CVE-2026-44754

The Remote Function Call RFC modules of the Operational Data Provisioning Data Replication API ODP-RFC are missing caller identification of permitted SAP-internal applications and are being used by customer or third-party applications in ways that are not aligned with its intended usage. Which...

The Hidden Security Risk in Modern Networks: The Work Between Tools

Organizations have more visibility than ever. Growing tech stacks provide greater coverage, and network security teams are increasingly adopting AI and automation to help with routine tasks and reduce manual effort. But the same challenges persist. Outages still last hours, causing significant...

CVE-2026-44754

The Remote Function Call RFC modules of the Operational Data Provisioning Data Replication API ODP-RFC are missing caller identification of permitted SAP-internal applications and are being used by customer or third-party applications in ways that are not aligned with its intended usage. Which...

CVE-2026-44754

The Remote Function Call RFC modules of the Operational Data Provisioning Data Replication API ODP-RFC are missing caller identification of permitted SAP-internal applications and are being used by customer or third-party applications in ways that are not aligned with its intended usage. Which...

PT-2026-47537

The Remote Function Call RFC modules of the Operational Data Provisioning Data Replication API ODP-RFC are missing caller identification of permitted SAP-internal applications and are being used by customer or third-party applications in ways that are not aligned with its intended usage. Which...

AI Assurance in UK Defence: Challenges in Operationalising JSP 936

This report examines practical challenges in operationalising JSP 936 Part 1 for AI assurance in UK Defence. Using a structured interpretive review of the directive's requirements, the analysis identifies eight thematic challenge areas adequacy of evidence and argument, management of human...

CVE-2025-62345

HCL BigFix RunBookAI is affected by a Continued availability of Less-Secure “Input Text” Vulnerability . A component contains a security weakness in its input handling implementation, increasing the risk of misconfiguration and operational errors...

CVE-2026-7780

A weakness has been identified in Open5GS up to 2.7.7. Affected by this vulnerability is the function udmstateoperational of the file /src/udm/udm-sm.c of the component smf-registrations Endpoint. Executing a manipulation can lead to denial of service. The attack can be executed remotely. The...

CVE-2026-33570

PowerSYSTEM Center REST API endpoint for devices allows a low privilege authenticated user to access information normally limited by operational permissions...

CISA Adds One Known Exploited Vulnerability to Catalog

CISA has added one new vulnerability to its Known Exploited Vulnerabilities KEV Catalog, based on evidence of active exploitation. CVE-2026-28318link is external SolarWinds Serv-U Uncontrolled Resource Consumption Vulnerability This type of vulnerability is a frequent attack vector for malicious...

FDM: A Framework for Decision-Making to Build ML-Based Malware Detection Systems

Selecting appropriate machine learning ML configurations for malware detection is a complex, multi-criteria problem. Model choice, feature engineering, and update mechanisms must jointly satisfy operational constraints that vary across deployment contexts. This paper proposes the Framework for...

The vulnerability of the client library of the Firebird database management system allows a perpetrator to cause information leakage.

The vulnerability of the client library of the Firebird database management system is related to the lack of protection for operational data. Exploiting this vulnerability can allow an attacker to cause a data leak...

How Leading Organizations Are Turning EDR Into Operational Resilience

Most organizations now recognize that endpoint protection alone is no longer sufficient. That's why adoption of endpoint detection and response EDR has accelerated rapidly in recent years. Organizations understand that modern attacks move faster, evade traditional prevention controls, and require...

Operationalizing Cyber Attack Prediction: A Gap-Prioritized Framework with Dataset and Model Selection Guidelines

While AI and machine learning for cyber attack prediction have advanced, a critical gap persists between theoretical research and practical operational deployment. Building on Ankalaki et al. 2025, this paper provides a comprehensive analysis of 150+ benchmark datasets and 200+ studies to identif...

Linux kernel 安全漏洞

The Linux kernel is the core of the open-source operating system Linux, developed by the Linux Foundation in the United States. There is a security vulnerability in the Linux kernel, which stems from data competition within the runtime.oss.trigger field in the ALSA pcm oss module, potentially...

watch-tower

OT/ICS Threat Intelligence Lab Local threat intelligence lab...

AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems

This paper examines the erosion of Public Key Cryptography PKC security under adaptive adversarial optimisation driven by artificial intelligence. The problem addressed is the growing mismatch between algorithm-centric cryptographic security models and operational attack realities, where...

CyberMaskQA: A Privacy-Aware Benchmark for Evaluating Large Language Models in Cybersecurity Question Answering

Large language models LLMs are increasingly applied to cybersecurity question answering QA for critical tasks such as incident response and vulnerability analysis. However, real-world operational contexts, including system logs and network configurations, inherently contain sensitive identifiers,...

What Your Board Gets Wrong About AI Security

Editor's note: This article was originally published by Craig Riddell on LinkedIn. It has been republished here with the author's permission. Boards are giving AI security more airtime than ever. What they're not giving is the right framing. A year or two ago, AI was mostly a question of...

Vulnerabilities present in Siemens products

Siemens has identified vulnerabilities in various OT-products. These include products from the Siemens RUGGEDCOM, SCALANCE, SIMATIC, SIMIT, SINAMICS, SIPROTEC, SENTRON, and Solid Edge product families. The vulnerabilities enable malicious actors to carry out attacks that can cause the following...