CVE-2023-53733

In the Linux kernel, the following vulnerability has been resolved: net: sched: clsu32: Undo tcfbindfilter if u32replacehwknode When u32replacehwknode fails, we need to undo the tcfbindfilter operation done at u32setparms...

Attack-Specialized Deep Learning with Ensemble Fusion for Network Anomaly Detection

The growing scale and sophistication of cyberattacks pose critical challenges to network security, particularly in detecting diverse intrusion types within imbalanced datasets. Traditional intrusion detection systems IDS often struggle to maintain high accuracy across both frequent and rare...

A Multi-Layered Embedded Intrusion Detection Framework for Programmable Logic Controllers

Industrial control system ICS operations use trusted endpoints like human machine interfaces HMIs and workstations to relay commands to programmable logic controllers PLCs. Because most PLCs lack layered defenses, compromise of a trusted endpoint can drive unsafe actuator commands and risk...

EUVD-2019-16187

Malware in sbrugna...

EUVD-2013-0213

Malware in sbrugna...

EUVD-2023-39785

Malicious code in bioql PyPI...

EUVD-2025-15944

Malicious code in bioql PyPI...

EUVD-2025-30973

Malicious code in bioql PyPI...

NVIDIA Megatron-LM ensemble_classifer script code injection vulnerability

NVIDIA Megatron-LM is a PyTorch-based distributed training framework from NVIDIA that specializes in training large Transformer language models. A code injection vulnerability exists in the NVIDIA Megatron-LM ensembleclassifer script, which can be exploited by attackers to cause code execution,...

CVE-2025-23354

NVIDIA Megatron-LM for all platforms contains a vulnerability in the ensembleclassifer script where malicious data created by an attacker may cause an injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, Information disclosure, and data...

Arbitrary Code Injection

Overview megatron-core is a Megatron Core - a library for efficient and scalable training of transformer based models Affected versions of this package are vulnerable to Arbitrary Code Injection via the ensembleclassifer script. An attacker can execute arbitrary code, escalate privileges, disclos...

CVE-2025-23354

The CVE-2025-23354 issue affects NVIDIA Megatron-LM, specifically the ensemble_classifer script, with a code injection vulnerability that attacker-supplied data can trigger. The vulnerability may enable code execution, privilege escalation, information disclosure, and data tampering. Affected com...

CVE-2025-23354

NVIDIA Megatron-LM for all platforms contains a vulnerability in the ensembleclassifer script where malicious data created by an attacker may cause an injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, Information disclosure, and data...

CVE-2025-23354

NVIDIA Megatron-LM for all platforms contains a vulnerability in the ensembleclassifer script where malicious data created by an attacker may cause an injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, Information disclosure, and data...

CVE-2025-23354

NVIDIA Megatron-LM for all platforms contains a vulnerability in the ensembleclassifer script where malicious data created by an attacker may cause an injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, Information disclosure, and data...

NVIDIA Megatron-LM 代码注入漏洞

NVIDIA Megatron-LM is a PyTorch-based distributed training framework from NVIDIA that specializes in training large Transformer language models. A code injection vulnerability exists in the NVIDIA Megatron-LM ensembleclassifer script, which can be exploited by attackers to cause code execution,...

PT-2025-39263

Name of the Vulnerable Software and Affected Versions NVIDIA Megatron-LM affected versions not specified Description The software contains a flaw in the ensemble classifer script that could allow an attacker to inject malicious data. Successful exploitation of this issue may result in code...

A Non-Monotonic Relationship: an Empirical Analysis of Hybrid Quantum Classifiers for Unseen Ransomware Detection

Detecting unseen ransomware is a critical cybersecurity challenge where classical machine learning often fails. While Quantum Machine Learning QML presents a potential alternative, its application is hindered by the dimensionality gap between classical data and quantum hardware. This paper...

Robust DDoS-Attack Classification with 3D CNNs against Adversarial Methods

Distributed Denial-of-Service DDoS attacks remain a serious threat to online infrastructure, often bypassing detection by altering traffic in subtle ways. We present a method using hive-plot sequences of network data and a 3D convolutional neural network 3D CNN to classify DDoS traffic with high...

CVE-2025-9392

A security vulnerability has been detected in Linksys RE6250, RE6300, RE6350, RE6500, RE7000 and RE9000 1.0.013.001/1.0.04.001/1.0.04.002/1.1.05.003/1.2.07.001. This affects the function qosClassifier of the file /goform/qosClassifier. Such manipulation of the argument...