SUSE CVE-2023-53581

In the Linux kernel, the following vulnerability has been resolved: net/mlx5e: Check for NOTREADY flag state after locking Currently the check for NOTREADY flag is performed before obtaining the necessary lock. This opens a possibility for race condition when the flow is concurrently removed from...

EUVD-2017-1550

Malware in sbrugna...

EUVD-2016-0414

Malware in sbrugna...

EUVD-2017-15194

Malware in sbrugna...

EUVD-2013-6495

Malware in sbrugna...

CVE-2023-53581

In the Linux kernel, the following vulnerability has been resolved: net/mlx5e: Check for NOTREADY flag state after locking Currently the check for NOTREADY flag is performed before obtaining the necessary lock. This opens a possibility for race condition when the flow is concurrently removed from...

UBUNTU-CVE-2023-53581

In the Linux kernel, the following vulnerability has been resolved: net/mlx5e: Check for NOTREADY flag state after locking Currently the check for NOTREADY flag is performed before obtaining the necessary lock. This opens a possibility for race condition when the flow is concurrently removed from...

CVE-2023-53581 net/mlx5e: Check for NOT_READY flag state after locking

In the Linux kernel, the following vulnerability has been resolved: net/mlx5e: Check for NOTREADY flag state after locking Currently the check for NOTREADY flag is performed before obtaining the necessary lock. This opens a possibility for race condition when the flow is concurrently removed from...

CVE-2023-53581 net/mlx5e: Check for NOT_READY flag state after locking

In the Linux kernel, the following vulnerability has been resolved: net/mlx5e: Check for NOTREADY flag state after locking Currently the check for NOTREADY flag is performed before obtaining the necessary lock. This opens a possibility for race condition when the flow is concurrently removed from...

EUVD-2022-48997

Malicious code in bioql PyPI...

EUVD-2025-21407

Malicious code in bioql PyPI...

EUVD-2021-28990

Malicious code in bioql PyPI...

CVE-2024-4598

An information disclosure vulnerability exists in multiple WSO2 products due to improper implementation of the enrich mediator. Authenticated users may be able to view unintended business data from other mediation contexts because the internal state is not properly isolated or cleared between...

SUSE CVE-2023-53347

In the Linux kernel, the following vulnerability has been resolved: net/mlx5: Handle pairing of E-switch via uplink un/load APIs In case user switch a device from switchdev mode to legacy mode, mlx5 first unpair the E-switch and afterwards unload the uplink vport. From the other hand, in case use...

DEBIAN-CVE-2023-53347

In the Linux kernel, the following vulnerability has been resolved: net/mlx5: Handle pairing of E-switch via uplink un/load APIs In case user switch a device from switchdev mode to legacy mode, mlx5 first unpair the E-switch and afterwards unload the uplink vport. From the other hand, in case use...

CVE-2023-53347

CVE-2023-53347 (Linux kernel, net/mlx5e offloads): The issue arises from incorrect ordering between E-switch unpairing and uplink vport unload when switching modes or removing devices, causing a use-after-free during peer-flow cleanup and a kernel oops. The fix is to handle pairing of the E-switc...

Quantum Machine Learning for UAV Swarm Intrusion Detection

Intrusion detection in unmanned-aerial-vehicle UAV swarms is complicated by high mobility, non-stationary traffic, and severe class imbalance. Leveraging a 120 k-flow simulation corpus that covers five attack types, we benchmark three quantum-machine-learning QML approaches - quantum kernels,...

Anomaly Detection in Network Flows Using Unsupervised Online Machine Learning

Nowadays, the volume of network traffic continues to grow, along with the frequency and sophistication of attacks. This scenario highlights the need for solutions capable of continuously adapting, since network behavior is dynamic and changes over time. This work presents an anomaly detection mod...

FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture

Applying deep learning to malware detection has drawn great attention due to its notable performance. With the increasing prevalence of cyberattacks targeting IoT devices, there is a parallel rise in the development of malware across various Instruction Set Architectures ISAs. It is thus importan...

CVE-2025-55346

User-controlled input flows to an unsafe implementation of a dynamic Function constructor, allowing network attackers to run arbitrary unsandboxed JS code in the context of the host, by sending a simple POST request...