Ubuntu 24.04 LTS / 24.10 : Linux kernel (Azure) vulnerabilities (USN-7628-1)

"The remote Ubuntu 24.04 LTS / 24.10 host has a package installed that is affected by multiple vulnerabilities as referenced in the USN-7628-1 advisory. It was discovered that the CIFS network file system implementation in the Linux kernel did not properly verify the target namespace when handlin...

kconfig-safety-check

This is a tool for checking the security hardening options of the Linux kernel. It is a Python script that can be used to analyze the configuration of a Linux kernel and identify potential security vulnerabilities. The tool is designed to support various architectures, including X8664, X8632,...

welpwn

Introduction Pwnning is an art. welpwn is designed to make pwnning an art, freeing you from dozens of meaningless jobs. Features - Automatically get those magic values for you. - libc address - heap address - stack address - program address with PIE - canary - Support multi glibc debugging. - 2.1...

Ubuntu 24.04 LTS : Linux kernel (OEM) vulnerabilities (USN-7606-1)

"The remote Ubuntu 24.04 LTS host has a package installed that is affected by multiple vulnerabilities as referenced in the USN-7606-1 advisory. It was discovered that the CIFS network file system implementation in the Linux kernel did not properly verify the target namespace when handling upcall...

USN-7594-2: Linux kernel (Azure) vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - ARM32 architecture; - ARM64 architecture; - PowerPC architecture; - RISC-V architecture; - User-Mode Linux UML; - x...

Adversarial Threats in Quantum Machine Learning: a Survey of Attacks and Defenses

Quantum Machine Learning QML integrates quantum computing with classical machine learning, primarily to solve classification, regression and generative tasks. However, its rapid development raises critical security challenges in the Noisy Intermediate-Scale Quantum NISQ era. This chapter examines...

SAFER-D: a Self-Adaptive Security Framework for Distributed Computing Architectures

The rise of the Internet of Things and Cyber-Physical Systems has introduced new challenges on ensuring secure and robust communication. The growing number of connected devices increases network complexity, leading to higher latency and traffic. Distributed computing architectures DCAs have gaine...

LLMail-Inject: a Dataset from a Realistic Adaptive Prompt Injection Challenge

Indirect Prompt Injection attacks exploit the inherent limitation of Large Language Models LLMs to distinguish between instructions and data in their inputs. Despite numerous defense proposals, the systematic evaluation against adaptive adversaries remains limited, even when successful attacks ca...

JavelinGuard: Low-Cost Transformer Architectures for LLM Security

We present JavelinGuard, a suite of low-cost, high-performance model architectures designed for detecting malicious intent in Large Language Model LLM interactions, optimized specifically for production deployment. Recent advances in transformer architectures, including compact BERTDevlin et al...

Obfuscation-Resilient Binary Code Similarity Analysis Using Dominance Enhanced Semantic Graph

Binary code similarity analysis BCSA serves as a core technique for binary analysis tasks such as vulnerability detection. While current graph-based BCSA approaches capture substantial semantics and show strong performance, their performance suffers under code obfuscation due to the unstable...

Fingerprinting Deep Learning Models Via Network Traffic Patterns in Federated Learning

Federated Learning FL is increasingly adopted as a decentralized machine learning paradigm due to its capability to preserve data privacy by training models without centralizing user data. However, FL is susceptible to indirect privacy breaches via network traffic analysis-an area not explored in...

Transformers in Protein: a Survey

As protein informatics advances rapidly, the demand for enhanced predictive accuracy, structural analysis, and functional understanding has intensified. Transformer models, as powerful deep learning architectures, have demonstrated unprecedented potential in addressing diverse challenges across...

A Hitchhiker'S Guide to Privacy-Preserving Cryptocurrencies: a Survey on Anonymity, Confidentiality, and Auditability

Cryptocurrencies and central bank digital currencies CBDCs are reshaping the monetary landscape, offering transparency and efficiency while raising critical concerns about user privacy and regulatory compliance. This survey provides a comprehensive and technically grounded overview of...

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation

Retrieval-Augmented Generation RAG has proven effective in mitigating hallucinations in large language models by incorporating external knowledge during inference. However, this integration introduces new security vulnerabilities, particularly to poisoning attacks. Although prior work has explore...

CVE-2024-41949

biscuit-rust is the Rust implementation of Biscuit, an authentication and authorization token for microservices architectures. Third-party blocks can be generated without transferring the whole token to the third-party authority. Instead, a ThirdPartyBlock request can be sent, providing only the...

CVE-2020-13759

rust-vmm vm-memory before 0.1.1 and 0.2.x before 0.2.1 allows attackers to cause a denial of service loss of IP networking because readobj and writeobj do not properly access memory. This affects aarch64 with musl or glibc and x8664 with musl...

USN-7522-1 linux-azure-nvidia vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - RISC-V architecture; - x86 architecture; - Block layer subsystem; - Compute Acceleration Framework; - ACPI drivers;...

Ubuntu 24.04 LTS / 24.10 : Linux kernel vulnerabilities (USN-7521-1)

The remote Ubuntu 24.04 LTS / 24.10 host has a package installed that is affected by multiple vulnerabilities as referenced in the USN-7521-1 advisory. Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects...

Ubuntu 24.04 LTS : Linux kernel (Raspberry Pi Real-time) vulnerabilities (USN-7523-1)

"The remote Ubuntu 24.04 LTS host has a package installed that is affected by multiple vulnerabilities as referenced in the USN-7523-1 advisory. Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws i...

An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding

Binary code analysis plays a pivotal role in the field of software security and is widely used in tasks such as software maintenance, malware detection, software vulnerability discovery, patch analysis, etc. However, unlike source code, reverse engineers face significant challenges in understandi...