DEBIAN-CVE-2023-53731

In the Linux kernel, the following vulnerability has been resolved: netlink: fix potential deadlock in netlinkseterr syzbot reported a possible deadlock in netlinkseterr 1 A similar issue was fixed in commit 1d482e666b8e "netlink: disable IRQs for netlinklocktable" in netlinklocktable This patch...

PT-2025-43132

Name of the Vulnerable Software and Affected Versions Linux kernel versions prior to 6.4.0-rc6-syzkaller-00240-g4e9f0ec38852 Description The Linux kernel contained a potential deadlock issue within the netlink set err function. The syzbot fuzzer identified a possible lock inversion dependency,...

PT-2025-49058

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description The Linux kernel contains a flaw related to a lock inversion deadlock between vsock register mutex and sk lock-AF VSOCK when the vsock linger function is called. This issue stemmed from ...

EUVD-2025-31846

A weakness has been identified in itsourcecode Student Transcript Processing System 1.0. Affected is an unknown function of the file /login.php. Executing manipulation of the argument uname can lead to sql injection. It is possible to launch the attack remotely. The exploit has been made availabl...

EUVD-2015-6521

Malware in sbrugna...

EUVD-2022-48057

Malicious code in bioql PyPI...

EUVD-2025-11826

Malicious code in bioql PyPI...

CVE-2025-39905

In the Linux kernel, the following vulnerability has been resolved: net: phylink: add lock for serializing concurrent pl-phydev writes with resolver Currently phylinkresolve protects itself against concurrent phylinkbringupphy or phylinkdisconnectphy calls which modify pl-phydev by relying on...

SUSE CVE-2025-39736

In the Linux kernel, the following vulnerability has been resolved: mm/kmemleak: avoid deadlock by moving prwarn outside kmemleaklock When netpoll is enabled, calling prwarnonce while holding kmemleaklock in mempoolalloc can cause a deadlock due to lock inversion with the netconsole subsystem. Th...

Linux Distros Unpatched Vulnerability : CVE-2019-19963

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - An issue was discovered in wolfSSL before 4.3.0 in a non-default configuration where DSA is enabled. DSA signing uses the BEEA algorithm during modular inversio...

Linux Distros Unpatched Vulnerability : CVE-2022-33748

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - lock order inversion in transitive grant copy handling As part of XSA-226 a missing cleanup call was inserted on an error handling path. While doing so, locking...

Linux Distros Unpatched Vulnerability : CVE-2025-38104

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - In the Linux kernel, the following vulnerability has been resolved: drm/amdgpu: Replace Mutex with Spinlock for RLCG register access to avoid Priority Inversion...

Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-Cache in LLM Inference

The Key-Value KV cache, which stores intermediate attention computations Key and Value pairs to avoid redundant calculations, is a fundamental mechanism for accelerating Large Language Model LLM inference. However, this efficiency optimization introduces significant yet underexplored privacy risk...

From Split to Share: Private Inference with Distributed Feature Sharing

Cloud-based Machine Learning as a Service MLaaS raises serious privacy concerns when handling sensitive client data. Existing Private Inference PI methods face a fundamental trade-off between privacy and efficiency: cryptographic approaches offer strong protection but incur high computational...

Split Happens: Combating Advanced Threats with Split Learning and Function Secret Sharing

Split Learning SL -- splits a model into two distinct parts to help protect client data while enhancing Machine Learning ML processes. Though promising, SL has proven vulnerable to different attacks, thus raising concerns about how effective it may be in terms of data privacy. Recent works have...

When and Where Do Data Poisons Attack Textual Inversion?

Poisoning attacks pose significant challenges to the robustness of diffusion models DMs. In this paper, we systematically analyze when and where poisoning attacks textual inversion TI, a widely used personalization technique for DMs. We first introduce Semantic Sensitivity Maps, a novel method fo...

Model Inversion Attacks on Llama 3: Extracting PII from Large Language Models

Large language models LLMs have transformed natural language processing, but their ability to memorize training data poses significant privacy risks. This paper investigates model inversion attacks on the Llama 3.2 model, a multilingual LLM developed by Meta. By querying the model with carefully...

Diffusion-Based Task-Oriented Semantic Communications with Model Inversion Attack

Semantic communication has emerged as a promising neural network-based system design for 6G networks. Task-oriented semantic communication is a novel paradigm whose core goal is to efficiently complete specific tasks by transmitting semantic information, optimizing communication efficiency and ta...

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models Via Trigger Inversion and Activation Tuning

Multimodal contrastive learning models like CLIP have demonstrated remarkable vision-language alignment capabilities, yet their vulnerability to backdoor attacks poses critical security risks. Attackers can implant latent triggers that persist through downstream tasks, enabling malicious control ...

AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models

We introduce AIRTBench, an AI red teaming benchmark for evaluating language models' ability to autonomously discover and exploit Artificial Intelligence and Machine Learning AI/ML security vulnerabilities. The benchmark consists of 70 realistic black-box capture-the-flag CTF challenges from the...