CVE-2026-64125

In the Linux kernel, the following vulnerability has been resolved: net: bcmgenet: keep RBUF EEE/PM disabled Setting RBUFEEEEN | RBUFPMEN in RBUFENERGYCTRL breaks the RX path on GENET hardware once MAC EEE becomes active. RX traffic stops flowing while the link stays up and the usual descriptor/R...

[SECURITY] Fedora 44 Update: uv-0.11.28-1.fc44

An extremely fast Python package and project manager, written in Rust. Highlights: =E2=80=A2 A single tool to replace pip, pip-tools, pipx, poetry, pyenv, twi ne, virtualenv, and more. =E2=80=A2 10-100x faster than pip. =E2=80=A2 Provides comprehensive project management, with a universal lockf...

PT-2026-61442

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description An issue exists in the bcmgenet network driver where setting RBUF EEE EN and RBUF PM EN in the RBUF ENERGY CTRL register disrupts the receive RX path on GENET hardware when MAC Energy...

EUVD-2026-41921

vLLM has Remote DoS via Invalid Recovered Token Reinjection...

[SECURITY] Fedora 44 Update: docker-buildkit-0.31.0-1.fc44

Concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit...

[SECURITY] Fedora 44 Update: rust-astral-tokio-tar-0.6.2-1.fc44

A Rust implementation of an async TAR file reader and writer. This library does not currently handle compression, but it is abstract over all I/O readers and writers. Additionally, great lengths are taken to ensure that the entire contents are never required to be entirely resident in memory all ...

[SECURITY] Fedora 43 Update: rust-astral-tokio-tar-0.6.2-1.fc43

A Rust implementation of an async TAR file reader and writer. This library does not currently handle compression, but it is abstract over all I/O readers and writers. Additionally, great lengths are taken to ensure that the entire contents are never required to be entirely resident in memory all ...

[SECURITY] Fedora 42 Update: docker-buildkit-0.30.0-1.fc42

Concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit...

[SECURITY] Fedora 43 Update: rust-astral-tokio-tar-0.6.1-1.fc43

A Rust implementation of an async TAR file reader and writer. This library does not currently handle compression, but it is abstract over all I/O readers and writers. Additionally, great lengths are taken to ensure that the entire contents are never required to be entirely resident in memory all ...

GNU Transport Layer Security Library 3.8.13

GnuTLS is a secure communications library implementing the SSL and TLS protocols and technologies around them. It provides a simple C language application programming interface API to access the secure communications protocols, as well as APIs to parse and write X.509, PKCS 12, OpenPGP, and other...

TL-RL-FusionNet: An Adaptive and Efficient Reinforcement Learning-Driven Transfer Learning Framework for Detecting Evolving Ransomware Threats

Modern ransomware exhibits polymorphic and evasive behaviors by frequently modifying execution patterns to evade detection. This dynamic nature disrupts feature spaces and limits the effectiveness of static or predefined models. To address this challenge, we propose TL-RL-FusionNet, a reinforceme...

DP-FlogTinyLLM: Differentially Private Federated Log Anomaly Detection Using Tiny LLMs

Modern distributed systems generate massive volumes of log data that are critical for detecting anomalies and cyber threats. However, in real world settings, these logs are often distributed across multiple organizations and cannot be centralized due to privacy and security constraints. Existing...

Half-Moon Cookie: Private, Similarity-Based Blocklisting with TOCTOU-Attack Resilience

Blocklisting is a common technique for preventing the use of known malicious content. However, conventional blocklisting infrastructures require either the blocklist to be public or clients to reveal their queries to the blocklist server. In this work, we introduce a private blocklisting framewor...

Towards Automated Pentesting with Large Language Models

Large Language Models LLMs are redefining offensive cybersecurity by allowing the generation of harmful machine code with minimal human intervention. While attackers take advantage of dark LLMs such as XXXGPT and WolfGPT to produce malicious code, ethical hackers can follow similar approaches to...

Secure Network Function Computation for General Target and Security Functions

Secure network function computation is a critical research direction in network coding, which aims to ensure that the target function is correctly computed at the sink node while preventing the wiretapper from obtaining any information about the security function. In this paper, we focus on the...

When Labels Are Scarce: A Systematic Mapping of Label-Efficient Code Vulnerability Detection

Machine-learning-based code vulnerability detection CVD has progressed rapidly, from deep program representations to pretrained code models and LLM-centered pipelines. Yet dependable vulnerability labeling remains expensive, noisy, and uneven across projects, languages, and CWE types, motivating...

[SECURITY] Fedora 44 Update: rust-astral-tokio-tar-0.6.0-1.fc44

A Rust implementation of an async TAR file reader and writer. This library does not currently handle compression, but it is abstract over all I/O readers and writers. Additionally, great lengths are taken to ensure that the entire contents are never required to be entirely resident in memory all ...

LoRA-Based Parameter-Efficient LLMs for Continuous Learning in Edge-Based Malware Detection

The proliferation of edge devices has created an urgent need for security solutions capable of detecting malware in real time while operating under strict computational and memory constraints. Recently, Large Language Models LLMs have demonstrated remarkable capabilities in recognizing complex...

Unknown Attack Detection in IoT Networks Using Large Language Models: A Robust, Data-Efficient Approach

The rapid evolution of cyberattacks continues to drive the emergence of unknown zero-day threats, posing significant challenges for network intrusion detection systems in Internet of Things IoT networks. Existing machine learning and deep learning approaches typically rely on large labeled...

Security without Detection: Economic Denial As a Primitive for Edge and IoT Defense

Detection-based security fails against sophisticated attackers using encryption, stealth, and low-rate techniques, particularly in IoT/edge environments where resource constraints preclude ML-based intrusion detection. We present Economic Denial Security EDS, a detection-independent framework tha...