HACL: a Verified Modern Cryptographic Library
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Nacl's Crypto Box in Hardware
NaCl’s crypto_box in hardware Michael Hutter1;, Jürgen Schilling2, Peter Schwabe3, and Wolfgang Wieser2 ? 1 Rambus Cryptography Research Division 425 Market Street, 11th Floor, San Francisco, CA 94105, USA [email protected] 2 Graz University of Technology, IAIK Inffeldgasse 16a, A-8010, Graz, Austria [email protected],[email protected] 3 Radboud University Digital Security Group, PO Box 9010, 6500GL Nijmegen, The Netherlands [email protected] Abstract. This paper presents a low-resource hardware implementation of the widely used crypto_box function of the Networking and Cryptog- raphy library (NaCl). It supports the X25519 Diffie-Hellman key ex- change using Curve25519, the Salsa20 stream cipher, and the Poly1305 message authenticator. Our targeted application is a secure communica- tion between devices in the Internet of Things (IoT) and Internet servers. Such devices are highly resource-constrained and require carefully op- timized hardware implementations. We propose the first solution that enables 128-bit-secure public-key authenticated encryption on passively- powered IoT devices like WISP nodes. From a cryptographic point of view we thus make a first step to turn these devices into fully-fledged participants of Internet communication. Our crypto processor needs a silicon area of 14.6 kGEs and less than 40 µW of power at 1 MHz for a 130 nm low-leakage CMOS process technology. Keywords: Internet of Things, ASIC, Salsa20, Poly1305, Curve25519. 1 Introduction We need to empower computers with their own means of gathering in- formation, so they can see, hear and smell the world for themselves, in all its random glory. RFID and sensor technology enable computers to observe, identify and understand the world—without the limitations of human-entered data. -
Comparing the Usability of Cryptographic Apis
Comparing the Usability of Cryptographic APIs Yasemin Acar, Michael Backes, Sascha Fahl, Simson Garfinkel∗, Doowon Kimy, Michelle L. Mazureky, and Christian Stransky CISPA, Saarland University; ∗National Institute of Standards and Technology; yUniversity of Maryland, College Park Abstract—Potentially dangerous cryptography errors are well- Many researchers have used static and dynamic analysis documented in many applications. Conventional wisdom suggests techniques to identify and investigate cryptographic errors in that many of these errors are caused by cryptographic Appli- source code or binaries [2]–[6]. This approach is extremely cation Programming Interfaces (APIs) that are too complicated, have insecure defaults, or are poorly documented. To address this valuable for illustrating the pervasiveness of cryptographic problem, researchers have created several cryptographic libraries errors, and for identifying the kinds of errors seen most that they claim are more usable; however, none of these libraries frequently in practice, but it cannot reveal root causes. Conven- have been empirically evaluated for their ability to promote tional wisdom in the security community suggests these errors more secure development. This paper is the first to examine proliferate in large part because cryptography is so difficult for both how and why the design and resulting usability of different cryptographic libraries affects the security of code written with non-experts to get right. In particular, libraries and Application them, with the goal of understanding how to build effective Programming Interfaces (APIs) are widely seen as being future libraries. We conducted a controlled experiment in which complex, with many confusing options and poorly chosen 256 Python developers recruited from GitHub attempt common defaults (e.g. -
Pynacl Release 1.4.0.Dev1
PyNaCl Release 1.4.0.dev1 unknown Jun 02, 2019 CONTENTS 1 Features 3 2 Contents 5 2.1 Public Key Encryption..........................................5 2.2 Secret Key Encryption..........................................9 2.3 Digital Signatures............................................ 12 2.4 Hashing.................................................. 18 2.5 Password hashing............................................ 20 3 Support Features 25 3.1 Encoders................................................. 25 3.2 Exceptions................................................ 26 3.3 Utilities.................................................. 26 3.4 nacl.hash................................................. 27 3.5 nacl.pwhash............................................... 28 3.6 nacl.hashlib................................................ 33 3.7 Installation................................................ 34 3.8 Doing A Release............................................. 34 3.9 Reference vectors............................................ 35 3.10 Changelog................................................ 48 3.11 Indices and tables............................................ 50 Bibliography 51 Python Module Index 53 Index 55 i ii PyNaCl, Release 1.4.0.dev1 PyNaCl is a Python binding to libsodium, which is a fork of the Networking and Cryptography library. These libraries have a stated goal of improving usability, security and speed. It supports Python 2.7 and 3.4+ as well as PyPy 2.6+. CONTENTS 1 PyNaCl, Release 1.4.0.dev1 2 CONTENTS CHAPTER ONE -
How to (Pre-)Compute a Ladder
How to (pre-)compute a ladder Improving the performance of X25519 and X448 Thomaz Oliveira1, Julio L´opez2, H¨useyinHı¸sıl3, Armando Faz-Hern´andez2, and Francisco Rodr´ıguez-Henr´ıquez1 1 Computer Science Department, Cinvestav-IPN [email protected], [email protected] 2 Institute of Computing, University of Campinas [email protected], [email protected] 3 Yasar University [email protected] Abstract. In the RFC 7748 memorandum, the Internet Research Task Force specified a Montgomery-ladder scalar multiplication function based on two recently adopted elliptic curves, \curve25519" and \curve448". The purpose of this function is to support the Diffie-Hellman key ex- change algorithm that will be included in the forthcoming version of the Transport Layer Security cryptographic protocol. In this paper, we describe a ladder variant that permits to accelerate the fixed-point mul- tiplication function inherent to the Diffie-Hellman key pair generation phase. Our proposal combines a right-to-left version of the Montgomery ladder along with the pre-computation of constant values directly de- rived from the base-point and its multiples. To our knowledge, this is the first proposal of a Montgomery ladder procedure for prime elliptic curves that admits the extensive use of pre-computation. In exchange of very modest memory resources and a small extra programming effort, the proposed ladder obtains significant speedups for software implemen- tations. Moreover, our proposal fully complies with the RFC 7748 spec- ification. A software implementation of the X25519 and X448 functions using our pre-computable ladder yields an acceleration factor of roughly 1.20, and 1.25 when implemented on the Haswell and the Skylake micro- architectures, respectively. -
The Complete Cost of Cofactor H = 1
The complete cost of cofactor h = 1 Peter Schwabe and Daan Sprenkels Radboud University, Digital Security Group, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands [email protected], [email protected] Abstract. This paper presents optimized software for constant-time variable-base scalar multiplication on prime-order Weierstraß curves us- ing the complete addition and doubling formulas presented by Renes, Costello, and Batina in 2016. Our software targets three different mi- croarchitectures: Intel Sandy Bridge, Intel Haswell, and ARM Cortex- M4. We use a 255-bit elliptic curve over F2255−19 that was proposed by Barreto in 2017. The reason for choosing this curve in our software is that it allows most meaningful comparison of our results with optimized software for Curve25519. The goal of this comparison is to get an under- standing of the cost of using cofactor-one curves with complete formulas when compared to widely used Montgomery (or twisted Edwards) curves that inherently have a non-trivial cofactor. Keywords: Elliptic Curve Cryptography · SIMD · Curve25519 · scalar multiplication · prime-field arithmetic · cofactor security 1 Introduction Since its invention in 1985, independently by Koblitz [34] and Miller [38], elliptic- curve cryptography (ECC) has widely been accepted as the state of the art in asymmetric cryptography. This success story is mainly due to the fact that attacks have not substantially improved: with a choice of elliptic curve that was in the 80s already considered conservative, the best attack for solving the elliptic- curve discrete-logarithm problem is still the generic Pollard-rho algorithm (with minor speedups, for example by exploiting the efficiently computable negation map in elliptic-curve groups [14]). -
Libsodium V1.0.12 and V1.0.13 Security Assessment
Libsodium v1.0.12 and v1.0.13 Security Assessment Copyright © 2017 Cryptography Engineering LLC Contents 1 Executive Summary 2 2 Introduction 3 2.1 Scope . .3 2.2 Approach . .4 2.3 Classification and Severity Rating . .4 3 Findings 6 3.1 Summary of Findings . .6 3.2 Overview of Cryptographic Design . .7 3.3 Static Analysis Results . 11 3.4 Dynamic Analysis Results . 11 3.5 Detailed Findings . 12 3.5.1 SD-01: Randomness source on Windows based on unofficial APIs only 12 3.5.2 SD-02: Possible null pointer dereference in key exchange API . 12 3.5.3 SD-03: Potential issues with abort() to terminate program on error conditions . 13 3.5.4 SD-04: Potential risks with the custom RNG API . 13 3.5.5 SD-05: Missing APIs in the libsodium documentation . 14 3.5.6 SD-06: Lack of elliptic curves at higher security levels . 14 3.5.7 Formal Verification (In progress) . 15 3.5.8 Diffs between version 1.0.12 and 1.0.13 . 15 4 Conclusions 17 1 Executive Summary Libsodium1 is an open-source, easy-to-use fork of the C-language NaCl crypto library that is portable, cross-platform and provides many common cryptographic functions. These include public-key encryption, signatures, key derivation, password hashing, message authentication codes, stream ciphers, pseudo-random number generators, random number generation, and support for elliptic curves such as Curve25519. This review was funded by Private Internet AccessTM (PIA), although PIA did not direct the review or modify the results. -
Efficient Elliptic Curve Diffie-Hellman Computation at the 256-Bit Security
Efficient Elliptic Curve Diffie-Hellman Computation at the 256-bit Security Level Kaushik Nath and Palash Sarkar Applied Statistics Unit Indian Statistical Institute 203, B. T. Road Kolkata - 700108 India fkaushikn r,[email protected] Abstract In this paper we introduce new Montgomery and Edwards form elliptic curve targeted at the 506 510 256-bit security level. To this end, we work with three primes, namely p1 := 2 − 45, p2 = 2 − 75 521 and p3 := 2 − 1. While p3 has been considered earlier in the literature, p1 and p2 are new. We define a pair of birationally equivalent Montgomery and Edwards form curves over all the three primes. Efficient 64-bit assembly implementations targeted at Skylake and later generation Intel processors have been made for the shared secret computation phase of the Diffie-Hellman key agree- ment protocol for the new Montgomery curves. Curve448 of the Transport Layer Security, Version 1.3 is a Montgomery curve which provides security at the 224-bit security level. Compared to the best publicly available 64-bit implementation of Curve448, the new Montgomery curve over p1 leads to a 3%-4% slowdown and the new Montgomery curve over p2 leads to a 4:5%-5% slowdown; on the other hand, 29 and 30.5 extra bits of security respectively are gained. For designers aiming for the 256-bit security level, the new curves over p1 and p2 provide an acceptable trade-off between security and efficiency. Keywords: Elliptic curve cryptography, Elliptic curve Diffie-Hellman key agreement, Montgomery form, Edwards form, 256-bit security. -
Pynacl Release 1.2.0.Dev1
PyNaCl Release 1.2.0.dev1 Oct 09, 2017 Contents 1 Features 3 2 Contents 5 2.1 Public Key Encryption..........................................5 2.2 Secret Key Encryption..........................................9 2.3 Digital Signatures............................................ 12 2.4 Hashing.................................................. 15 2.5 Password hashing............................................ 18 3 Support Features 23 3.1 Encoders................................................. 23 3.2 Exceptions................................................ 24 3.3 Utilities.................................................. 25 3.4 nacl.hash................................................. 25 3.5 nacl.hashlib................................................ 26 3.6 Installation................................................ 27 3.7 Doing A Release............................................. 28 3.8 Reference vectors............................................ 28 3.9 Changelog................................................ 37 3.10 Indices and tables............................................ 38 Bibliography 39 i ii PyNaCl, Release 1.2.0.dev1 PyNaCl is a Python binding to libsodium, which is a fork of the Networking and Cryptography library. These libraries have a stated goal of improving usability, security and speed. It supports Python 2.7 and 3.3+ as well as PyPy 2.6+. Contents 1 PyNaCl, Release 1.2.0.dev1 2 Contents CHAPTER 1 Features • Digital signatures • Secret-key encryption • Public-key encryption 3 PyNaCl, Release 1.2.0.dev1 4 Chapter 1. Features CHAPTER 2 Contents Public Key Encryption Imagine Alice wants something valuable shipped to her. Because it’s valuable, she wants to make sure it arrives securely (i.e. hasn’t been opened or tampered with) and that it’s not a forgery (i.e. it’s actually from the sender she’s expecting it to be from and nobody’s pulling the old switcheroo). One way she can do this is by providing the sender (let’s call him Bob) with a high-security box of her choosing. -
Measuring and Securing Cryptographic Deployments
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2019 Measuring And Securing Cryptographic Deployments Luke Taylor Valenta University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Computer Sciences Commons Recommended Citation Valenta, Luke Taylor, "Measuring And Securing Cryptographic Deployments" (2019). Publicly Accessible Penn Dissertations. 3507. https://repository.upenn.edu/edissertations/3507 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/3507 For more information, please contact [email protected]. Measuring And Securing Cryptographic Deployments Abstract This dissertation examines security vulnerabilities that arise due to communication failures and incentive mismatches along the path from cryptographic algorithm design to eventual deployment. I present six case studies demonstrating vulnerabilities in real-world cryptographic deployments. I also provide a framework with which to analyze the root cause of cryptographic vulnerabilities by characterizing them as failures in four key stages of the deployment process: algorithm design and cryptanalysis, standardization, implementation, and endpoint deployment. Each stage of this process is error-prone and influenced by various external factors, the incentives of which are not always aligned with security. I validate the framework by applying it to the six presented case studies, tracing each vulnerability back to communication -
How to Correctly Use and Implement Cryptographic Primitives
TMS Cryptography Pack How to correctly use and implement Cryptographic Primitives In our modern digital world, use of cryptographic services, functions and mechanisms is a common rule. Initially largely dedicated to the protection of data confidentiality, cryptographic algorithms are now used to verify data integrity, data origin and to provide non-repudiable evidence of transactions for instance. In this article, we survey different cryptographic primitives, their goal and we show, using examples with TMS Cryptography Pack1, how to use them in a secure manner. Five families of algorithms are discussed: symmetric algorithms, asymmetric algorithms, hash functions, key derivation functions and random number generators. The last section discusses the critical aspect of key management to properly activate the various primitives. Symmetric encryption algorithms These algorithms owe their name to the fact that the same key is used to both encrypt and decrypt file, messages and streams. They use a series of invertible functions that enable the production of a cryptogram from clear text. The most famous symmetric encryption algorithm is the Data Encryption Standard (DES), closely followed by the Advanced Encryption Standard (AES). DES using only 56 bit keys, it shall be banned to protect any sensitive2 data. AES shall be preferred to encrypt data whereas SPECK may be used with low power chips, such as found in embedded systems at large, with the reservation on the fact that it has been designed by NSA and therefore it should not be used to encrypt highly sensitive data with current knowledge on its design. Symmetric encryption algorithms fall into two categories: block encryption (e.g., AES, SPECK) and stream encryption (e.g., SALSA20). -
Securing Communication
news from leading universities and research institutes in the Netherlands reSearcherS • Daniel J. Bernstein, Eindhoven University of Technology, the Netherlands, and University of Illinois at Chicago, USA • Tanja Lange, Eindhoven University of Technology, the Netherlands • Peter Schwabe, Academia Sinica, Taiwan. High-security and high-speed protection for computer networks Securing communication Internet and mobile communication has become a vital part of our lives in the past decade, but almost all of it is exposed to criminals. Researchers at the Eindhoven University of Technology have developed a new cryptographic library that is fast enough to allow universal deployment of high-security encryption. We often assume that communication downloading a game from an online These essential requirements over the internet is just as secure store. Users begin by accessing the of communication over computer as traditional forms of personal online store, and want to be sure that networks are ensured through communication. We assume that we they are in fact accessing the right cryptographic protection. Encryption know who we are communicating website and not a look-alike that will is what provides communication with; we assume our conversations are take their money but not let them with confidentiality, the assurance private, that only the person we talk download the software. Users then that transmitted information is only to can hear what we are saying; and submit their credit-card details or other read by the recipient and not by we assume that what we are saying banking information, and want to be an eavesdropper. Authentication will reach the recipient without being sure that this information is protected of users and data is provided by modified. -
Developer Cryptography Best Practices
1 Developer Cryptography ì Best Practices Secure Software Systems Fall 2018 2 Design Considerations ì How do I update my crypto? ì In an installed application ì With users in the field ì Gracefully? ì So that over time, all active accounts are transparently upgraded to the latest secure standards? ì Examples ì New KDF (function, or just parameters) after old KDF found to be weak ì New crypto library after security bugs fixed Secure Software Systems Fall 2018 3 ì Application Use Cases Secure Software Systems Fall 2018 4 Application Use Cases ì Password handling (Storing passwords in a database, using human- intelligible secret keys, …) ì Plaintext? NO NO NO ì Old cryptographic hash (MD5)? NO NO ì Old cryptographic hash (MD5) with salt? NO NO ì New cryptographic hash (SHA-2) with salt? NO ì CPU and memory intensive Key Derivation Function? YES! ì bcrypt ì scrypt Secure Software Systems https://blog.tjll.net/please-stop-hashing-passwords/ Fall 2018 5 Application Use Cases ì Encryption of Bulk Data (Hiding from users / hiding from network) ì NaCl / Libsodium default – YES! ì Chacha20 Cipher w/ Poly1305 MAC – YES! ì AES-GCM – YES! ì All options provide AEAD ì Authenticated Encryption with Associated Data Secure Software Systems Fall 2018 6 Application Use Cases ì Symmetric Signatures (Authenticating an API, authenticating cookies, but not encrypting) ì HMAC – YES! ì GMAC – YES! ì But are you sure you don’t also want to be encrypting the data via AEAD? Secure Software Systems Fall 2018 7 Application Use Cases ì Asymmetric Encryption, i.e.