300 matches found
CVE-2025-38519 mm/damon: fix divide by zero in damon_get_intervals_score()
In the Linux kernel, the following vulnerability has been resolved: mm/damon: fix divide by zero in damongetintervalsscore The current implementation allows having zero size regions with no special reasons, but damongetintervalsscore gets crashed by divide by zero when the region size is zero...
CVE-2025-38519
In the Linux kernel, the following vulnerability has been resolved: mm/damon: fix divide by zero in damongetintervalsscore The current implementation allows having zero size regions with no special reasons, but damongetintervalsscore gets crashed by divide by zero when the region size is zero...
CVE-2025-38519
The CVE-2025-38519 entry pertains to the Linux kernel (mm/damon) and is supported by multiple sources in the connected documents. The root cause is a divide-by-zero crash in damon_get_intervals_score() when region size is zero. The current patch fixes the bug without disallowing zero-size regions...
PT-2025-33562 · Linux · Linux Kernel
Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: The Linux kernel contains a flaw within the damon get intervals score function in the mm/damon module. The current implementation permits zero-sized regions, which can cause a...
Malicious code in test-mlw2-surer-trees (npm)
The package test-mlw2-surer-trees was found to contain malicious code...
MAL-2025-36374 Malicious code in test-mlw2-surer-trees (npm)
The package test-mlw2-surer-trees was found to contain malicious code...
BarkBeetle: Stealing Decision Tree Models with Fault Injection
Machine learning models, particularly decision trees DTs, are widely adopted across various domains due to their interpretability and efficiency. However, as ML models become increasingly integrated into privacy-sensitive applications, concerns about their confidentiality have grown, particularly...
WATCHDOG: an Ontology-AWare Risk AssessmenT ApproaCH Via Object-Oriented DisruptiOn Graphs
When considering risky events or actions, we must not downplay the role of involved objects: a charged battery in our phone averts the risk of being stranded in the desert after a flat tyre, and a functional firewall mitigates the risk of a hacker intruding the network. The Common Ontology of Val...
Are Trees Really Green? A Detection Approach of IoT Malware Attacks
Nowadays, the Internet of Things IoT is widely employed, and its usage is growing exponentially because it facilitates remote monitoring, predictive maintenance, and data-driven decision making, especially in the healthcare and industrial sectors. However, IoT devices remain vulnerable due to the...
Authenticated Private Set Intersection: a Merkle Tree-Based Approach for Enhancing Data Integrity
Private Set Intersection PSI enables secure computation of set intersections while preserving participant privacy, standard PSI existing protocols remain vulnerable to data integrity attacks allowing malicious participants to extract additional intersection information or mislead other parties. I...
CVE-2021-41208
TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service via dereferencing nullptrs or via CHECK-failures as well as abuse undefined behavior binding...
Password Strength Detection Via Machine Learning: Analysis, Modeling, and Evaluation
As network security issues continue gaining prominence, password security has become crucial in safeguarding personal information and network systems. This study first introduces various methods for system password cracking, outlines password defense strategies, and discusses the application of...
Modeling Interdependent Cybersecurity Threats Using Bayesian Networks: a Case Study on In-Vehicle Infotainment Systems
Cybersecurity threats are increasingly marked by interdependence, uncertainty, and evolving complexity challenges that traditional assessment methods such as CVSS, STRIDE, and attack trees fail to adequately capture. This paper reviews the application of Bayesian Networks BNs in cybersecurity ris...
Towards Quantum Resilience: Data-Driven Migration Strategy Design
The advancements in quantum computing are a threat to classical cryptographic systems. The traditional cryptographic methods that utilize factorization-based or discrete-logarithm-based algorithms, such as RSA and ECC, are some of these. This paper thoroughly investigates the vulnerabilities of...
Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees
A decision tree is an easy-to-understand tool that has been widely used for classification tasks. On the one hand, due to privacy concerns, there has been an urgent need to create privacy-preserving classifiers that conceal the user's input from the classifier. On the other hand, with the rise of...
Bipartite Randomized Response Mechanism for Local Differential Privacy
With the increasing importance of data privacy, Local Differential Privacy LDP has recently become a strong measure of privacy for protecting each user's privacy from data analysts without relying on a trusted third party. In many cases, both data providers and data analysts hope to maximize the...
Towards Stateless Clients in Ethereum: Benchmarking Verkle Trees and Binary Merkle Trees with SNARKs
Ethereum, the leading platform for decentralized applications, faces challenges in maintaining decentralization due to the significant hardware requirements for validators to store Ethereum's entire state. To address this, the concept of stateless clients is under exploration, enabling validators...
Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks
As cyber threats continue to evolve, securing edge networks has become increasingly challenging due to their distributed nature and resource limitations. Many AI-driven threat detection systems rely on complex deep learning models, which, despite their high accuracy, suffer from two major...
Attack-Defense Trees with Offensive and Defensive Attributes (With Appendix)
Effective risk management in cybersecurity requires a thorough understanding of the interplay between attacker capabilities and defense strategies. Attack-Defense Trees ADTs are a commonly used methodology for representing this interplay; however, previous work in this domain has only focused on...
CVE-2025-22013 KVM: arm64: Unconditionally save+flush host FPSIMD/SVE/SME state
In the Linux kernel, the following vulnerability has been resolved: KVM: arm64: Unconditionally save+flush host FPSIMD/SVE/SME state There are several problems with the way hyp code lazily saves the host's FPSIMD/SVE state, including: Host SVE being discarded unexpectedly due to inconsistent...