1 Introduction A function H: f0; 1g

Abstract. We introduce the notion of a weak ideal compression function, which is vulnerable to strong forms of attack, but is otherwise random. We show that such weak ideal compression functions can be used to create secure hash functions, thereby giving a design that can be used to eliminate attacks caused by undesirable properties of compression functions. We prove that the construction we give, which we call the “zipper hash, ” is ideal in the sense that the overall hash function is indistinguishable from a random oracle when implemented with these weak ideal building blocks. The zipper hash function is relatively simple, requiring two compression function evaluations per block of input, but it is not streamable. We also show how to create an ideal (strong) compression function from ideal weak compression functions, which can be used in the standard iterated way to make a streamable hash function. Keywords: Hash function, compression function, Merkle-Damg˚ard, ideal primitives, non-streamable hash functions, zipper hash.

In a recent paper, A. Joux [7] showed multicollision attacks on the classical iterated hash function. (A multicollision is a set of inputs whose hash values are same.) He also showed how the multicollision attacks can be used to get a collision attack on the concatenated hash function. In this paper, we first try to fix the attack by introducing a natural and wide class hash functions. However, we show that the multicollision attacks also exist in this general class. Thus, we rule out a natural and a wide class of hash functions as candidates for multicollision secure hash functions.

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Combined with the iterated constructions of Coron et al., our result leads to the first iterated construction of a hash function f0; 1g\Lambda ! f0; 1gn from a component function f0; 1gn! f0; 1gn that withstands all recently proposed generic attacks against iterated hash functions, like Joux's multi-collision attack, Kelsey and Schneier's second-preimage attack, and Kelsey and Kohno's herding attacks. 1 Introduction 1.1 Secret vs. Public Random Functions Primitives that provide some form of randomness are of central importance in cryptography, both as a primitive assumed to be given (e.g. a secret key), and as a primitive constructed from a weaker one to "behave like " a certain ideal random primitive (e.g. a random function), according to some security notion.

Some force inside the Hypercube occasionally manifests itself with deadly results.

Abstract. We develop a new generic long-message second preimage attack, based on combining the techniques in the second preimage attacks of Dean [8] and Kelsey and Schneier [16] with the herding attack of Kelsey and Kohno [15]. We show that these generic attacks apply to hash functions using the Merkle-Damgård construction with only slightly more work than the previously known attack, but allow enormously more control of the contents of the second preimage found. Additionally, we show that our new attack applies to several hash function constructions which are not vulnerable to the previously known attack, including the dithered hash proposal of Rivest [25], Shoup’s UOWHF[26] and the ROX hash construction [2]. We analyze the properties of the dithering sequence used in [25], and develop a time-memory tradeoff which allows us to apply our second preimage attack to a wide range of dithering sequences, including sequences which are much stronger than those in Rivest’s proposals. Finally, we show that both the existing second preimage attacks [8,16] and our new attack can be applied even more efficiently to multiple target messages; in general, given a set of many target messages with a total of 2 R message blocks, these second preimage attacks can find a second preimage for one of those target messages with no more work than would be necessary to find a second preimage for a single target message of 2 R message blocks.

We describe Fugue, a hash function supporting inputs of length upto 2 64 − 1 bits and hash outputs of length upto 512 bits. Notably, Fugue is not based on a compression function. Rather, it is directly a hash function that supports variable-length inputs. The starting point for Fugue is the hash function Grindahl, but it extends that design to protect against the kind of attacks that were developed for Grindahl, as well as earlier hash functions like SHA-1. A key enhancement is the design of a much stronger round function which replaces the AES round function of Grindahl, using better codes (over longer words) than the AES 4 × 4 MDS matrix. Also, Fugue makes judicious use of this new round function on a much larger internal state. The design of Fugue is proof-oriented: the various components are designed in such a way as to allow proofs of security, and yet be efficient to implement. As a result, we can prove that current attack methods cannot find collisions in Fugue any faster than the trivial birthday attack. Although the proof is computer assisted, the assistance is limited to computing ranks

Centera uses cryptographic hash functions as a means of addressing stored objects, thus creating a new class of data storage referred to as CAS (content addressed storage). Such hashing serves the useful function of providing a means of uniquely identifying data and providing a global handle to that data, referred to as the Content Address or CA. However, such a model begs the question: how certain can one be that a given CA is indeed unique? In this paper we describe fundamental concepts of cryptographic hash functions, such as collision resistance, preimage resistance, and second-preimage resistance. We then map these properties to the MD5 and SHA-256 hash algorithms, which are used to generate the Centera content address. Finally, we present a proof of the collision resistance of the Centera Content Address.

Abstract. We consider how to build an efficient compression function from a small number of random, noncompressing primitives. Our main goal is to achieve a level of collision resistance as close as possible to the optimal birthday bound. We present a 2n-to-n bit compression function based on three independent n-to-n bit random functions, each called only once. We show that if the three random functions are treated as black boxes then finding collisions requires Θ(2 n/2 /n c) queries for c ≈ 1. This result remains valid if two of the three random functions are replaced by a fixed-key ideal cipher in Davies-Meyer mode (i.e., EK(x) ⊕ x for permutation EK). We also give a heuristic, backed by experimental results, suggesting that the security loss is at most four bits for block sizes up to 256 bits. We believe this is the best result to date on the matter of building a collision-resistant compression function from non-compressing functions. It also relates to an open question from Black et al. (Eurocrypt’05), who showed that compression functions that invoke a single non-compressing random function cannot suffice. We also explore the relationship of our problem with that of doubling the output of a hash function and we show how our compression function can be used to double the output length of ideal hashes.