AhsayCBS Flaws Exploited to Deploy Web Shells Get New Fixes After Incomplete Patches
CVE-2026-105133 · CVE-2026-105134
Singapore-based Ahsay Backup has released security updates to address two security flaws in AhsayCBS that have been expl
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Singapore-based Ahsay Backup has released security updates to address two security flaws in AhsayCBS that have been expl
The Model Context Protocol (MCP) standardizes how AI agents invoke external tools. MCP servers expose tools through a de
We study the problem of approximately counting subgraphs under local node differential privacy (LNDP), a recently introd
Step-level guards decide, before each tool call, whether an agent's next action is safe given the user's request and the
AI agents take actions through tools. Some actions are sensitive, so guards that supervise them must themselves be evalu
Mobile apps have become ubiquitous in daily life. Despite communication encryption, app fingerprinting (AF) attacks can
Secure Multi-Party Computation (MPC) is an important enabling technology for data privacy in modern distributed applicat
Language embeddings are increasingly used in recommenders to represent item content, but their privacy risks remain poor
Federated learning (FL) is increasingly used to adapt a pretrained, centrally fine-tuned model to data that remain on us
Privacy-preserving protocols can repair a vulnerability without establishing whether it was exploited beforehand, even w
Modern platforms such as Ethereum and Polkadot nowadays execute Byzantine fault-tolerant consensus protocols over large
Tokenized equities trade while listed markets are closed, so their marks could improve off-hours measurement along layer
Let $E$ be chosen uniformly from the geometric isomorphism classes of supersingular elliptic curves over $\overline{\mat
Matoi separates reusable consequence evidence from current execution authority and durable occurrence history. Its finit
Field nodes run image classifiers locally, exposing a first-class asset, the trained model, to theft. Trusted-execution
Clean-label backdoor poisoning is a threat to machine learning-based malware classifiers because poisoned samples can be
Multiparty Private Simultaneous Messages (PSM), also known as Decomposable Randomized Encoding (DRE) or information-theo
Existing federated data condensation methods face privacy risks, as uploaded synthetic data may preserve sensitive infor
Let $m\ge5$ be odd and $q=2^m$. For every odd $r$ with $3\le r<m$ and $\gcd(r,m)=1$ we give the reduced polynomial $P_{m
Approximate nearest neighbors search (ANNS) over cloud-hosted vector databases raises a critical privacy concern: the qu