Attacking SSL When Using RC4
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Breaking Crypto Without Keys: Analyzing Data in Web Applications Chris Eng
Breaking Crypto Without Keys: Analyzing Data in Web Applications Chris Eng 1 Introduction – Chris Eng _ Director of Security Services, Veracode _ Former occupations . 2000-2006: Senior Consulting Services Technical Lead with Symantec Professional Services (@stake up until October 2004) . 1998-2000: US Department of Defense _ Primary areas of expertise . Web Application Penetration Testing . Network Penetration Testing . Product (COTS) Penetration Testing . Exploit Development (well, a long time ago...) _ Lead developer for @stake’s now-extinct WebProxy tool 2 Assumptions _ This talk is aimed primarily at penetration testers but should also be useful for developers to understand how your application might be vulnerable _ Assumes basic understanding of cryptographic terms but requires no understanding of the underlying math, etc. 3 Agenda 1 Problem Statement 2 Crypto Refresher 3 Analysis Techniques 4 Case Studies 5 Q & A 4 Problem Statement 5 Problem Statement _ What do you do when you encounter unknown data in web applications? . Cookies . Hidden fields . GET/POST parameters _ How can you tell if something is encrypted or trivially encoded? _ How much do I really have to know about cryptography in order to exploit implementation weaknesses? 6 Goals _ Understand some basic techniques for analyzing and breaking down unknown data _ Understand and recognize characteristics of bad crypto implementations _ Apply techniques to real-world penetration tests 7 Crypto Refresher 8 Types of Ciphers _ Block Cipher . Operates on fixed-length groups of bits, called blocks . Block sizes vary depending on the algorithm (most algorithms support several different block sizes) . Several different modes of operation for encrypting messages longer than the basic block size . -
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. -
(SMC) MODULE of RC4 STREAM CIPHER ALGORITHM for Wi-Fi ENCRYPTION
InternationalINTERNATIONAL Journal of Electronics and JOURNAL Communication OF Engineering ELECTRONICS & Technology (IJECET),AND ISSN 0976 – 6464(Print), ISSN 0976 – 6472(Online), Volume 6, Issue 1, January (2015), pp. 79-85 © IAEME COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET) ISSN 0976 – 6464(Print) IJECET ISSN 0976 – 6472(Online) Volume 6, Issue 1, January (2015), pp. 79-85 © IAEME: http://www.iaeme.com/IJECET.asp © I A E M E Journal Impact Factor (2015): 7.9817 (Calculated by GISI) www.jifactor.com VHDL MODELING OF THE SRAM MODULE AND STATE MACHINE CONTROLLER (SMC) MODULE OF RC4 STREAM CIPHER ALGORITHM FOR Wi-Fi ENCRYPTION Dr.A.M. Bhavikatti 1 Mallikarjun.Mugali 2 1,2Dept of CSE, BKIT, Bhalki, Karnataka State, India ABSTRACT In this paper, VHDL modeling of the SRAM module and State Machine Controller (SMC) module of RC4 stream cipher algorithm for Wi-Fi encryption is proposed. Various individual modules of Wi-Fi security have been designed, verified functionally using VHDL-simulator. In cryptography RC4 is the most widely used software stream cipher and is used in popular protocols such as Transport Layer Security (TLS) (to protect Internet traffic) and WEP (to secure wireless networks). While remarkable for its simplicity and speed in software, RC4 has weaknesses that argue against its use in new systems. It is especially vulnerable when the beginning of the output key stream is not discarded, or when nonrandom or related keys are used; some ways of using RC4 can lead to very insecure cryptosystems such as WEP . Many stream ciphers are based on linear feedback shift registers (LFSRs), which, while efficient in hardware, are less so in software. -
A Practical Attack on Broadcast RC4
A Practical Attack on Broadcast RC4 Itsik Mantin and Adi Shamir Computer Science Department, The Weizmann Institute, Rehovot 76100, Israel. {itsik,shamir}@wisdom.weizmann.ac.il Abstract. RC4is the most widely deployed stream cipher in software applications. In this paper we describe a major statistical weakness in RC4, which makes it trivial to distinguish between short outputs of RC4 and random strings by analyzing their second bytes. This weakness can be used to mount a practical ciphertext-only attack on RC4in some broadcast applications, in which the same plaintext is sent to multiple recipients under different keys. 1 Introduction A large number of stream ciphers were proposed and implemented over the last twenty years. Most of these ciphers were based on various combinations of linear feedback shift registers, which were easy to implement in hardware, but relatively slow in software. In 1987Ron Rivest designed the RC4 stream cipher, which was based on a different and more software friendly paradigm. It was integrated into Microsoft Windows, Lotus Notes, Apple AOCE, Oracle Secure SQL, and many other applications, and has thus become the most widely used software- based stream cipher. In addition, it was chosen to be part of the Cellular Digital Packet Data specification. Its design was kept a trade secret until 1994, when someone anonymously posted its source code to the Cypherpunks mailing list. The correctness of this unofficial description was confirmed by comparing its outputs to those produced by licensed implementations. RC4 has a secret internal state which is a permutation of all the N =2n possible n bits words. -
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. -
RC4 Encryption
Ralph (Eddie) Rise Suk-Hyun Cho Devin Kaylor RC4 Encryption RC4 is an encryption algorithm that was created by Ronald Rivest of RSA Security. It is used in WEP and WPA, which are encryption protocols commonly used on wireless routers. The workings of RC4 used to be a secret, but its code was leaked onto the internet in 1994. RC4 was originally very widely used due to its simplicity and speed. Typically 16 byte keys are used for strong encryption, but shorter key lengths are also widely used due to export restrictions. Over time this code was shown to produce biased outputs towards certain sequences, mostly in first few bytes of the keystream generated. This led to a future version of the RC4 code that is more widely used today, called RC4-drop[n], in which the first n bytes of the keystream are dropped in order to get rid of this biased output. Some notable uses of RC4 are implemented in Microsoft Excel, Adobe's Acrobat 2.0 (1994), and BitTorrent clients. To begin the process of RC4 encryption, you need a key, which is often user-defined and between 40-bits and 256-bits. A 40-bit key represents a five character ASCII code that gets translated into its 40 character binary equivalent (for example, the ASCII key "pwd12" is equivalent to 0111000001110111011001000011000100110010 in binary). The next part of RC4 is the key-scheduling algorithm (KSA), listed below (from Wikipedia). for i from 0 to 255 S[i] := i endfor j := 0 for i from 0 to 255 j := (j + S[i] + key[i mod keylength]) mod 256 swap(S[i],S[j]) endfor KSA creates an array S that contains 256 entries with the digits 0 through 255, as in the table below. -
An Analysis of the Hermes8 Stream Ciphers
An Analysis of the Hermes8 Stream Ciphers Steve Babbage1, Carlos Cid2, Norbert Pramstaller3,andH˚avard Raddum4 1 Vodafone Group R&D, Newbury, United Kingdom [email protected] 2 Information Security Group, Royal Holloway, University of London Egham, United Kingdom [email protected] 3 IAIK, Graz University of Technology Graz, Austria [email protected] 4 Dept. of Informatics, The University of Bergen, Bergen, Norway [email protected] Abstract. Hermes8 [6,7] is one of the stream ciphers submitted to the ECRYPT Stream Cipher Project (eSTREAM [3]). In this paper we present an analysis of the Hermes8 stream ciphers. In particular, we show an attack on the latest version of the cipher (Hermes8F), which requires very few known keystream bytes and recovers the cipher secret key in less than a second on a normal PC. Furthermore, we make some remarks on the cipher’s key schedule and discuss some properties of ci- phers with similar algebraic structure to Hermes8. Keywords: Hermes8, Stream Cipher, Cryptanalysis. 1 Introduction Hermes8 is one of the 34 stream ciphers submitted to eSTREAM, the ECRYPT Stream Cipher Project [3]. The cipher has a simple byte-oriented design, con- sisting of substitutions and shifts of the state register bytes. Two versions of the cipher have been proposed. Originally, the cipher Hermes8 [6] was submitted as candidate to eSTREAM. Although no weaknesses of Hermes8 were found dur- ing the first phase of evaluation, the cipher did not seem to present satisfactory performance in either software or hardware [4]. As a result, a slightly modified version of the cipher, named Hermes8F [7], was submitted for consideration dur- ing the second phase of eSTREAM. -
RC4-2S: RC4 Stream Cipher with Two State Tables
RC4-2S: RC4 Stream Cipher with Two State Tables Maytham M. Hammood, Kenji Yoshigoe and Ali M. Sagheer Abstract One of the most important symmetric cryptographic algorithms is Rivest Cipher 4 (RC4) stream cipher which can be applied to many security applications in real time security. However, RC4 cipher shows some weaknesses including a correlation problem between the public known outputs of the internal state. We propose RC4 stream cipher with two state tables (RC4-2S) as an enhancement to RC4. RC4-2S stream cipher system solves the correlation problem between the public known outputs of the internal state using permutation between state 1 (S1) and state 2 (S2). Furthermore, key generation time of the RC4-2S is faster than that of the original RC4 due to less number of operations per a key generation required by the former. The experimental results confirm that the output streams generated by the RC4-2S are more random than that generated by RC4 while requiring less time than RC4. Moreover, RC4-2S’s high resistivity protects against many attacks vulnerable to RC4 and solves several weaknesses of RC4 such as distinguishing attack. Keywords Stream cipher Á RC4 Á Pseudo-random number generator This work is based in part, upon research supported by the National Science Foundation (under Grant Nos. CNS-0855248 and EPS-0918970). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author (s) and do not necessarily reflect the views of the funding agencies or those of the employers. M. M. Hammood Applied Science, University of Arkansas at Little Rock, Little Rock, USA e-mail: [email protected] K. -
Hardware Implementation of the Salsa20 and Phelix Stream Ciphers
Hardware Implementation of the Salsa20 and Phelix Stream Ciphers Junjie Yan and Howard M. Heys Electrical and Computer Engineering Memorial University of Newfoundland Email: {junjie, howard}@engr.mun.ca Abstract— In this paper, we present an analysis of the digital of battery limitations and portability, while for virtual private hardware implementation of two stream ciphers proposed for the network (VPN) applications and secure e-commerce web eSTREAM project: Salsa20 and Phelix. Both high speed and servers, demand for high-speed encryption is rapidly compact designs are examined, targeted to both field increasing. programmable (FPGA) and application specific integrated circuit When considering implementation technologies, normally, (ASIC) technologies. the ASIC approach provides better performance in density and The studied designs are specified using the VHDL hardware throughput, but an FPGA is reconfigurable and more flexible. description language, and synthesized by using Synopsys CAD In our study, several schemes are used, catering to the features tools. The throughput of the compact ASIC design for Phelix is of the target technology. 260 Mbps targeted for 0.18µ CMOS technology and the corresponding area is equivalent to about 12,400 2-input NAND 2. PHELIX gates. The throughput of Salsa20 ranges from 38 Mbps for the 2.1 Short Description of the Phelix Algorithm compact FPGA design, implemented using 194 CLB slices to 4.8 Phelix is claimed to be a high-speed stream cipher. It is Gbps for the high speed ASIC design, implemented with an area selected for both software and hardware performance equivalent to about 470,000 2-input NAND gates. evaluation by the eSTREAM project. -
A 32-Bit RC4-Like Keystream Generator
A 32-bit RC4-like Keystream Generator Yassir Nawaz1, Kishan Chand Gupta2 and Guang Gong1 1Department of Electrical and Computer Engineering University of Waterloo Waterloo, ON, N2L 3G1, CANADA 2Centre for Applied Cryptographic Research University of Waterloo Waterloo, ON, N2L 3G1, CANADA [email protected], [email protected], [email protected] Abstract. In this paper we propose a new 32-bit RC4 like keystream generator. The proposed generator produces 32 bits in each iteration and can be implemented in software with reasonable memory requirements. Our experiments show that this generator is 3.2 times faster than original 8-bit RC4. It has a huge internal state and offers higher resistance against state recovery attacks than the original 8-bit RC4. We analyze the ran- domness properties of the generator using a probabilistic approach. The generator is suitable for high speed software encryption. Keywords: RC4, stream ciphers, random shuffle, keystream generator. 1 Introduction RC4 was designed by Ron Rivest in 1987 and kept as a trade secret until it leaked in 1994. In the open literatures, there is very small number of proposed keystream generator that are not based on shift registers. An interesting design approach of RC4 which have originated from exchange- shuffle paradigm [10], is to use a relatively big table/array that slowly changes with time under the control of itself. As discussed by Goli´c in [5], for such a generator a few general statistical properties of the keystream can be measured by statistical tests and these criteria are hard to establish theoretically. -
Iso/Iec 18033-4:2005(E)
This preview is downloaded from www.sis.se. Buy the entire standard via https://www.sis.se/std-906455 INTERNATIONAL ISO/IEC STANDARD 18033-4 First edition 2005-07-15 Information technology — Security techniques — Encryption algorithms — Part 4: Stream ciphers Technologies de l'information — Techniques de sécurité — Algorithmes de chiffrement — Partie 4: Chiffrements en flot Reference number ISO/IEC 18033-4:2005(E) © ISO/IEC 2005 This preview is downloaded from www.sis.se. Buy the entire standard via https://www.sis.se/std-906455 ISO/IEC 18033-4:2005(E) PDF disclaimer This PDF file may contain embedded typefaces. In accordance with Adobe's licensing policy, this file may be printed or viewed but shall not be edited unless the typefaces which are embedded are licensed to and installed on the computer performing the editing. In downloading this file, parties accept therein the responsibility of not infringing Adobe's licensing policy. The ISO Central Secretariat accepts no liability in this area. Adobe is a trademark of Adobe Systems Incorporated. Details of the software products used to create this PDF file can be found in the General Info relative to the file; the PDF-creation parameters were optimized for printing. Every care has been taken to ensure that the file is suitable for use by ISO member bodies. In the unlikely event that a problem relating to it is found, please inform the Central Secretariat at the address given below. © ISO/IEC 2005 All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm, without permission in writing from either ISO at the address below or ISO's member body in the country of the requester. -
Generic Attacks on Stream Ciphers
Generic Attacks on Stream Ciphers John Mattsson Generic Attacks on Stream Ciphers 2/22 Overview What is a stream cipher? Classification of attacks Different Attacks Exhaustive Key Search Time Memory Tradeoffs Distinguishing Attacks Guess-and-Determine attacks Correlation Attacks Algebraic Attacks Sidechannel Attacks Summary Generic Attacks on Stream Ciphers 3/22 What is a stream cipher? Input: Secret key (k bits) Public IV (v bits). Output: Sequence z1, z2, … (keystream) The state (s bits) can informally be defined as the values of the set of variables that describes the current status of the cipher. For each new state, the cipher outputs some bits and then jumps to the next state where the process is repeated. The ciphertext is a function (usually XOR) of the keysteam and the plaintext. Generic Attacks on Stream Ciphers 4/22 Classification of attacks Assumed that the attacker has knowledge of the cryptographic algorithm but not the key. The aim of the attack Key recovery Prediction Distinguishing The information available to the attacker. Ciphertext-only Known-plaintext Chosen-plaintext Chosen-chipertext Generic Attacks on Stream Ciphers 5/22 Exhaustive Key Search Can be used against any stream cipher. Given a keystream the attacker tries all different keys until the right one is found. If the key is k bits the attacker has to try 2k keys in the worst case and 2k−1 keys on average. An attack with a higher computational complexity than exhaustive key search is not considered an attack at all. Generic Attacks on Stream Ciphers 6/22 Time Memory Tradeoffs (state) Large amounts of precomputed data is used to lower the computational complexity.