81 matches found
EUVD-2026-98026
Frappe ERPNext before 15.105.0 and 16.x before 16.15.0 contains a missing authorization vulnerability in certain document creation endpoints that fail to verify that the requesting portal user belongs to the target party. Authenticated portal users can send requests to these endpoints to create...
Thresholding Post-Quantum Signatures
Threshold signature schemes distribute the signing process among $T$ parties out of $N$. They enable a variety of applications and their research is also motivated by a recent NIST call. However, applications are dominated by pre-quantum signatures, which are more efficient but not secure in the...
WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks
Recent advances in persistent personal-agent frameworks are making human-centered agent networks realistic deployment targets: each user can be served by an AI agent that acts on the user's behalf, maintains state, and communicates with other agents through social and task relations. In these...
CVE-2026-59694
CVE-2026-59694 affects ZenHive mpp (Elixir library) when configured as the fee payer. The issue occurs in MPP.Tempo.Transaction.cosign_fee_payer/3, which re-signs client-supplied base fields of the 0x76 AASigned envelope verbatim, including the EIP-2930 access list, without validating length or c...
MCP-DPT: A Defense-Placement Taxonomy and Coverage Analysis for Model Context Protocol Security
The Model Context Protocol MCP enables large language models LLMs to dynamically discover and invoke third-party tools, significantly expanding agent capabilities while introducing a distinct security landscape. Unlike prompt-only interactions, MCP exposes pre-execution artifacts, shared context,...
Beyond the Hype: A Large-Scale Empirical Analysis of On-Chain Transactions in NFT Scams
Non-fungible tokens NFTs serve as a representative form of digital asset ownership and have attracted numerous investors, creators, and tech enthusiasts in recent years. However, related fraud activities, especially phishing scams, have caused significant property losses. There are many graph...
RUSTSEC-2025-0114 tandem_http_client is unmaintained
The tandem crates in https://github.com/sine-fdn are no longer maintained by the SINE Foundation. The repository has been archived. Recommended alternative We are continuing our work on SMPC by implementing our secure multi-party computation engine Polytune...
tandem_http_server is unmaintained
The tandem crates in https://github.com/sine-fdn are no longer maintained by the SINE Foundation. The repository has been archived. Recommended alternative We are continuing our work on SMPC by implementing our secure multi-party computation engine Polytune...
RUSTSEC-2025-0117 tandem is unmaintained
The tandem crates in https://github.com/sine-fdn are no longer maintained by the SINE Foundation. The repository has been archived. Recommended alternative We are continuing our work on SMPC by implementing our secure multi-party computation engine Polytune...
RUSTSEC-2025-0115 tandem_http_server is unmaintained
The tandem crates in https://github.com/sine-fdn are no longer maintained by the SINE Foundation. The repository has been archived. Recommended alternative We are continuing our work on SMPC by implementing our secure multi-party computation engine Polytune...
EUVD-2024-0171
Malicious code in bioql PyPI...
EUVD-2024-0829
Malicious code in bioql PyPI...
EUVD-2024-0168
Malicious code in bioql PyPI...
EUVD-2024-0813
Malicious code in bioql PyPI...
EUVD-2024-0170
Malicious code in bioql PyPI...
EUVD-2023-0256
Malicious code in bioql PyPI...
EUVD-2024-0169
Malicious code in bioql PyPI...
A Survey on Privacy-Preserving Computing in the Automotive Domain
As vehicles become increasingly connected and autonomous, they accumulate and manage various personal data, thereby presenting a key challenge in preserving privacy during data sharing and processing. This survey reviews applications of Secure Multi-Party Computation MPC and Homomorphic Encryptio...
Efficient Private Inference Based on Helper-Assisted Malicious Security Dishonest Majority MPC
Private inference based on Secure Multi-Party Computation MPC addresses data privacy risks in Machine Learning as a Service MLaaS. However, existing MPC-based private inference frameworks focuses on semi-honest or honest majority models, whose threat models are overly idealistic, while malicious...
Cascade: Token-Sharded Private LLM Inference
As LLMs continue to increase in parameter size, the computational resources required to run them are available to fewer parties. Therefore, third-party inference services -- where LLMs are hosted by third parties with significant computational resources -- are becoming increasingly popular...