Latest Articles for Vulnerabilities

A survey highlights key security practices and obstacles mobile app developers encounter.

A new symbolic execution engine enhances Wasm binary analysis for improved security.

Vulseye improves smart contract safety through targeted fuzz testing and analysis.

CIPHER model enhances penetration testing efficiency and supports cybersecurity efforts.

Examining context in machine learning for identifying software vulnerabilities.

A framework for fair pricing in smart home cyber insurance.

Learn how to manage risks in open-source projects effectively.

A new method uses anomaly detection for improved vulnerability identification in software.

A new approach to secure embedded devices without downtime.

An overview of ASLR effectiveness and weaknesses across Linux, Windows, and MacOS.

BreachSeek uses AI to improve cybersecurity through automated penetration testing.

A study on how cyber threats affect power grid operations.

InvSol enhances smart contract safety through advanced invariant creation techniques.

A new system enhances bug detection in smart contracts.

Examining how SBOM accuracy impacts software vulnerability detection.

Examining how bug bounty programs enhance security in open-source projects.

Exploring the benefits of a model-driven approach for cybersecurity risk management.

Examining smart contract vulnerabilities and the role of language models in detection.

This study assesses the effectiveness of various LLMs in identifying code vulnerabilities.

A look into the risks and measures for protecting sensitive data.

Exploring Reverse Preference Attacks and their impact on model safety.

PromSec optimizes prompts for generating secure and functional code with LLMs.

Examining firmware vulnerabilities and the tools to enhance security.

Enhancing LLMs' ability to repair buffer overflow vulnerabilities with context-aware techniques.

Research reveals vulnerabilities in AV lane detection through negative shadows.

A new framework analyzes agricultural resilience to climate change across various low-income countries.

Examining the impact and lessons of the DarkSeoul cyberattack on South Korea.

Investigating the quality and security concerns of AI-generated code.

Automated tools are crucial for verifying hardware security in modern devices.

Automated testing enhances security in healthcare systems, addressing evolving cyber threats.

Examining risks and solutions for memory safety in IoT devices.

AI is transforming how we address software vulnerabilities effectively.

Assessing the usefulness of EPSS for predicting security vulnerabilities.

Examining how advanced models enhance analysis of security flaws in binary code.

We need more focus on training in hardware reverse engineering for better security.

A new method improves vulnerability detection in smart contracts.

A look at how software vulnerabilities are identified, fixed, and shared.

Discover how new tools help secure programs from hidden threats like Spectre.

A new method enhances the safety of code generated by language models.

AI models can help find vulnerabilities in cryptographic systems for better security.