CVE-2023-53560

CVE-2023-53560 concerns the Linux kernel tracing subsystem, specifically the tracing/histograms feature. The issue arises when hist triggers reference variables that are not exposed as direct fields, such as when variables are added for trigger actions; in this case the new references may lack a ...

[SECURITY] Fedora 41 Update: firebird-4.0.6.3221-1.fc41

Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production system...

PT-2025-40702

Name of the Vulnerable Software and Affected Versions Linux kernel versions prior to 6.5.0-rc1 Description The Linux kernel tracing subsystem contained a flaw in how histograms were handled with referenced variables. Specifically, hist triggers could have referenced variables without having direc...

EUVD-2023-2345

Malicious code in bioql PyPI...

EUVD-2024-17447

Malicious code in bioql PyPI...

EUVD-2022-2988

Malicious code in bioql PyPI...

EUVD-2025-9422

Malicious code in bioql PyPI...

EUVD-2022-7114

Malicious code in bioql PyPI...

Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-To-End Autonomous Driving

Assessing the safety of autonomous driving AD systems against security threats, particularly backdoor attacks, is a stepping stone for real-world deployment. However, existing works mainly focus on pixel-level triggers that are impractical to deploy in the real world. We address this gap by...

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 race condition between cpu buffer writes and swaps, which could result in a warning being triggered...

Your Compiler Is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers

Deep learning DL compilers are core infrastructure in modern DL systems, offering flexibility and scalability beyond vendor-specific libraries. This work uncovers a fundamental vulnerability in their design: can an official, unmodified compiler alter a model's semantics during compilation and...

Reasoning Introduces New Poisoning Attacks yet Makes Them More Complicated

Early research into data poisoning attacks against Large Language Models LLMs demonstrated the ease with which backdoors could be injected. More recent LLMs add step-by-step reasoning, expanding the attack surface to include the intermediate chain-of-thought CoT and its inherent trait of...

CVE-2025-57813

CVE-2025-57813 affects the traQ messenger (github.com/traPtitech/traQ). Before version 3.25.0, error handling during SQL queries can write sensitive data (e.g., OAuth tokens) to log files. An attacker with log access could trigger SQL errors to illicitly read recorded secrets. The issue is fixed ...

The Silent, Fileless Threat of VShell

The Silent, Fileless Threat of VShell By Sagar Bade · August 21, 2025 Introduction Linux environments are often seen as bastions of security, favored by developers, sysadmins, and security professionals for their stability, transparency, and resistance to malware. Compared to Windows, the attack...

Isolate Trigger: Detecting and Eradicating Evade-Adaptive Backdoors

All current detection of backdoor attacks on deep learning models fall under the category of a non essential featuresNEF, which focus on fighting against simple and efficient vertical class backdoor -- trigger is small, few and not overlapping with the source. Evade-adaptive backdoor EAB attacks...

BDFirewall: Towards Effective and Expeditiously Black-Box Backdoor Defense in MLaaS

In this paper, we endeavor to address the challenges of backdoor attacks countermeasures in black-box scenarios, thereby fortifying the security of inference under MLaaS. We first categorize backdoor triggers from a new perspective, i.e., their impact on the patched area, and divide them into:...

Malicious code in fastybird-triggers-module (PyPI)

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MAL-2025-6504 Malicious code in fastybird-triggers-module (PyPI)

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Thorium Platform Public Availability

Today, CISA, in partnership with Sandia National Laboratories, announced the public availability of Thoriumlink is external, a scalable and distributed platform for automated file analysis and result aggregation. Thorium enhances cybersecurity teams' capabilities by automating analysis workflows...

When LLMs Copy to Think: Uncovering Copy-Guided Attacks in Reasoning LLMs

Large Language Models LLMs have become integral to automated code analysis, enabling tasks such as vulnerability detection and code comprehension. However, their integration introduces novel attack surfaces. In this paper, we identify and investigate a new class of prompt-based attacks, termed...