Important: Red Hat Security Advisory: grafana security update

An update for grafana is now available for Red Hat Enterprise Linux 8.4 Advanced Mission Critical Update Support. Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating,...

ALSA-2025:8667 Moderate: grafana security update

Grafana is an open source, feature rich metrics dashboard and graph editor for Graphite, InfluxDB & OpenTSDB. Security Fixes: net/http: Request smuggling due to acceptance of invalid chunked data in net/http CVE-2025-22871 For more details about the security issues, including the impact, a CVSS...

Exposing Hidden Backdoors in NFT Smart Contracts: a Static Security Analysis of Rug Pull Patterns

The explosive growth of Non-Fungible Tokens NFTs has revolutionized digital ownership by enabling the creation, exchange, and monetization of unique assets on blockchain networks. However, this surge in popularity has also given rise to a disturbing trend: the emergence of rug pulls - fraudulent...

Moderate: grafana security update

Grafana is an open source, feature rich metrics dashboard and graph editor for Graphite, InfluxDB & OpenTSDB. Security Fixes: net/http: Request smuggling due to acceptance of invalid chunked data in net/http CVE-2025-22871 For more details about the security issues, including the impact, a CVSS...

SoK: Data Reconstruction Attacks against Machine Learning Models: Definition, Metrics, and Benchmark

Data reconstruction attacks, which aim to recover the training dataset of a target model with limited access, have gained increasing attention in recent years. However, there is currently no consensus on a formal definition of data reconstruction attacks or appropriate evaluation metrics for...

MAL-2025-4746 Malicious code in infra-metrics (npm)

The package communicates with a domain associated with malicious activity. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware e834dce6687a994025a897f7ab4b0c72fb30033eafd9999cbea3608f5eb6a268 Any computer that has this package installed or running should be considered...

The Scales of Justitia: a Comprehensive Survey on Safety Evaluation of LLMs

With the rapid advancement of artificial intelligence technology, Large Language Models LLMs have demonstrated remarkable potential in the field of Natural Language Processing NLP, including areas such as content generation, human-computer interaction, machine translation, and code generation,...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that stems from a qlen count error in schhfsc, which could lead to inconsistent queue statistics...

Redefining Cyber Value: Why Business Impact Should Lead the Security Conversation

Security teams face growing demands with more tools, more data, and higher expectations than ever. Boards approve large security budgets, yet still ask the same question: what is the business getting in return? CISOs respond with reports on controls and vulnerability counts – but executives want ...

Seven Security Challenges That Must Be Solved in Cross-Domain Multi-Agent LLM Systems

Large language models LLMs are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership. Yet, cross-domain...

Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents

The rise of Large Language Models LLMs has revolutionized Graphical User Interface GUI automation through LLM-powered GUI agents, yet their ability to process sensitive data with limited human oversight raises significant privacy and security risks. This position paper identifies three key risks ...

Urania: Differentially Private Insights into AI Use

We introduce $Urania$, a novel framework for generating insights about LLM chatbot interactions with rigorous differential privacy DP guarantees. The framework employs a private clustering mechanism and innovative keyword extraction methods, including frequency-based, TF-IDF-based, and LLM-guided...

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving toward Standardisation

High-quality real-world data RWD is essential for healthcare but must be transformed to comply with the General Data Protection Regulation GDPR. GDPRs broad definitions of quasi-identifiers QIDs and sensitive attributes SAs complicate implementation. We aim to standardise RWD anonymisation for GD...

A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges

IDS aims to protect computer networks from security threats by detecting, notifying, and taking appropriate action to prevent illegal access and protect confidential information. As the globe becomes increasingly dependent on technology and automated processes, ensuring secured systems,...

Are Crypto Ecosystems (De)Centralizing? A Framework for Longitudinal Analysis

Blockchain technology relies on decentralization to resist faults and attacks while operating without trusted intermediaries. Although industry experts have touted decentralization as central to their promise and disruptive potential, it is still unclear whether the crypto ecosystems built around...

The vulnerability of the ip_metrics_convert() function in the ipv4 component of the Linux operating system’s kernel allows a hacker to trigger a service failure.

The vulnerability of the ipmetricsconvert function in the ipv4 component of the Linux operating system’s kernel is related to the lack of memory release. Exploiting this vulnerability could allow an attacker to cause a service failure...

The vulnerability of the fib_metrics_match() function in the Linux operating system’s kernel allows a hacker to cause a service failure.

The vulnerability of the fibmetricsmatch function in the Linux operating system’s kernel is related to the lack of memory release. Exploiting this vulnerability could allow an attacker to cause a service failure...

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning

Privacy-Preserving Federated Learning PPFL is a decentralized machine learning approach where multiple clients train a model collaboratively. PPFL preserves privacy and security of the client's data by not exchanging it. However, ensuring that data at each client is of high quality and ready for...

System Prompt Extraction Attacks and Defenses in Large Language Models

The system prompt in Large Language Models LLMs plays a pivotal role in guiding model behavior and response generation. Often containing private configuration details, user roles, and operational instructions, the system prompt has become an emerging attack target. Recent studies have shown that...

A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?

Recently, AI-driven interactions with computing devices have advanced from basic prototype tools to sophisticated, LLM-based systems that emulate human-like operations in graphical user interfaces. We are now witnessing the emergence of \emphComputer-Using Agents CUAs, capable of autonomously...