MaxKB 安全漏洞

MaxKB is a 1Panel-dev open source open source knowledge base question and answer system based on a large language model and RAG. A security vulnerability exists in MaxKB 1.10.7 and earlier versions, which stems from a CSV injection in the component Knowledge Base Module...

CVE-2025-4546: Improper Neutralization of Formula Elements in a CSV File

A vulnerability was found in 1Panel-dev MaxKB up to 1.10.7. It has been declared as critical. Affected by this vulnerability is an unknown functionality of the component Knowledge Base Module. The manipulation leads to csv injection. The attack can be launched remotely. The exploit has been...

PT-2025-20668 · Unknown · 1Panel-Dev Maxkb

Name of the Vulnerable Software and Affected Versions: 1Panel-dev MaxKB versions up to 1.10.7 Description: A critical issue was found in the Knowledge Base Module component, leading to csv injection. This issue can be exploited remotely. The estimated number of potentially affected devices...

Breaking the Sound Barrier Part I: Fuzzing CoreAudio with Mach Messages

Guest post by Dillon Franke, Senior Security Engineer, 20% time on Project Zero Every second, highly-privileged MacOS system daemons accept and process hundreds of IPC messages. In some cases, these message handlers accept data from sandboxed or unprivileged processes. In this blog post, I’ll...

Security Bulletin: Multiple security vulnerabilities affecting IBM Knowledge Catalog for IBM Cloud Pak for Data

Summary Multiple security vulnerabilities impacting IBM Knowledge Catalog for IBM Cloud Pak for Data. These vulnerabilities have been addressed. Vulnerability Details CVEID:CVE-2024-11393 DESCRIPTION: Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Executi...

Security Bulletin: Multiple security vulnerabilities affecting IBM Knowledge Catalog for IBM Cloud Pak for Data

Summary Multiple security vulnerabilities impacting IBM Knowledge Catalog for IBM Cloud Pak for Data. These vulnerabilities have been addressed. Vulnerability Details CVEID:CVE-2023-45133 DESCRIPTION: Babel could allow a local attacker to execute arbitrary code on the system, caused by a flaw in...

DEBIAN-CVE-2025-37828

In the Linux kernel, the following vulnerability has been resolved: scsi: ufs: mcq: Add NULL check in ufshcdmcqabort A race can occur between the MCQ completion path and the abort handler: once a request completes, blkmqfreerequest sets rq-mqhctx to NULL, meaning the subsequent ufshcdmcqreqtohwq...

FedTDP: a Privacy-Preserving and Unified Framework for Trajectory Data Preparation Via Federated Learning

Trajectory data, which capture the movement patterns of people and vehicles over time and space, are crucial for applications like traffic optimization and urban planning. However, issues such as noise and incompleteness often compromise data quality, leading to inaccurate trajectory analyses and...

A Survey on Privacy Risks and Protection in Large Language Models

Although Large Language Models LLMs have become increasingly integral to diverse applications, their capabilities raise significant privacy concerns. This survey offers a comprehensive overview of privacy risks associated with LLMs and examines current solutions to mitigate these challenges. Firs...

How to Backdoor the Knowledge Distillation

Knowledge distillation has become a cornerstone in modern machine learning systems, celebrated for its ability to transfer knowledge from a large, complex teacher model to a more efficient student model. Traditionally, this process is regarded as secure, assuming the teacher model is clean. This...

VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup

Despite differential privacy DP often being considered the de facto standard for data privacy, its realization is vulnerable to unfaithful execution of its mechanisms by servers, especially in distributed settings. Specifically, servers may sample noise from incorrect distributions or generate...

Towards Fuzzing Zero-Knowledge Proof Circuits (Short Paper)

Whitepaper called Towards Fuzzing Zero-Knowledge Proof Circuits Short Paper...

Traceback of Poisoning Attacks to Retrieval-Augmented Generation

Large language models LLMs integrated with retrieval-augmented generation RAG systems improve accuracy by leveraging external knowledge sources. However, recent research has revealed RAG's susceptibility to poisoning attacks, where the attacker injects poisoned texts into the knowledge database,...

Federated One-Shot Learning with Data Privacy and Objective-Hiding

Privacy in federated learning is crucial, encompassing two key aspects: safeguarding the privacy of clients' data and maintaining the privacy of the federator's objective from the clients. While the first aspect has been extensively studied, the second has received much less attention. We present...

VApps: Verifiable Applications at Internet Scale

Blockchain technology promises a decentralized, trustless, and interoperable infrastructure. However, widespread adoption remains hindered by issues such as limited scalability, high transaction costs, and the complexity of maintaining coherent verification logic across different blockchain layer...

Hybrid Privacy Policy-Code Consistency Check Using Knowledge Graphs and LLMs

The increasing concern in user privacy misuse has accelerated research into checking consistencies between smartphone apps' declared privacy policies and their actual behaviors. Recent advances in Large Language Models LLMs have introduced promising techniques for semantic comparison, but these...

From Paper Trails to Trust on Tracks: Adding Public Transparency to Railways Via Zk-SNARKs

Railways provide a critical service and operate under strict regulatory frameworks for implementing changes or upgrades. Despite their impact on the public, these frameworks do not define means or mechanisms for transparency towards the public, leading to reduced trust and complex tracking...

Trusted Compute Units: a Framework for Chained Verifiable Computations

Blockchain and distributed ledger technologies DLTs facilitate decentralized computations across trust boundaries. However, ensuring complex computations with low gas fees and confidentiality remains challenging. Recent advances in Confidential Computing -- leveraging hardware-based Trusted...

PICO: Secure Transformers Via Robust Prompt Isolation and Cybersecurity Oversight

We propose a robust transformer architecture designed to prevent prompt injection attacks and ensure secure, reliable response generation. Our PICO Prompt Isolation and Cybersecurity Oversight framework structurally separates trusted system instructions from untrusted user inputs through dual...

NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation

Large Language Models LLM are typically trained on vast amounts of data from various sources. Even when designed modularly e.g., Mixture-of-Experts, LLMs can leak privacy on their sources. Conversely, training such models in isolation arguably prohibits generalization. To this end, we propose a...