253 matches found
The vulnerability of the Suricata intrusion detection and prevention system’s entropy component allows a intruder to trigger a service failure.
The vulnerability of the Suricata intrusion detection and prevention system’s entropy component is related to errors in pointer assignment. Exploiting this vulnerability can allow a malicious actor to trigger a service failure...
The vulnerability of the `ldap.responsions.attribute_type` component in the Suricata intrusion detection and prevention system allows a perpetrator to trigger a service failure.
The vulnerability of the ldap.responsions.attributetype component in the Suricata intrusion detection and prevention system is related to an operation that goes beyond the buffer boundaries in memory. Exploiting this vulnerability could allow a perpetrator to cause a service failure...
A Novel and Practical Universal Adversarial Perturbations against Deep Reinforcement Learning Based Intrusion Detection Systems
Intrusion Detection Systems IDS play a vital role in defending modern cyber physical systems against increasingly sophisticated cyber threats. Deep Reinforcement Learning-based IDS, have shown promise due to their adaptive and generalization capabilities. However, recent studies reveal their...
The vulnerability of the `fimFetchAttributesState()` function in the Wazuh intrusion detection and prevention system allows a intruder to trigger a service failure.
The vulnerability of the fimFetchAttributesState function in the Wazuh intrusion detection and prevention system is related to a pointer dereferencing error. Exploiting this vulnerability could allow an attacker operating remotely to cause service interruptions...
Toward Autonomous and Efficient Cybersecurity: A Multi-Objective AutoML-Based Intrusion Detection System
With increasingly sophisticated cybersecurity threats and rising demand for network automation, autonomous cybersecurity mechanisms are becoming critical for securing modern networks. The rapid expansion of Internet of Things IoT systems amplifies these challenges, as resource-constrained IoT...
Large Language Models for Cyber Security
This paper studies the integration off Large Language Models into cybersecurity tools and protocols. The main issue discussed in this paper is how traditional rule-based and signature based security systems are not enough to deal with modern AI powered cyber threats. Cybersecurity industry is...
cybersec-ids
cybersec-ids Full-stack AI-driven Web App Intrusion Detection...
New Machine Learning Approaches for Intrusion Detection in ADS-B
With the growing reliance on the vulnerable Automatic Dependent Surveillance-Broadcast ADS-B protocol in air traffic management ATM, ensuring security is critical. This study investigates emerging machine learning models and training strategies to improve AI-based intrusion detection systems IDS...
EUVD-2000-0556
Malware in sbrugna...
EUVD-1999-0584
Malware in sbrugna...
EUVD-1999-0585
Malware in sbrugna...
EUVD-2004-2261
Malware in sbrugna...
EUVD-2016-6259
Malware in sbrugna...
EUVD-2024-42303
Malicious code in bioql PyPI...
EUVD-2024-21975
Malicious code in bioql PyPI...
EUVD-2024-41603
Malicious code in bioql PyPI...
EUVD-2024-52823
Malicious code in bioql PyPI...
EUVD-2024-52824
Malicious code in bioql PyPI...