EUVD-2026-38883

In the Linux kernel, the following vulnerability has been resolved: erofs: unify lcn as u64 for 32-bit platforms As sashiko reported 1, lcn was typed as unsigned long or unsigned int sometimes, which is only 32 bits wide on 32-bit platforms, which causes lcn lclusterbits to be truncated at 4 GiB...

EUVD-2022-56002

A person with access to a Mac may be able to bypass Login Window. A consistency issue was addressed with improved state handling. This issue is fixed in macOS Monterey 12.4...

CVE-2022-48575

A person with access to a Mac may be able to bypass Login Window. A consistency issue was addressed with improved state handling. This issue is fixed in macOS Monterey 12.4...

CVE-2022-48575

A person with access to a Mac may be able to bypass Login Window. A consistency issue was addressed with improved state handling. This issue is fixed in macOS Monterey 12.4...

CVE-2022-48575

A person with access to a Mac may be able to bypass Login Window. A consistency issue was addressed with improved state handling. This issue is fixed in macOS Monterey 12.4...

Apple macOS 安全漏洞

Apple macOS is a proprietary operating system developed by the American company Apple for Mac computers. Versions of Apple macOS before Monterey 12.4 contained security vulnerabilities. These vulnerabilities were due to consistency issues, which could allow those with access to a Mac to bypass th...

CVE-2026-28919

A consistency issue was addressed with improved state handling. This issue is fixed in macOS Sequoia 15.7.7, macOS Sonoma 14.8.7, macOS Tahoe 26.5. An app may be able to gain root privileges...

ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense

LLM-driven automated penetration testing agents are typically evaluated against static targets that neither detect nor respond to attacks, so their behavior under intelligent defense remains untested. The causal consistency of multi-step attack chains likewise hinges on unstable LLM reasoning, an...

Description-Code Inconsistency in Real-World MCP Servers: Measurement, Detection, and Security Implications

The Model Context Protocol MCP has emerged as a critical standard empowering Large Language Models LLMs to utilize external tools. In this ecosystem, LLMs rely on natural language descriptions provided by MCP servers to select and execute functions. This interaction implicitly assumes that tool...

Introducing EvidenceForge: Synthetic security logs that don’t look (as) fake

Security teams need high-quality, labeled datasets to train threat hunters and incident responders, validate detection logic, and develop robust analytic models. EvidenceForge helps teams overcome the limitations of anonymized or stale public datasets, while avoiding the cost and complexity of...

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 the possibility that the DMA transfer buffer in the powerz driver and the subsequent mutex may...

Astra Linux - уязвимость в linux-5.10

In the Linux kernel, the following vulnerability has been resolved: f2fs: A fix was made to perform a sanity check on totaldatablocks. As reported by Yanming in Bugzilla: https://bugzilla.kernel.org/showbug.cgi?id=215916 The kernel message is as follows: Kernel BUG at fs/f2fs/segment.c:2560! Call...

CVE-2026-43912

A flaw was found in Vaultwarden, a Bitwarden-compatible server. A remote attacker with administrative privileges in one organization and low-privileged membership in another could exploit improper enforcement of organization consistency in group management endpoints. This allows the attacker to...

Do Skill Descriptions Tell the Truth? Detecting Undisclosed Security Behaviors in Code-Backed LLM Skills

Programmatic skills in LLM ecosystems consist of a natural-language description and executable implementation files. Users and LLMs rely on the description to understand the skill's scope. However, the implementation may perform security-relevant operations, such as credential access, network...

EUVD-2026-29240

A consistency issue was addressed with improved state handling. This issue is fixed in macOS Sequoia 15.7.7, macOS Sonoma 14.8.7, macOS Tahoe 26.5. An app may be able to gain root privileges...

CVE-2026-28919

A consistency issue was addressed with improved state handling. This issue is fixed in macOS Sequoia 15.7.7, macOS Sonoma 14.8.7, macOS Tahoe 26.5. An app may be able to gain root privileges...

CVE-2026-28919

A consistency issue was addressed with improved state handling. This issue is fixed in macOS Sequoia 15.7.7, macOS Sonoma 14.8.7, macOS Tahoe 26.5. An app may be able to gain root privileges...

PT-2026-39783

A consistency issue was addressed with improved state handling. This issue is fixed in macOS Sequoia 15.7.7, macOS Sonoma 14.8.7, macOS Tahoe 26.5. An app may be able to gain root privileges...

GHSA-PMWQ-PJRM-6P5R in-toto-golang and in-toto-python have inconsistent negation behavior

Impact What kind of vulnerability is it? Who is impacted? in-toto-golang and in-toto-python both support glob patterns in artifact rules to indicate the artifacts that a rule applies to. Both support negations in character classes to indicate what should not be matched, but they used different...

Quantifiable Uncertainty: A Stochastic Consensus Multi-Agent RAG Framework for Robust Malware Detection

While contemporary deep learning malware detectors define a dominant defense paradigm, their sophistication also exposes them to novel structural evasion attacks, a limitation we attribute to their inherent inability to express epistemic uncertainty. To address this challenge, we present MAGMA, a...