CVE-2025-15341 Tanium addressed an incorrect default permissions vulnerability in Benchmark.

Tanium addressed an incorrect default permissions vulnerability in Benchmark...

CVE-2025-15341

Technical details about CVE-2025-15341 are not publicly available in the provided documents. The materials only state that Tanium addressed an incorrect default permissions vulnerability in Benchmark; monitor for updates.

CVE-2025-15341 Tanium addressed an incorrect default permissions vulnerability in Benchmark.

Tanium addressed an incorrect default permissions vulnerability in Benchmark...

CVE-2025-15341

Tanium addressed an incorrect default permissions vulnerability in Benchmark...

EUVD-2025-206844

Tanium addressed an incorrect default permissions vulnerability in Benchmark...

Tanium Benchmark 安全漏洞

Tanium Benchmark is a security and operations status assessment module developed by the American company Tanium. Tanium Benchmark has security vulnerabilities, which stem from improper default permission settings...

Bypassing AI Control Protocols Via Agent-As-A-Proxy Attacks

As AI agents automate critical workloads, they remain vulnerable to indirect prompt injection IPI attacks. Current defenses rely on monitoring protocols that jointly evaluate an agent's Chain-of-Thought CoT and tool-use actions to ensure alignment with user intent. We demonstrate that these...

Benchmarking Large Language Models for Zero-Shot and Few-Shot Phishing URL Detection

The Uniform Resource Locator URL, introduced in a connectivity-first era to define access and locate resources, remains historically limited, lacking future-proof mechanisms for security, trust, or resilience against fraud and abuse, despite the introduction of reactive protections like HTTPS...

Toxic_Flow_Analysis_Framework_For_Agentic_AI

Toxic Flow Analysis TFA Framework A Secure-by-Design framew...

Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering

Static Application Security Testing SAST tools are essential for identifying software vulnerabilities, but they often produce a high volume of false positives FPs, imposing a substantial manual triage burden on developers. Recent advances in Large Language Model LLM agents offer a promising...

Introducing the WIN Partner Index: The Integrations That Powered Modern Cloud Security in 2025

A data-driven industry benchmark showing how integrations are adopted, gain traction, and deliver value across modern cloud security programs...

MalURLBench: A Benchmark Evaluating Agents' Vulnerabilities When Processing Web URLs

LLM-based web agents have become increasingly popular for their utility in daily life and work. However, they exhibit critical vulnerabilities when processing malicious URLs: accepting a disguised malicious URL enables subsequent access to unsafe webpages, which can cause severe damage to service...

Explainability Methods for Hardware Trojan Detection: A Systematic Comparison

Hardware trojan detection requires accurate identification and interpretable explanations for security engineers to validate and act on results. This work compares three explainability categories for gate-level trojan detection on the Trust-Hub benchmark: 1 domain-aware property-based analysis of...

TrojanGYM: A Detector-In-The-Loop LLM for Adaptive RTL Hardware Trojan Insertion

Hardware Trojans HTs remain a critical threat because learning-based detectors often overfit to narrow trigger/payload patterns and small, stylized benchmarks. We introduce TrojanGYM, an agentic, LLM-driven framework that automatically curates HT insertions to expose detector blind spots while...

FirmReBugger: A Benchmark Framework for Monolithic Firmware Fuzzers

Monolithic Firmware is widespread. Unsurprisingly, fuzz testing firmware is an active research field with new advances addressing the unique challenges in the domain. However, understanding and evaluating improvements by deriving metrics such as code coverage and unique crashes are problematic,...

Release of Invalid Pointer or Reference

Overview Magick.NET-Q16-arm64 is a Magick.NET allows you can use ImageMagick without having to install ImageMagick on your server or desktop. More information about specific builds see the official docs https://github.com/dlemstra/Magick.NET/tree/main/docs Affected versions of this package are...

ImageMagick has a Memory Leak in LoadOpenCLDeviceBenchmark() when parsing malformed XML

Summary A memory leak vulnerability exists in the LoadOpenCLDeviceBenchmark function in MagickCore/opencl.c. When parsing a malformed OpenCL device profile XML file that contains closing tags, the function fails to release allocated memory for string members platformname, vendorname, name, versio...

EUVD-2026-3700

ImageMagick has a Memory Leak in LoadOpenCLDeviceBenchmark when parsing malformed XML...

GHSA-QP59-X883-77QV ImageMagick has a Memory Leak in LoadOpenCLDeviceBenchmark() when parsing malformed XML

Summary A memory leak vulnerability exists in the LoadOpenCLDeviceBenchmark function in MagickCore/opencl.c. When parsing a malformed OpenCL device profile XML file that contains closing tags, the function fails to release allocated memory for string members platformname, vendorname, name, versio...

Release of Invalid Pointer or Reference

Overview Affected versions of this package are vulnerable to Release of Invalid Pointer or Reference in the LoadOpenCLDeviceBenchmark function when parsing malformed XML files. An attacker can cause memory exhaustion and potential denial of service by placing specially crafted XML files with...