Allbridge's maintainers, with support from Stellar Development Foundation, engaged with Quarkslab to perform an audit of Allbridge Core implementation in the Stellar ecosystem. This new implementation uses Stellar's smart contracts platform: Soroban.

Mithril Security engaged a collaboration with Quarkslab to perform an audit of the BlindAI-preview, now known as BlindAI Core, which is an open-source confidential computing solution for querying and deploying AI models while guaranteeing data privacy. The goal of the audit was to evaluate the BlindAI resiliency based on the definition of a threat model after a refresh on the latest state-of-the-art.

Falco's maintainers, with support from Cloud Native Computing Foundation, engaged with Quarkslab to perform an audit of Falco, an open-source cloud-native runtime security tool. The goal of the audit was to assist the Falco maintainers to increase their security posture using static and dynamic analysis (fuzzing in particular) and was organized by Open Source Technology Improvement Fund, Inc.

Parity Tech mandated Quarkslab to audit XCM version 2 (XCMv2), a cross consensus communication mechanism. This messaging protocol is a cornerstone of the Polkadot ecosystem as it enables communications between chains on a network. This blog post summarizes few security aspects related to this technology and its implementation. The full audit report is available in PDF format at the end of this article.

The Litecoin Foundation mandated Quarkslab to audit the implementation of the MimbleWimble protocol in the Litecoin blockchain. This protocol acts as a sidechain in which privacy of the transactions is improved compared to the privacy on the classical chain.

Oxen [1] mandated Quarkslab to perform an audit of their instant messaging solution Session [2]. This application, forked from Signal, aims to improve users privacy by using an onion routing mechanism [3]. This mechanism differs from Tor's one by requiring a deposit in their own cryptocurrency to operate a Service Node (Snode [4] ), the Oxen equivalent of a Tor Entry, Relay or Exit Node. While reviewing the architecture of this solution, we found some issues and provided recommendations to improve parts of the implementations.

The Ethereum Foundation mandated Quarkslab to perform an audit of the herumi libraries. They provide an API to perform BLS signatures, one of the core components of the new iteration of the Ethereum blockchain, named Ethereum 2.0. While reviewing the architecture of these libraries, their back ends and the adherence with the ongoing RFCs to standardize BLS signature usage, we found some issues primarily regarding their design. Although these are not considered critical, they impact the overall reliability of the libraries. We provide recommendations to improve the design of the libraries, the readability of the code and the usability of both projects.

Ansible is an open-source software automating configuration management and software deployment. Ansible is used in Quarkslab to manage our infrastructure and in our product Irma. In order to have an idea of the security of Ansible, we conducted a security assessment. This blogpost presents our findings.

The Tari Labs mandated Quarkslab to perform a cryptographic and security assessment of the dalek libraries. One of the Tari Labs' projects is to implement the Tari protocol, a decentralised assets protocol. It relies on some of the dalek libraries, especially the cryptographic primitives, provided by subtle and curve25519-dalek. Moreover, the use of Bulletproofs [6], and its implementation by the authors of the dalek libraries, will allow them to enable efficient confidential transactions on the blockchain in a near future.

We only found some minor issues. We also provided recommendations on the usage of the libraries and third-party libraries.

Quarkslab's team performed a cryptographic and security assessment of the Monero Research Lab’s new Proof-of-Work algorithm, called RandomX [1]. RandomX is a proof-of-work algorithm that is optimized for general-purpose CPUs. RandomX uses random code execution together with several memory-hard techniques to minimize the efficiency advantage of specialized hardware. We only found minor inconsistencies and formulated a few recommendations. These recommendations are mainly relevant when using alternative configurations but they are of less importance with the current configuration and usage of RandomX. The full report of the assessment can be found at the following address: [2]