Abstract Sponge hashing is a novel alternative to the popular Merkle-Damgård hashing design. The sponge construction has become increasingly popular in various applications, perhaps most notably, it underlies the SHA-3 hashing standard. Sponge hashing is parametrized by two numbers, r and c (bitrate and capacity, respectively), and by a fixed-size permutation on $$r+c$$ r + c bits. In this work, we study the collision resistance of sponge hashing instantiated with a random permutation by adversaries with arbitrary S -bit auxiliary advice input about the random permutation that make T online queries. Recent work by Coretti et al. (CRYPTO ’18) showed that such adversaries can find collisions (with respect to a random c -bit initialization vector) with advantage $$\Theta (ST^2/2^c + T^2/ 2^{r})$$ Θ ( S T 2 / 2 c + T 2 / 2 r ) . Although the above attack formally breaks collision resistance in some range of parameters, its practical relevance is limited since the resulting collision is very long (on the order of T blocks). Focusing on the task of finding short collisions, we study the complexity of finding a B -block collision for a given parameter $$B\ge 1$$ B ≥ 1 . We give several new attacks and limitations. Most notably, we give a new attack that results in a single-block collision and has advantage $$\begin{aligned} \Omega \left( \left( \frac{S^{2}T}{2^{2c}}\right) ^{2/3} + \frac{T^2}{2^r}\right) . \end{aligned}$$ Ω S 2 T 2 2 c 2 / 3 + T 2 2 r . In certain range of parameters (e.g., $$ST^2>2^c$$ S T 2 > 2 c ), our attack outperforms the previously-known best attack. To the best of our knowledge, this is the first natural application for which sponge hashing is provably less secure than the corresponding instance of Merkle-Damgård hashing. Our attack relies on a novel connection between single-block collision finding in sponge hashing and the well-studied function inversion problem. We also give a general attack that works for any $$B\ge 2$$ B ≥ 2 and has advantage $$\Omega ({STB}/{2^{c}} + {T^2}/{2^{\min \{r,c\}}})$$