The Security Impact of a New Cryptographic Library
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FIPS 140-2 Non-Proprietary Security Policy
Kernel Crypto API Cryptographic Module version 1.0 FIPS 140-2 Non-Proprietary Security Policy Version 1.3 Last update: 2020-03-02 Prepared by: atsec information security corporation 9130 Jollyville Road, Suite 260 Austin, TX 78759 www.atsec.com © 2020 Canonical Ltd. / atsec information security This document can be reproduced and distributed only whole and intact, including this copyright notice. Kernel Crypto API Cryptographic Module FIPS 140-2 Non-Proprietary Security Policy Table of Contents 1. Cryptographic Module Specification ..................................................................................................... 5 1.1. Module Overview ..................................................................................................................................... 5 1.2. Modes of Operation ................................................................................................................................. 9 2. Cryptographic Module Ports and Interfaces ........................................................................................ 10 3. Roles, Services and Authentication ..................................................................................................... 11 3.1. Roles .......................................................................................................................................................11 3.2. Services ...................................................................................................................................................11 -
Failures of Secret-Key Cryptography D
Failures of secret-key cryptography D. J. Bernstein University of Illinois at Chicago & Technische Universiteit Eindhoven http://xkcd.com/538/ 2011 Grigg{Gutmann: In the past 15 years \no one ever lost money to an attack on a properly designed cryptosystem (meaning one that didn't use homebrew crypto or toy keys) in the Internet or commercial worlds". 2011 Grigg{Gutmann: In the past 15 years \no one ever lost money to an attack on a properly designed cryptosystem (meaning one that didn't use homebrew crypto or toy keys) in the Internet or commercial worlds". 2002 Shamir:\Cryptography is usually bypassed. I am not aware of any major world-class security system employing cryptography in which the hackers penetrated the system by actually going through the cryptanalysis." Do these people mean that it's actually infeasible to break real-world crypto? Do these people mean that it's actually infeasible to break real-world crypto? Or do they mean that breaks are feasible but still not worthwhile for the attackers? Do these people mean that it's actually infeasible to break real-world crypto? Or do they mean that breaks are feasible but still not worthwhile for the attackers? Or are they simply wrong: real-world crypto is breakable; is in fact being broken; is one of many ongoing disaster areas in security? Do these people mean that it's actually infeasible to break real-world crypto? Or do they mean that breaks are feasible but still not worthwhile for the attackers? Or are they simply wrong: real-world crypto is breakable; is in fact being broken; is one of many ongoing disaster areas in security? Let's look at some examples. -
Using Frankencerts for Automated Adversarial Testing of Certificate
Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations Chad Brubaker ∗ y Suman Janay Baishakhi Rayz Sarfraz Khurshidy Vitaly Shmatikovy ∗Google yThe University of Texas at Austin zUniversity of California, Davis Abstract—Modern network security rests on the Secure Sock- many open-source implementations of SSL/TLS are available ets Layer (SSL) and Transport Layer Security (TLS) protocols. for developers who need to incorporate SSL/TLS into their Distributed systems, mobile and desktop applications, embedded software: OpenSSL, NSS, GnuTLS, CyaSSL, PolarSSL, Ma- devices, and all of secure Web rely on SSL/TLS for protection trixSSL, cryptlib, and several others. Several Web browsers against network attacks. This protection critically depends on include their own, proprietary implementations. whether SSL/TLS clients correctly validate X.509 certificates presented by servers during the SSL/TLS handshake protocol. In this paper, we focus on server authentication, which We design, implement, and apply the first methodology for is the only protection against man-in-the-middle and other large-scale testing of certificate validation logic in SSL/TLS server impersonation attacks, and thus essential for HTTPS implementations. Our first ingredient is “frankencerts,” synthetic and virtually any other application of SSL/TLS. Server authen- certificates that are randomly mutated from parts of real cer- tication in SSL/TLS depends entirely on a single step in the tificates and thus include unusual combinations of extensions handshake protocol. As part of its “Server Hello” message, and constraints. Our second ingredient is differential testing: if the server presents an X.509 certificate with its public key. -
Libressl Presentatie2
Birth of LibreSSL and its current status Frank Timmers Consutant, Snow B.V. Background What is LibreSSL • A fork of OpenSSL 1.0.1g • Being worked on extensively by a number of OpenBSD developers What is OpenSSL • OpenSSL is an open source SSL/TLS crypto library • Currently the de facto standard for many servers and clients • Used for securing http, smtp, imap and many others Alternatives • Netscape Security Services (NSS) • BoringSSL • GnuTLS What is Heartbleed • Heartbleed was a bug leaking of private data (keys) from both client and server • At this moment known as “the worst bug ever” • Heartbeat code for DTLS over UDP • So why was this also included in the TCP code? • Not the reason to create a fork Why did this happen • Nobody looked • Or at least didn’t admit they looked Why did nobody look • The code is horrible • Those who did look, quickly looked away and hoped upstream could deal with it Why was the code so horrible • Buggy re-implementations of standard libc functions like random() and malloc() • Forces all platforms to use these buggy implementations • Nested #ifdef, #ifndefs (up to 17 layers deep) through out the code • Written in “OpenSSL C”, basically their own dialect • Everything on by default Why was it so horrible? crypto_malloc • Never frees memory (Tools like Valgrind, Coverity can’t spot bugs) • Used LIFO recycling (Use after free?) • Included debug malloc by default, logging private data • Included the ability to replace malloc/free at runtime #ifdef trees • #ifdef, #elif, #else trees up to 17 layers deep • Throughout the complete source • Some of which could never be reached • Hard to see what is or not compiled in 1. -
Key Differentiation Attacks on Stream Ciphers
Key differentiation attacks on stream ciphers Abstract In this paper the applicability of differential cryptanalytic tool to stream ciphers is elaborated using the algebraic representation similar to early Shannon’s postulates regarding the concept of confusion. In 2007, Biham and Dunkelman [3] have formally introduced the concept of differential cryptanalysis in stream ciphers by addressing the three different scenarios of interest. Here we mainly consider the first scenario where the key difference and/or IV difference influence the internal state of the cipher (∆key, ∆IV ) → ∆S. We then show that under certain circumstances a chosen IV attack may be transformed in the key chosen attack. That is, whenever at some stage of the key/IV setup algorithm (KSA) we may identify linear relations between some subset of key and IV bits, and these key variables only appear through these linear relations, then using the differentiation of internal state variables (through chosen IV scenario of attack) we are able to eliminate the presence of corresponding key variables. The method leads to an attack whose complexity is beyond the exhaustive search, whenever the cipher admits exact algebraic description of internal state variables and the keystream computation is not complex. A successful application is especially noted in the context of stream ciphers whose keystream bits evolve relatively slow as a function of secret state bits. A modification of the attack can be applied to the TRIVIUM stream cipher [8], in this case 12 linear relations could be identified but at the same time the same 12 key variables appear in another part of state register. -
The Missing Difference Problem, and Its Applications to Counter Mode
The Missing Difference Problem, and its Applications to Counter Mode Encryption? Ga¨etanLeurent and Ferdinand Sibleyras Inria, France fgaetan.leurent,[email protected] Abstract. The counter mode (CTR) is a simple, efficient and widely used encryption mode using a block cipher. It comes with a security proof that guarantees no attacks up to the birthday bound (i.e. as long as the number of encrypted blocks σ satisfies σ 2n=2), and a matching attack that can distinguish plaintext/ciphertext pairs from random using about 2n=2 blocks of data. The main goal of this paper is to study attacks against the counter mode beyond this simple distinguisher. We focus on message recovery attacks, with realistic assumptions about the capabilities of an adversary, and evaluate the full time complexity of the attacks rather than just the query complexity. Our main result is an attack to recover a block of message with complexity O~(2n=2). This shows that the actual security of CTR is similar to that of CBC, where collision attacks are well known to reveal information about the message. To achieve this result, we study a simple algorithmic problem related to the security of the CTR mode: the missing difference problem. We give efficient algorithms for this problem in two practically relevant cases: where the missing difference is known to be in some linear subspace, and when the amount of data is higher than strictly required. As a further application, we show that the second algorithm can also be used to break some polynomial MACs such as GMAC and Poly1305, with a universal forgery attack with complexity O~(22n=3). -
Black-Box Security Analysis of State Machine Implementations Joeri De Ruiter
Black-box security analysis of state machine implementations Joeri de Ruiter 18-03-2019 Agenda 1. Why are state machines interesting? 2. How do we know that the state machine is implemented correctly? 3. What can go wrong if the implementation is incorrect? What are state machines? • Almost every protocol includes some kind of state • State machine is a model of the different states and the transitions between them • When receiving a messages, given the current state: • Decide what action to perform • Which message to respond with • Which state to go the next Why are state machines interesting? • State machines play a very important role in security protocols • For example: • Is the user authenticated? • Did we agree on keys? And if so, which keys? • Are we encrypting our traffic? • Every implementation of a protocol has to include the corresponding state machine • Mistakes can lead to serious security issues! State machine example Confirm transaction Verify PIN 0000 Failed Init Failed Verify PIN 1234 OK Verified Confirm transaction OK State machines in specifications • Often specifications do not explicitly contain a state machine • Mainly explained in lots of prose • Focus usually on happy flow • What to do if protocol flow deviates from this? Client Server ClientHello --------> ServerHello Certificate* ServerKeyExchange* CertificateRequest* <-------- ServerHelloDone Certificate* ClientKeyExchange CertificateVerify* [ChangeCipherSpec] Finished --------> [ChangeCipherSpec] <-------- Finished Application Data <-------> Application Data -
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. -
Stream Ciphers (Contd.)
Stream Ciphers (contd.) Debdeep Mukhopadhyay Assistant Professor Department of Computer Science and Engineering Indian Institute of Technology Kharagpur INDIA -721302 Objectives • Non-linear feedback shift registers • Stream ciphers using LFSRs: – Non-linear combination generators – Non-linear filter generators – Clock controlled generators – Other Stream Ciphers Low Power Ajit Pal IIT Kharagpur 1 Non-linear feedback shift registers • A Feedback Shift Register (FSR) is non-singular iff for all possible initial states every output sequence of the FSR is periodic. de Bruijn Sequence An FSR with feedback function fs(jj−−12 , s ,..., s jL − ) is non-singular iff f is of the form: fs=⊕jL−−−−+ gss( j12 , j ,..., s jL 1 ) for some Boolean function g. The period of a non-singular FSR with length L is at most 2L . If the period of the output sequence for any initial state of a non-singular FSR of length L is 2L , then the FSR is called a de Bruijn FSR, and the output sequence is called a de Bruijn sequence. Low Power Ajit Pal IIT Kharagpur 2 Example f (,xxx123 , )1= ⊕⊕⊕ x 2 x 3 xx 12 t x1 x2 x3 t x1 x2 x3 0 0 0 0 4 0 1 1 1 1 0 0 5 1 0 1 2 1 1 0 6 0 1 0 3 1 1 1 3 0 0 1 Converting a maximal length LFSR to a de-Bruijn FSR Let R1 be a maximum length LFSR of length L with linear feedback function: fs(jj−−12 , s ,..., s jL − ). Then the FSR R2 with feedback function: gs(jj−−12 , s ,..., s jL − )=⊕ f sjj−−12 , s ,..., s j −L+1 is a de Bruijn FSR. -
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. -
Vetting SSL Usage in Applications with SSLINT
2015 IEEE Symposium on Security and Privacy Vetting SSL Usage in Applications with SSLINT Boyuan He1, Vaibhav Rastogi2, Yinzhi Cao3, Yan Chen2, V.N. Venkatakrishnan4, Runqing Yang1, and Zhenrui Zhang1 1Zhejiang University 2Northwestern University 3Columbia University 4University of Illinois, Chicago [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] Abstract—Secure Sockets Layer (SSL) and Transport Layer In particular, we ask the following research question: Is it Security (TLS) protocols have become the security backbone of possible to design scalable techniques that detect incorrect use the Web and Internet today. Many systems including mobile of APIs in applications using SSL/TLS libraries? This question and desktop applications are protected by SSL/TLS protocols against network attacks. However, many vulnerabilities caused poses the following challenges: by incorrect use of SSL/TLS APIs have been uncovered in recent • Defining and representing correct use. Given an SSL years. Such vulnerabilities, many of which are caused due to poor library, how do we model correct use of the API to API design and inexperience of application developers, often lead to confidential data leakage or man-in-the-middle attacks. In this facilitate detection? paper, to guarantee code quality and logic correctness of SSL/TLS • Analysis techniques for incorrect usage in software. applications, we design and implement SSLINT, a scalable, Given a representation of correct usage, how do we de- automated, static analysis system for detecting incorrect use sign techniques for analyzing programs to detect incorrect of SSL/TLS APIs. -
You Really Shouldn't Roll Your Own Crypto: an Empirical Study of Vulnerabilities in Cryptographic Libraries
You Really Shouldn’t Roll Your Own Crypto: An Empirical Study of Vulnerabilities in Cryptographic Libraries Jenny Blessing Michael A. Specter Daniel J. Weitzner MIT MIT MIT Abstract A common aphorism in applied cryptography is that cryp- The security of the Internet rests on a small number of open- tographic code is inherently difficult to secure due to its com- source cryptographic libraries: a vulnerability in any one of plexity; that one should not “roll your own crypto.” In par- them threatens to compromise a significant percentage of web ticular, the maxim that complexity is the enemy of security traffic. Despite this potential for security impact, the character- is a common refrain within the security community. Since istics and causes of vulnerabilities in cryptographic software the phrase was first popularized in 1999 [52], it has been in- are not well understood. In this work, we conduct the first voked in general discussions about software security [32] and comprehensive analysis of cryptographic libraries and the vul- cited repeatedly as part of the encryption debate [26]. Conven- nerabilities affecting them. We collect data from the National tional wisdom holds that the greater the number of features Vulnerability Database, individual project repositories and in a system, the greater the risk that these features and their mailing lists, and other relevant sources for eight widely used interactions with other components contain vulnerabilities. cryptographic libraries. Unfortunately, the security community lacks empirical ev- Among our most interesting findings is that only 27.2% of idence supporting the “complexity is the enemy of security” vulnerabilities in cryptographic libraries are cryptographic argument with respect to cryptographic software.