Latest Articles for Vulnerabilities

Learn how fuzzing can identify vulnerabilities in FPGA configurations, particularly in Xilinx devices.

Examining the dangers of integrating language models in robotic systems.

Learn about threat modeling and its importance in business security management.

A study reveals the complexity of detecting vulnerabilities that span multiple code units.

New methods enhance DNN robustness against adversarial attacks by considering example vulnerabilities.

Investigating techniques to enhance security in BusyBox used in IoT devices.

Learn how to fix vulnerabilities effectively in open source software.

An in-depth look at SCTP's security and recent vulnerabilities.

This article examines game theory's role in understanding cybersecurity threats and strategies.

A new method enhances model robustness while maintaining performance on real-world tasks.

SliSE improves detection of reentrancy vulnerabilities in complex smart contracts.

Foundation models like CLIP present both opportunities and hidden dangers in AI.

A new tool predicts and assesses security risks in microservices.

A new approach enhances smart contract auditing and vulnerability detection.

Using machine learning to improve web server vulnerability identification.

Exploring issues and proposed solutions for code language models in identifying software vulnerabilities.

Assembly programming meets competition as survivors battle in CodeGuru Xtreme.

Hacktivism poses serious risks to satellite security in today's digital landscape.

A study on how Large Language Models can improve vulnerability detection in software.

Improving software security by detecting vulnerabilities before exploitation.

A study on extreme weather and health risks across Australia.

Concerns rise over the safety of Text-to-Image models and their misuse.

Study reveals vulnerabilities in code produced by large language models.

A study on the effectiveness of SAST tools for smart contracts.

Examining the risks and defenses against JNI Global Reference attacks in Android.

Learn how organizations can prepare for and recover from cyber threats effectively.

A new platform aims to improve vehicle security testing for modern automotive technologies.

A new method enhances vulnerability assessment using real-world exploit data.

Enhancing security in IoT through innovative CoAP protocol dialects.

A look into the reliability and vulnerabilities of PUFs in IoT devices.

Exploring the role of AI in fixing software vulnerabilities.

This article investigates vulnerabilities in speech models and ways to enhance their security.

A study on security flaws in smart contract address verification and a proposed detection method.

Examining the risks and misuse of large language models in cybercrime.

A new method for identifying vulnerabilities in Android applications' native code.

VulLLM improves automatic detection of software vulnerabilities through advanced learning techniques.

A new system addresses potential issues in IoT trigger-action rules for smart homes.

M2CVD improves software vulnerability detection through collaborative model approaches.

A new method helps organizations better prioritize software vulnerabilities.

A novel approach enhances detection of software security vulnerabilities using advanced models.