International Association
for Cryptologic Research

The Fiat-Shamir transform is one of the most widely applied methods for secure signature construction. Fiat-Shamir starts with an interactive zero-knowledge identification protocol and transforms this via a hash function into a non-interactive signature. The protocol's zero-knowledge property ensures that a signature does not leak information on its secret key $\vec s$, which is achieved by blinding $\vec s$ via proper randomness~$\vec y$. Most prominent Fiat-Shamir examples are DSA signatures and the new post-quantum standard Dilithium. In practice, DSA signatures have experienced fatal attacks via leakage of a few bits of the randomness~$\vec y$ per signature. Similar attacks now emerge for lattice-based signatures, such as Dilithium. We build on, improve and generalize the pioneering leakage attack on Dilithium by Liu, Zhou, Sun, Wang, Zhang, and Ming. {In theory}, their original attack can recover a 256-dimensional subkey of Dilithium-II (aka ML-DSA-44) from leakage in a single bit of $\vec{y}$ per signature, in any bit position $j \geq 6$. However, the memory requirement of their attack grows exponentially in the bit position $j$ of the leak. As a consequence, if the bit leak is in a high-order position, then their attack is infeasible. In our improved attack, we introduce a novel transformation, that allows us to get rid of the exponential memory requirement. Thereby, we make the attack feasible for \emph{all} bit positions $j \geq 6$. Furthermore, our novel transformation significantly reduces the number of required signatures in the attack. The attack applies more generally to all Fiat-Shamir-type lattice-based signatures. For a signature scheme based on module LWE over an $\ell$-dimensional module, the attack uses a 1-bit leak per signature to efficiently recover a $\frac{1}{\ell}$-fraction of the secret key. In the ring LWE setting, which can be seen as module LWE with $\ell = 1$, the attack thus recovers the whole key. For Dilithium-II, which uses $\ell = 4$, knowledge of a $\frac{1}{4}$-fraction of the 1024-dimensional secret key lets its security estimate drop significantly from $128$ to $84$ bits.

The McEliece cryptosystem is a strong contender for post-quantum schemes, including key encapsulation for confidentiality of key exchanges in network protocols. A McEliece secret key is a structured parity check matrix that is transformed via Gaussian elimination into an unstructured public key. We show that this transformation is highly critical with respect to side-channel leakage. We assume leakage of the elementary row operations during Gaussian elimination, motivated by McEliece implementations in the cryptographic libraries Classic McEliece and Botan.We propose a novel decoding algorithm to reconstruct a secret key from its public key with information from a Gaussian transformation leak. Even if the obtained side-channel leakage is extremely noisy, i.e., each bit is flipped with probability as high as r ≈ 0.4, we succeed to recover the secret key in a matter of minutes for all proposed (Classic) McEliece instantiations. Remarkably, for high-security McEliece parameters, our attack is more powerful in the sense that it can tolerate even larger r . We demonstrate our attack on the constant-time reference implementation of Classic McEliece in a single-trace setting, using an STM32L592 ARM processor.Our result stresses the necessity of properly protecting highly structured code-based schemes such as McEliece against side-channel leakage.

All modern lattice-based schemes build on variants of the LWE problem. Information leakage of the LWE secret $\mathbf{s} \in \mathbb{Z}_q^n$ is usually modeled via so-called hints, i.e., inner products of $\mathbf{s}$ with some known vector. At Crypto`20, Dachman-Soled, Ducas, Gong and Rossi (DDGR) defined among other so-called perfect hints and modular hints. The trailblazing DDGR framework allows to integrate and combine hints successively into lattices, and estimates the resulting LWE security loss. We introduce a new methodology to integrate and combine an arbitrary number of perfect and modular in a single stroke. As opposed to DDGR's, our methodology is significantly more efficient in constructing lattice bases, and thus easily allows for a large number of hints up to cryptographic dimensions -- a regime that is currently impractical in DDGR's implementation. The efficiency of our method defines a large LWE parameter regime, in which we can fully carry out attacks faster than DDGR can solely estimate them. The benefits of our approach allow us to practically determine which number of hints is sufficient to efficiently break LWE-based lattice schemes in practice. E.g., for mod-$q$ hints, i.e., modular hints defined over $\Z_q$, we reconstruct \Kyber-512 secret keys via LLL reduction (only!) with an amount of $449$ hints. Our results for perfect hints significantly improve over these numbers, requiring for LWE dimension $n$ roughly $n/2$ perfect hints. E.g., we reconstruct via LLL reduction \Kyber-512 keys with merely $234$ perfect hints. If we resort to stronger lattice reduction techniques like BKZ, we need even fewer hints. For mod-$q$ hints our method is extremely efficient, e.g., taking total time for constructing our lattice bases and secret key recovery via LLL of around 20 mins for dimension 512. For perfect hints in dimension 512, we require around 3 hours. Our results demonstrate that especially perfect hints are powerful in practice, and stress the necessity to properly protect lattice schemes against leakage.

We define and analyze the Commutative Isogeny Hidden Number Problem which is the natural analogue of the Hidden Number Problem in the CSIDH and CSURF setting. In short, the task is as follows: Given two supersingular elliptic curves \(E_A\), \(E_B\) and access to an oracle that outputs some of the most significant bits of the \(\ensuremath{\mathsf{CDH}}\) of two curves, an adversary must compute the shared curve \(E_{AB}=\ensuremath{\mathsf{CDH}}(E_A,E_B)\). We show that we can recover \(E_{AB}\) in polynomial time by using Coppersmith's method as long as the oracle outputs \(\ensuremath{\frac{13}{24}} + \varepsilon \approx 54\%\) (CSIDH) and \(\ensuremath{\frac{31}{41}} + \varepsilon \approx 76\%\) (CSURF) of the most significant bits of the \(\ensuremath{\mathsf{CDH}}\), where $\varepsilon > 0$ is an arbitrarily small constant. To this end, we give a purely combinatorial restatement of Coppersmith's method, effectively concealing the intricate aspects of lattice theory and allowing for near-complete automation. By leveraging this approach, we attain recovery attacks with $\varepsilon$ close to zero within a few minutes of computation.

We address Partial Key Exposure attacks on CRT-RSA on secret exponents $d_p, d_q$ with small public exponent $e$. For constant $e$ it is known that the knowledge of half of the bits of one of $d_p, d_q$ suffices to factor the RSA modulus $N$ by Coppersmith's famous {\em factoring with a hint} result. We extend this setting to non-constant $e$. Somewhat surprisingly, our attack shows that RSA with $e$ of size $N^{\frac 1 {12}}$ is most vulnerable to Partial Key Exposure, since in this case only a third of the bits of both $d_p, d_q$ suffices to factor $N$ in polynomial time, knowing either most significant bits (MSB) or least significant bits (LSB). Let $ed_p = 1 + k(p-1)$ and $ed_q = 1 + \ell(q-1)$. On the technical side, we find the factorization of $N$ in a novel two-step approach. In a first step we recover $k$ and $\ell$ in polynomial time, in the MSB case completely elementary and in the LSB case using Coppersmith's lattice-based method. We then obtain the prime factorization of $N$ by computing the root of a univariate polynomial modulo $kp$ for our known $k$. This can be seen as an extension of Howgrave-Graham's {\em approximate divisor} algorithm to the case of {\em approximate divisor multiples} for some known multiple $k$ of an unknown divisor $p$ of $N$. The point of {\em approximate divisor multiples} is that the unknown that is recoverable in polynomial time grows linearly with the size of the multiple $k$. Our resulting Partial Key Exposure attack with known MSBs is completely rigorous, whereas in the LSB case we rely on a standard Coppersmith-type heuristic. We experimentally verify our heuristic, thereby showing that in practice we reach our asymptotic bounds already using small lattice dimensions. Thus, our attack is highly practical.

Let $(N,e)$ be an RSA public key, where $N=pq$ is the product of equal bitsize primes $p,q$. Let $d_p, d_q$ be the corresponding secret CRT-RSA exponents. Using a Coppersmith-type attack, Takayasu, Lu and Peng (TLP) recently showed that one obtains the factorization of $N$ in polynomial time, provided that $d_p, d_q \leq N^{0.122}$. Building on the TLP attack, we show the first {\em Partial Key Exposure} attack on short secret exponent CRT-RSA. Namely, let $N^{0.122} \leq d_p, d_q \leq N^{0.5}$. Then we show that a constant known fraction of the least significant bits (LSBs) of both $d_p, d_q$ suffices to factor $N$ in polynomial time. Naturally, the larger $d_p,d_q$, the more LSBs are required. E.g. if $d_p, d_q$ are of size $N^{0.13}$, then we have to know roughly a $\frac 1 5$-fraction of their LSBs, whereas for $d_p, d_q$ of size $N^{0.2}$ we require already knowledge of a $\frac 2 3$-LSB fraction. Eventually, if $d_p, d_q$ are of full size $N^{0.5}$, we have to know all of their bits. Notice that as a side-product of our result we obtain a heuristic deterministic polynomial time factorization algorithm on input $(N,e,d_p,d_q)$.