validated.
  2. FIPS 203 / ML-KEM API: ML-KEM parameter sets are available for testing and integration; this project is not a FIPS-validated cryptographic module.
  3. Native Hybrid Cryptography: First-class support for hybrid Key Encapsulation Mechanisms (e.g., ECDH P-256 + Kyber-768) and hybrid Digital Signatures, designed to combine independent primitive families.
  4. BLS12-381 Pairing Engine: A fully featured implementation of the pairing-friendly curve, including optimal Ate pairings and IETF-compliant Hash-to-Curve, essential for Zero-Knowledge Proofs and Signature Aggregation.

🛡️ Key Design Principles

  • Rust-first implementation: Most implementation code avoids FFI. This narrows the attack surface; it is not a memory-safety or security proof.
  • Post-Quantum APIs: Exposes ML-DSA and ML-KEM parameter sets for interoperability testing and evaluation.
  • Defense-in-Depth: Hybrid schemes combine battle-tested classical algorithms (ECDH/ECDSA) with modern PQC primitives.
  • Timing Analysis: Security-sensitive paths are tested with a built-in statistical Constant-Time Verification Suite where applicable; passing statistical tests is not presented as a proof of constant-time execution.
  • Type Safety: High-level APIs prevent misuse through strong typing (e.g., distinct types for Nonce, Key, and Tag prevents byte-array confusion).
  • no_std & Cross-Platform: Selected crates and feature combinations support no_std with alloc; validate the exact algorithm and target combination before deployment.

📦 Quick Start

Do not select v1.2.3; it is confirmed affected, and earlier introduced-version ranges remain under investigation. Use 2.0.0 or later and pin the exact version you have reviewed. The examples below describe the breaking v2.0.0 API and are not a substitute for application-specific security review.

Example 1: Hybrid Post-Quantum Key Exchange

Securely exchange keys using a hybrid scheme (EcdhP256 + Kyber768). This ensures security remains intact even if quantum computers break elliptic curve cryptography.

use dcrypt::hybrid::kem::EcdhP256Kyber768;
use dcrypt::api::Kem;
use rand::rngs::OsRng;

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let mut rng = OsRng;

    // 1. Alice generates a Hybrid Keypair
    // (Contains both a P-256 keypair and a Kyber-768 keypair)
    let (alice_pk, alice_sk) = EcdhP256Kyber768::keypair(&mut rng)?;

    // 2. Bob encapsulates a shared secret against Alice's public key
    let (ciphertext, shared_secret_bob) = EcdhP256Kyber768::encapsulate(&mut rng, &alice_pk)?;

    // 3. Alice decapsulates the ciphertext to recover the shared secret
    let shared_secret_alice = EcdhP256Kyber768::decapsulate(&alice_sk, &ciphertext)?;

    // 4. Verify secrets match
    assert_eq!(shared_secret_bob.as_ref(), shared_secret_alice.as_ref());
    println!("Hybrid Quantum-Safe Key Exchange successful!");
    
    Ok(())
}

Example 2: Authenticated Encryption (AES-256-GCM)

Standard symmetric encryption remains a core part of the library, featuring ergonomic key management.

use dcrypt::symmetric::aes::{Aes256Gcm, Aes256Key};
use dcrypt::symmetric::cipher::{SymmetricCipher, Aead};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Generate a secure random key
    let key = Aes256Key::generate();
    let cipher = Aes256Gcm::new(&key)?;
    
    let nonce = Aes256Gcm::generate_nonce();
    let plaintext = b"Quantum resistance is futile... actually it's necessary.";
    let aad = Some(b"metadata".as_slice());
    
    // Encrypt
    let ciphertext = cipher.encrypt(&nonce, plaintext, aad)?;
    
    // Decrypt
    let decrypted = cipher.decrypt(&nonce, &ciphertext, aad)?;
    
    assert_eq!(plaintext.to_vec(), decrypted);
    Ok(())
}

Example 3: BLS12-381 Bilinear Pairings

Perform bilinear pairings and hash-to-curve operations standard in decentralized identity and ZK systems.

use dcrypt::algorithms::ec::bls12_381::{
    pairing, G1Projective, G2Affine, G2Projective, Scalar
};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    // 1. Hash a message to a point on G1 using IETF hash-to-curve
    let msg = b"Decentralized Identity";
    let dst = b"BLS_SIG_BLS12381G1_XMD:SHA-256_SSWU_RO_NUL_";
    
    // hash_to_curve returns a projective point
    let point_g1 = G1Projective::hash_to_curve(msg, dst)?.to_affine();

    // 2. Generate a secret scalar and public G2 point
    let secret = Scalar::from(42u64); // In reality, use random generation
    let public_g2 = G2Affine::from(G2Projective::generator() * secret);

    // 3. Compute Pairing e(H(m), [s]G2)
    let result = pairing(&point_g1, &public_g2);
    
    println!("Pairing computed successfully: {:?}", result);
    Ok(())
}

📚 Supported Algorithms

dcrypt provides a unified API for classical, post-quantum, and hybrid operations:

Category Algorithms
Symmetric Encryption (AEAD) AES-128/256-GCM, ChaCha20-Poly1305, XChaCha20-Poly1305
Public Key Encryption (PKE) ECIES (P-192, P-224, P-256, P-384, P-521)
Hash Functions SHA-2 (224, 256, 384, 512), SHA-3, BLAKE2b/s
XOFs SHAKE-128/256, BLAKE3
Password Hashing Argon2id (default), Argon2i, Argon2d, PBKDF2
Key Derivation HKDF, PBKDF2
Digital Signatures ECDSA (P-192 to P-521), Ed25519
Post-Quantum Signatures ML-DSA-44, ML-DSA-65, ML-DSA-87 (final FIPS 204)
Key Exchange / KEM ECDH (P-Curves, K-256, B-283)
Pairing-Friendly Curves BLS12-381 (G1, G2, Gt, Pairings, Hash-to-Curve)
Post-Quantum KEMs Kyber / ML-KEM (Levels 512, 768, 1024)
Hybrid Schemes EcdhP256Kyber768, EcdhP384Kyber1024, EcdsaMlDsa65Hybrid

🏗️ Architecture

The library is organized as a workspace of specialized crates to align type-safety boundaries with security boundaries:

  • dcrypt-api: Defines core traits (SymmetricCipher, Kem, Signature), error types, and fundamental data structures.
  • dcrypt-algorithms: Low-level cryptographic kernels. Constant-time behavior is primitive- and backend-specific; no blanket guarantee is made for this crate.
  • dcrypt-common: Shared security primitives, including SecretBuffer (automatic zeroization) and SecureCompare.
  • dcrypt-symmetric: High-level AEADs, stream ciphers, and secure key management wrappers.
  • dcrypt-pke: Public Key Encryption schemes, specifically ECIES (Elliptic Curve Integrated Encryption Scheme) over standard NIST curves.
  • dcrypt-kem: Implementations of Key Encapsulation Mechanisms (Kyber, ECDH, McEliece placeholders).
  • dcrypt-sign: Implementations of Digital Signatures (Dilithium, ECDSA, Ed25519, SPHINCS+ placeholders).
  • dcrypt-hybrid: Ready-to-use combiners for KEMs and Signatures ensuring crypto-agility.
  • dcrypt-tests: Contains the ACVP test harness and Constant-Time Verification Suite.

🔒 Security & Verification

Security is the primary driver for dcrypt. The library employs a rigorous testing methodology:

Constant-Time Verification

The repository contains a custom statistical regression engine (dcrypt-tests/src/suites/constant_time). The security-validation workflow runs it serially as a regression gate and labels its scope explicitly. It is not dudect or ctgrind, and those stronger target-specific checks remain required before any production constant-time claim.

  • Methodology: Uses interleaved A/B timing measurements, bootstrap confidence intervals, Kolmogorov-Smirnov tests, Welch-style mean-shift checks, and Holm-Bonferroni correction across the combined signals.
  • Noise Gating: Maintains a persistent noise profile and aborts inconclusive runs when the host environment is materially noisier than the historical baseline.
  • Coverage: Exercises critical paths in Kyber, ML-DSA verification, hybrid constructions, ECDH, and AEAD implementations for timing regressions.

Standards testing

  • ACVP Test Harness: Includes an ACVP JSON test harness for supported parameter sets. Passing vectors is a correctness gate, not NIST validation or certification.
  • ML-DSA Interoperability: Runtime key generation, signing, verification, and paired expanded-key validation use libcrux's portable backend. Wrapper-level tests cross-import keys and signatures with the independent fips204 API and pin official NIST ACVP key-generation outputs; that implementation is a development dependency only. Because libcrux does not expose public-key derivation from a bare expanded key, callers that need the associated public key must import the pair with from_bytes_with_public_key.
  • No certification claim: dcrypt is not a FIPS-validated cryptographic module. Each algorithm and encoding must be assessed independently.

📄 License

This project is licensed under the Apache License, Version 2.0.