# Difference between revisions of "GenericAttacksMerkleDamgaard"

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has little control over the chaining variables $cv_1$ and $cv_2$. | has little control over the chaining variables $cv_1$ and $cv_2$. | ||

Such an algorithm is not known to date. | Such an algorithm is not known to date. | ||

+ | |||

+ | <bibtex> | ||

+ | @inproceedings{eurocryptKelseyK06, | ||

+ | author = {John Kelsey and Tadayoshi Kohno}, | ||

+ | title = {Herding Hash Functions and the Nostradamus Attack}, | ||

+ | booktitle = {EUROCRYPT}, | ||

+ | year = {2006}, | ||

+ | pages = {183-200}, | ||

+ | abstract = {In this paper, we develop a new attack on Damgård-Merkle hash functions, called the herding attack, in which an attacker who can find many collisions on the hash function by brute force can first provide the hash of a message, and later “herd” any given starting part of a message to that hash value by the choice of an appropriate suffix. We focus on a property which hash functions should have–Chosen Target Forced Prefix (CTFP) preimage resistance–and show the distinction between Damgård-Merkle construction hashes and random oracles with respect to this property. We describe a number of ways that violation of this property can be used in arguably practical attacks on real-world applications of hash functions. An important lesson from these results is that hash functions susceptible to collision-finding attacks, especially brute-force collision-finding attacks, cannot in general be used to prove knowledge of a secret value.}, | ||

+ | editor = {Serge Vaudenay}, | ||

+ | volume = {4004}, | ||

+ | series = {LNCS}, | ||

+ | publisher = {Springer}, | ||

+ | isbn = {3-540-34546-9}, | ||

+ | url = {http://dx.doi.org/10.1007/11761679_12}, | ||

+ | } | ||

+ | </bibtex> | ||

---- | ---- |

## Revision as of 11:16, 11 March 2008

On this page, we describe attacks that apply on hash function that are designed according to the Merkle-Damgaard principle. Attacks that are even more generic and apply on all hash functions are described on this page

# 1 Collision style Attacks

In case a hash function is not considered as a black box, but built from compression functions (which in turn are considered as black boxes at this point), multi-collisions can be constructed more efficiently. Ideally, the effort to find $2^t$ single collisions should grow according to the birthday paradox: for $t \ll n/2$ the effort should grow almost linearly with each additional collision. What Joux showed in 2004~\cite{} is that for iterated constructions the effort to find a $2^t$-multicollision is actually $t*2^{n/2}$. The idea is to simply concatenate $t$ collisions found by a birthday attack (or by any other mean like shortcut attacks for that matter). Since each collision allows to pick a message out of a pair of messages, and this choice is available $t$ times, a set of $2^t$ different messages consisting of $t$ message blocks can be constructed that all lead to the same hash value.

An application of Joux's multicollisions (also given in~\cite{}) is
the analysis of concatenated constructions. Assuming two hash
functions of output size $n$ each whose outputs is concatenated, one
would ideally expect a security of $2^n$ against birthday based
collision search attacks. Generating a $2^{n/2}$ multicollision for
one of the hash functions is however enough to find a collision in
the concatenated construction. This has a total cost of
$2^{n/2+log(n)}$.

As a historic note, it should be mentioned that Coppersmith's attack in 1985~\cite{DBLP:conf/crypto/Coppersmith85} on the Davies-Price variant~\cite{} of Rabin's scheme~\cite{} builds already on exactly this idea.

*Mridul Nandi, Douglas R. Stinson* - **Multicollision Attacks on Some Generalized Sequential Hash
**

**
Functions**

- IEEE Transactions on Information Theory 53(2):759-767,2007
- http://dx.doi.org/10.1109/TIT.2006.889721

Bibtex**Author :**Mridul Nandi, Douglas R. Stinson**Title :**Multicollision Attacks on Some Generalized Sequential Hash Functions**In :**IEEE Transactions on Information Theory -**Address :****Date :**2007

# 2 Second Preimage Attacks

Discoveries about second preimage attacks on iterated hash functions span the last three decades. Merkle notes in 1979 that for messages of length $2^k$, the same number of different target hash values will speed-up the search for second preimages (of potentially different length) to $2^{n-k}$ trials. \todo{Winternitz,lai}.

One of the reasons to include the message length as part of the
message to be hashed in constructions since then, is to prevent
these type of attacks. However, Dean~\cite{} describes in 1999 a way
to circumvent this measure by used so-called expandable messages.
Expandable messages are a set of messages of different lengths that
all yield the same intermediate hash value.

Dean's construction only works for compression functions that have easily constructed fixed-points, \ie where it is easy to find a message block and an input chaining value that results into the same output chaining value. Many popular hash function construction indeed do have this property. In 2005, Kelsey and Schneier managed to remove this constraint and gave an algorithm to construct expandable messages for any compression function with an $n$-bit intermediate value. Their idea is to construct multicollisions out of collisions between message blocks of different length. From that, again example messages can be constructed and hence the search for second preimages is again of order $2^{n-k+1}$ word.

*John Kelsey, Bruce Schneier* - **Second Preimages on n-Bit Hash Functions for Much Less than 2$^{\mbox{n}}$ Work**

- EUROCRYPT 3494:474-490,2005
- http://dx.doi.org/10.1007/11426639_28

Bibtex**Author :**John Kelsey, Bruce Schneier**Title :**Second Preimages on n-Bit Hash Functions for Much Less than 2$^{\mbox{n}}$ Work**In :**EUROCRYPT -**Address :****Date :**2005

# 3 Preimage Attacks

Herding attacks are a special kind of preimage attack, in the sense that an additional assumption is being made for the attack to work. The basic scenario in which herding attacks are applicable is as follows. At the cost of a pre-computation step, an attacker can commit to a digest of a hash function without yet knowing the input. In \cite{Kelsey2005HerdingHashFunctionsa}, this attack is described and shows that for all iterated hash functions the complexity is less than one would expect from an ideal hash function.

\begin{definition}[Resistance against herding attacks] Given a hash function $h$, the attacker may choose a digest $H$. If she is given $P$, it should not be possible to find $S$ such that $h(P||S)=H$ is considerably faster than by $2^n$ invocations of $h$. \end{definition}

For short suffixes, the workfactor for a herding attack on an iterative hash functions as shown in \cite{Kelsey2005HerdingHashFunctionsa} is $2^{(2n-5)/3}$. First a so-called diamond structure is built in a precomputation phase that results in a particular digest $H$. After $P$ is given to the attacker, a linking message $S_1$ is searched that connects $P$ with one of the edges of the diamond structure. Let's denote the path between the found entry point in the diamond structure and the digest $H$ at its end $S_2$, then the result string $S$ such that $h(P||S)=H$ is $S=S_1 || S_2$.

Besides observing this theoretical weakness, we can also consider
the feasibility in practice of this attack. In the case of SHA-1,
and without partial knowledge of $P$, a pre-computation effort of
$2^{107}$ would be needed to compute $H$. This requires about
$2^{60}$ bits of storage for the required data-structure.
Afterwards, $2^{107}$ effort would be needed to compute $S$ given a
particular $P$, by search for a linking message block. This amounts
to a total running time of $2^{108}$. If partial knowledge of $P$
exists (as is the case when facing the challenge of predicting the
outcome of presidential elections when MD5 is
used~\cite{Stevens2008}), the attack can be much faster.

In order to exploit dedicated collision-search attacks on SHA-1, a collision search which is faster than about $2^{55.5}$ would be needed. Such a fast collision search would need to find a pair $(m,m^*)$ such that $h_c(cv_1,m)=h_c(cv_2,m^*)$ where the attacker has little control over the chaining variables $cv_1$ and $cv_2$. Such an algorithm is not known to date.

*John Kelsey, Tadayoshi Kohno* - **Herding Hash Functions and the Nostradamus Attack**

- EUROCRYPT 4004:183-200,2006
- http://dx.doi.org/10.1007/11761679_12

Bibtex**Author :**John Kelsey, Tadayoshi Kohno**Title :**Herding Hash Functions and the Nostradamus Attack**In :**EUROCRYPT -**Address :****Date :**2006