EUVD-2024-38084

Malicious code in bioql PyPI...

EUVD-2022-27367

Malicious code in bioql PyPI...

EUVD-2024-28328

Malicious code in bioql PyPI...

EUVD-2023-59001

Malicious code in bioql PyPI...

A Novel Unified Lightweight Temporal-Spatial Transformer Approach for Intrusion Detection in Drone Networks

The growing integration of drones across commercial, industrial, and civilian domains has introduced significant cybersecurity challenges, particularly due to the susceptibility of drone networks to a wide range of cyberattacks. Existing intrusion detection mechanisms often lack the adaptability,...

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...

A Statistical Method for Attack-Agnostic Adversarial Attack Detection with Compressive Sensing Comparison

Adversarial attacks present a significant threat to modern machine learning systems. Yet, existing detection methods often lack the ability to detect unseen attacks or detect different attack types with a high level of accuracy. In this work, we propose a statistical approach that establishes a...

Adaptive Deception Framework with Behavioral Analysis for Enhanced Cybersecurity Defense

This paper presents CADL Cognitive-Adaptive Deception Layer, an adaptive deception framework achieving 99.88% detection rate with 0.13% false positive rate on the CICIDS2017 dataset. The framework employs ensemble machine learning Random Forest, XGBoost, Neural Networks combined with behavioral...

USN-7789-1 linux-oracle-6.14 vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - ARM64 architecture; - PowerPC architecture; - x86 architecture; - Block layer subsystem; - Cryptographic API; - ACP...

How to Secure Enterprise Networks by Identifying Malicious IP Addresses

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National Instruments Circuit Design Suite

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to cause memory corruption, potentially leading to information disclosure and execution of arbitrary code. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of...

LG Innotek Camera Multiple Models

RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to gain administrative access to the device. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network exposure...

F5 Networks BIG-IP : tcpdump vulnerabilities (K000156675)

The version of F5 Networks BIG-IP installed on the remote host is prior to 15.1.3. It is, therefore, affected by multiple vulnerabilities as referenced in the K000156675 advisory. CVE-2018-10103tcpdump before 4.9.3 mishandles the printing of SMB data issue 1 of 2.CVE-2018-10105tcpdump before 4.9....

Two-Dimensional XOR-Based Secret Sharing for Layered Multipath Communication

This paper introduces the first two-dimensional XOR-based secret sharing scheme for layered multipath communication networks. We present a construction that guarantees successful message recovery and perfect privacy when an adversary observes and disrupts any single path at each transmission laye...

China-Linked PlugX and Bookworm Malware Attacks Target Asian Telecom and ASEAN Networks

Telecommunications and manufacturing sectors in Central and South Asian countries have emerged as the target of an ongoing campaign distributing a new variant of a known malware called PlugXaka Korplug or SOGU. "The new variant's features overlap with both the RainyDay and Turian backdoors,...

Vision Transformers: the Threat of Realistic Adversarial Patches

The increasing reliance on machine learning systems has made their security a critical concern. Evasion attacks enable adversaries to manipulate the decision-making processes of AI systems, potentially causing security breaches or misclassification of targets. Vision Transformers ViTs have gained...

US Disrupts Massive Cell Phone Array in New York

This is a weird story: The US Secret Service disrupted a network of telecommunications devices that could have shut down cellular systems as leaders gather for the United Nations General Assembly in New York City. The agency said on Tuesday that last month it found more than 300 SIM servers and...

Every Character Counts: from Vulnerability to Defense in Phishing Detection

Phishing attacks targeting both organizations and individuals are becoming an increasingly significant threat as technology advances. Current automatic detection methods often lack explainability and robustness in detecting new phishing attacks. In this work, we investigate the effectiveness of...

Adversarial Defense in Cybersecurity: a Systematic Review of GANs for Threat Detection and Mitigation

Machine learning-based cybersecurity systems are highly vulnerable to adversarial attacks, while Generative Adversarial Networks GANs act as both powerful attack enablers and promising defenses. This survey systematically reviews GAN-based adversarial defenses in cybersecurity 2021--August 31,...

Cryptographic Backdoor for Neural Networks: Boon and Bane

In this paper we show that cryptographic backdoors in a neural network NN can be highly effective in two directions, namely mounting the attacks as well as in presenting the defenses as well. On the attack side, a carefully planted cryptographic backdoor enables powerful and invisible attack on t...