EUVD-2008-1666

Malware in sbrugna...

EUVD-2013-2148

Malware in sbrugna...

EUVD-2017-14517

Malware in sbrugna...

EUVD-2015-5829

Malware in sbrugna...

EUVD-2016-6231

Malware in sbrugna...

EUVD-2017-14553

Malware in sbrugna...

EUVD-2018-10079

Malware in sbrugna...

EUVD-2023-58018

Malicious code in bioql PyPI...

EUVD-2021-9706

Malicious code in bioql PyPI...

CST-AFNet: A Dual Attention-Based Deep Learning Framework for Intrusion Detection in IoT Networks

The rapid expansion of the Internet of Things IoT has revolutionized modern industries by enabling smart automation and real time connectivity. However, this evolution has also introduced complex cybersecurity challenges due to the heterogeneous, resource constrained, and distributed nature of...

[SECURITY] Fedora 41 Update: bird-3.1.4-1.fc41

BIRD is a dynamic IP routing daemon supporting both, IPv4 and IPv6, Border Gateway Protocol BGPv4, Routing Information Protocol RIPv2, RIPng, Open Shortest Path First protocol OSPFv2, OSPFv3, Babel Routing Protocol Babel, Bidirectional Forwarding Detection BFD, IPv6 router advertisements, static...

[SECURITY] Fedora 42 Update: bird-3.1.4-1.fc42

BIRD is a dynamic IP routing daemon supporting both, IPv4 and IPv6, Border Gateway Protocol BGPv4, Routing Information Protocol RIPv2, RIPng, Open Shortest Path First protocol OSPFv2, OSPFv3, Babel Routing Protocol Babel, Bidirectional Forwarding Detection BFD, IPv6 router advertisements, static...

[SECURITY] Fedora 43 Update: bird-3.1.4-1.fc43

BIRD is a dynamic IP routing daemon supporting both, IPv4 and IPv6, Border Gateway Protocol BGPv4, Routing Information Protocol RIPv2, RIPng, Open Shortest Path First protocol OSPFv2, OSPFv3, Babel Routing Protocol Babel, Bidirectional Forwarding Detection BFD, IPv6 router advertisements, static...

Bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs

With the rapid advancement of large language models LLMs, their robustness against adversarial manipulations, particularly jailbreak backdoor attacks, has become critically important. Existing approaches to embedding jailbreak triggers--such as supervised fine-tuning SFT, model editing, and...

[SECURITY] Fedora 41 Update: socat-1.8.0.3-1.fc41

Socat is a relay for bidirectional data transfer between two independent data channels. Each of these data channels may be a file, pipe, device serial line etc. or a pseudo terminal, a socket UNIX, IP4, IP6 - raw, UDP, TCP, an SSL socket, proxy CONNECT connection, a file descriptor stdin etc., th...

[SECURITY] Fedora 42 Update: socat-1.8.0.3-1.fc42

Socat is a relay for bidirectional data transfer between two independent data channels. Each of these data channels may be a file, pipe, device serial line etc. or a pseudo terminal, a socket UNIX, IP4, IP6 - raw, UDP, TCP, an SSL socket, proxy CONNECT connection, a file descriptor stdin etc., th...

Neural Network-Based Detection and Multi-Class Classification of FDI Attacks in Smart Grid Home Energy Systems

False Data Injection Attacks FDIAs pose a significant threat to smart grid infrastructures, particularly Home Area Networks HANs, where real-time monitoring and control are highly adopted. Owing to the comparatively less stringent security controls and widespread availability of HANs, attackers...

WebGuard++: Interpretable Malicious URL Detection Via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT

URL+HTML feature fusion shows promise for robust malicious URL detection, since attacker artifacts persist in DOM structures. However, prior work suffers from four critical shortcomings: 1 incomplete URL modeling, failing to jointly capture lexical patterns and semantic context; 2 HTML graph...

Enhanced Consistency Bi-Directional GAN(CBiGAN) for Malware Anomaly Detection

Static analysis, a cornerstone technique in cybersecurity, offers a noninvasive method for detecting malware by analyzing dormant software without executing potentially harmful code. However, traditional static analysis often relies on biased or outdated datasets, leading to gaps in detection...

Phishing URL Detection Using Bi-LSTM

Phishing attacks threaten online users, often leading to data breaches, financial losses, and identity theft. Traditional phishing detection systems struggle with high false positive rates and are usually limited by the types of attacks they can identify. This paper proposes a deep learning-based...