High-Level Cryptographic Abstractions
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FIPS 140-2 Non-Proprietary Security Policy Oracle Linux 7 NSS
FIPS 140-2 Non-Proprietary Security Policy Oracle Linux 7 NSS Cryptographic Module FIPS 140-2 Level 1 Validation Software Version: R7-4.0.0 Date: January 22nd, 2020 Document Version 2.3 © Oracle Corporation This document may be reproduced whole and intact including the Copyright notice. Title: Oracle Linux 7 NSS Cryptographic Module Security Policy Date: January 22nd, 2020 Author: Oracle Security Evaluations – Global Product Security Contributing Authors: Oracle Linux Engineering Oracle Corporation World Headquarters 500 Oracle Parkway Redwood Shores, CA 94065 U.S.A. Worldwide Inquiries: Phone: +1.650.506.7000 Fax: +1.650.506.7200 oracle.com Copyright © 2020, Oracle and/or its affiliates. All rights reserved. This document is provided for information purposes only and the contents hereof are subject to change without notice. This document is not warranted to be error-free, nor subject to any other warranties or conditions, whether expressed orally or implied in law, including implied warranties and conditions of merchantability or fitness for a particular purpose. Oracle specifically disclaim any liability with respect to this document and no contractual obligations are formed either directly or indirectly by this document. This document may reproduced or distributed whole and intact including this copyright notice. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Oracle Linux 7 NSS Cryptographic Module Security Policy i TABLE OF CONTENTS Section Title -
Extending NIST's CAVP Testing of Cryptographic Hash Function
Extending NIST’s CAVP Testing of Cryptographic Hash Function Implementations Nicky Mouha and Christopher Celi National Institute of Standards and Technology, Gaithersburg, MD, USA [email protected],[email protected] Abstract. This paper describes a vulnerability in Apple’s CoreCrypto library, which affects 11 out of the 12 implemented hash functions: every implemented hash function except MD2 (Message Digest 2), as well as several higher-level operations such as the Hash-based Message Authen- tication Code (HMAC) and the Ed25519 signature scheme. The vulnera- bility is present in each of Apple’s CoreCrypto libraries that are currently validated under FIPS 140-2 (Federal Information Processing Standard). For inputs of about 232 bytes (4 GiB) or more, the implementations do not produce the correct output, but instead enter into an infinite loop. The vulnerability shows a limitation in the Cryptographic Algorithm Validation Program (CAVP) of the National Institute of Standards and Technology (NIST), which currently does not perform tests on hash func- tions for inputs larger than 65 535 bits. To overcome this limitation of NIST’s CAVP, we introduce a new test type called the Large Data Test (LDT). The LDT detects vulnerabilities similar to that in CoreCrypto in implementations submitted for validation under FIPS 140-2. Keywords: CVE-2019-8741, FIPS, CAVP, ACVP, Apple, CoreCrypto, hash function, vulnerability. 1 Introduction The security of cryptography in practice relies not only on the resistance of the algorithms against cryptanalytical attacks, but also on the correctness and robustness of their implementations. Software implementations are vulnerable to software faults, also known as bugs. -
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. -
A (Second) Preimage Attack on the GOST Hash Function
A (Second) Preimage Attack on the GOST Hash Function Florian Mendel, Norbert Pramstaller, and Christian Rechberger Institute for Applied Information Processing and Communications (IAIK), Graz University of Technology, Inffeldgasse 16a, A-8010 Graz, Austria [email protected] Abstract. In this article, we analyze the security of the GOST hash function with respect to (second) preimage resistance. The GOST hash function, defined in the Russian standard GOST-R 34.11-94, is an iter- ated hash function producing a 256-bit hash value. As opposed to most commonly used hash functions such as MD5 and SHA-1, the GOST hash function defines, in addition to the common iterated structure, a check- sum computed over all input message blocks. This checksum is then part of the final hash value computation. For this hash function, we show how to construct second preimages and preimages with a complexity of about 2225 compression function evaluations and a memory requirement of about 238 bytes. First, we show how to construct a pseudo-preimage for the compression function of GOST based on its structural properties. Second, this pseudo- preimage attack on the compression function is extended to a (second) preimage attack on the GOST hash function. The extension is possible by combining a multicollision attack and a meet-in-the-middle attack on the checksum. Keywords: cryptanalysis, hash functions, preimage attack 1 Introduction A cryptographic hash function H maps a message M of arbitrary length to a fixed-length hash value h. A cryptographic hash function has to fulfill the following security requirements: – Collision resistance: it is practically infeasible to find two messages M and M ∗, with M ∗ 6= M, such that H(M) = H(M ∗). -
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 -
Advanced Meet-In-The-Middle Preimage Attacks: First Results on Full Tiger, and Improved Results on MD4 and SHA-2
Advanced Meet-in-the-Middle Preimage Attacks: First Results on Full Tiger, and Improved Results on MD4 and SHA-2 Jian Guo1, San Ling1, Christian Rechberger2, and Huaxiong Wang1 1 Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 2 Dept. of Electrical Engineering ESAT/COSIC, K.U.Leuven, and Interdisciplinary Institute for BroadBand Technology (IBBT), Kasteelpark Arenberg 10, B–3001 Heverlee, Belgium. [email protected] Abstract. We revisit narrow-pipe designs that are in practical use, and their security against preimage attacks. Our results are the best known preimage attacks on Tiger, MD4, and reduced SHA-2, with the result on Tiger being the first cryptanalytic shortcut attack on the full hash function. Our attacks runs in time 2188.8 for finding preimages, and 2188.2 for second-preimages. Both have memory requirement of order 28, which is much less than in any other recent preimage attacks on reduced Tiger. Using pre-computation techniques, the time complexity for finding a new preimage or second-preimage for MD4 can now be as low as 278.4 and 269.4 MD4 computations, respectively. The second-preimage attack works for all messages longer than 2 blocks. To obtain these results, we extend the meet-in-the-middle framework recently developed by Aoki and Sasaki in a series of papers. In addition to various algorithm-specific techniques, we use a number of conceptually new ideas that are applicable to a larger class of constructions. Among them are (1) incorporating multi-target scenarios into the MITM framework, leading to faster preimages from pseudo-preimages, (2) a simple precomputation technique that allows for finding new preimages at the cost of a single pseudo-preimage, and (3) probabilistic initial structures, to reduce the attack time complexity. -
Certicom Security Builder GSE Datasheet
Security Builder® GSE™ FIPS 140-2 VALIDATED CRYPTOGRAPHIC MODULE Build trusted, government-approved security into your products. Security Builder® GSE™ enables developers to quickly build client and server-side applications that require a FIPS 140-2 level 1 validation for the cryptographic module. Security Builder GSE acts as a software cryptographic provider within the Certicom® Security Architecture™ – a comprehensive, portable and modular solution designed to allow developers to quickly and cost-effectively embed security across multiple families and generations of devices and applications. MEETS GOVERNMENT SECURITY REQUIREMENTS REDUCES TIME TO MARKET A number of government regulations mandate the use of FIPS By building on Security Builder GSE, you can avoid the lengthy validated modules for the protection of data, especially in a and expensive FIPS validation process and get your product to wireless setting. FIPS also helps demonstrate adherence to market more quickly. Re-validation and re-branding options security best practices. In the US, for instance, compliance are also available if you wish for your product to be listed on with FIPS 140-2 can help manufacturers of network- the NIST Cryptographic Module Validation Program active connected devices and application software demonstrate best validation list. By using a pre-validated module you can meet practice encryption capabilities for protecting patient and user security requirements without diverting valuable resources and data. keep your developers focused on your core application. Security Builder GSE has been validated on a wide variety COMPREHENSIVE SECURITY SOLUTION of high-level and embedded operating systems, including QNX With support for leading client and server-side operating real-time OS, Android and iOS. -
Implementation of Hash Function for Cryptography (Rsa Security)
International Journal For Technological Research In Engineering Volume 4, Issue 6, February-2017 ISSN (Online): 2347 - 4718 IMPLEMENTATION OF HASH FUNCTION FOR CRYPTOGRAPHY (RSA SECURITY) Syed Fateh Reza1, Mr. Prasun Das2 1M.Tech. (ECE), 2Assistant Professor (ECE), Bitm,Bolpur ABSTRACT: In this thesis, a new method for expected to have a unique hash code and it should be implementing cryptographic hash functions is proposed. generally difficult for an attacker to find two messages with This method seeks to improve the speed of the hash the same hash code. function particularly when a large set of messages with Mathematically, a hash function (H) is defined as follows: similar blocks such as documents with common Headers H: {0, 1}* → {0, 1}n are to be hashed. The method utilizes the peculiar run-time In this notation, {0, 1}* refers to the set of binary elements configurability Feature of FPGA. Essentially, when a block of any length including the empty string while {0, 1}n refers of message that is commonly hashed is identified, the hash to the set of binary elements of length n. Thus, the hash value is stored in memory so that in subsequent occurrences function maps a set of binary elements of arbitrary length to of The message block, the hash value does not need to be a set of binary elements of fixed length. Similarly, the recomputed; rather it is Simply retrieved from memory, thus properties of a hash function are defined as follows: giving a significant increase in speed. The System is self- x {0, 1}*; y {0,1}n learning and able to dynamically build on its knowledge of Pre-image resistance: given y= H(x), it should be difficult to frequently Occurring message blocks without intervention find x. -
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. -
IBM® Crypto for C (ICC) Version 8.0.0 FIPS 140-2 Non-Proprietary
IBM® Crypto for C (ICC) Version 8.0.0 FIPS 140-2 Non-Proprietary Security Policy, version 1.2 December 6, 2010 IBM® Crypto for C (ICC), Version 8.0.0 FIPS 140-2 Non-Proprietary Security Policy, version 1.2 December 6, 2010 This document is the property of International Business Machines Corporation (IBM® Corp.). This document may only be reproduced in its entirety without modifications. © Copyright 2010 IBM Corp. All Rights Reserved Table Of Contents 2. References and Abbreviations ................................................................................ 3 2.1 References ......................................................................................................................... 3 2.2 Abbreviations .................................................................................................................... 3 3 Introduction ............................................................................................................... 5 3.1 Purpose of the Security Policy ......................................................................................... 5 3.2 Target Audience ................................................................................................................ 5 4. Cryptographic Module Definition ................................................................................ 6 4.1 Cryptographic Module Boundary ...................................................................................... 8 5. FIPS 140-2 Specifications ..................................................................................... -
Hash Functions & Macs ECE 646 Lecture 9
ECE 646 Lecture 9 Hash functions & MACs Required Reading W. Stallings, "Cryptography and Network-Security,” Chapter 11 Cryptographic Hash Functions Appendix 11A Mathematical Basis of Birthday Attack Chapter 12 Message Authentication Codes Recommended Reading SHA-3 Project https://csrc.nist.gov/projects/hash-functions/sha-3-project Digital Signature Alice Bob Message Signature Message Signature Hash Hash function function Hash value 1 Hash value yes no Hash value 2 Public key Public key algorithm algorithm Alice’s private key Alice’s public key Hash function arbitrary length m message hash h function h(m) hash value fixed length Vocabulary hash function hash value message digest message digest hash total fingerprint imprint cryptographic checksum compressed encoding MDC, Message Digest Code Hash functions Basic requirements 1. Public description, NO key 2. Compression arbitrary length input ® fixed length output 3. Ease of computation Hash functions Security requirements It is computationally infeasible Given To Find 1. Preimage resistance y x, such that h(x) = y 2. 2nd preimage resistance x’ ¹ x, such that x and y=h(x) h(x’) = h(x) = y 3. Collision resistance x’ ¹ x, such that h(x’) = h(x) Hash functions Dependence between requirements 2nd preimage resistant collision resistant Hash functions (unkeyed) One-Way Collision-Resistant Hash Functions Hash Functions OWHF CRHF preimage resistance 2nd preimage resistance collision resistance Brute force attack against One-Way Hash Function Given y mi’ i=1..2n 2n messages with the contents required by the forger h ? h(mi’) = y n - bits Creating multiple versions of the required message state thereby borrowed I confirm - that I received Mr.