Internet of Things Security: A Survey on Common Attacks

The exponential growth of the Internet of Things IoT has integrated connected devices into various sectors like smart cities, digital health, and Industry 4.0, generating vast amounts of real-time data to support intelligent decision-making. However, this widespread adoption is fundamentally...

OpenSOC-AI: Democratizing Security Operations with Parameter Efficient LLM Log Analysis

Small and medium sized businesses SMBs face an escalating cybersecurity threat landscape, yet most lack the resources to staff full Security Operations Centers SOCs or deploy enterprise grade detection platforms. This paper presents OpenSOC-AI, a lightweight log analysis framework that uses...

Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning

The use of ML in cybersecurity has long been impaired by generalization issues: Models that work well in controlled scenarios fail to maintain performance in production. The root cause often lies in ML algorithms learning superficial patterns shortcuts rather than underlying cybersecurity concept...

Adaptive Dual-Layer Web Application Firewall (ADL-WAF) Leveraging Machine Learning for Enhanced Anomaly and Threat Detection

Web Application Firewalls are crucial for protecting web applications against a wide range of cyber threats. Traditional Web Application Firewalls often struggle to effectively distinguish between malicious and legitimate traffic, leading to limited efficacy in threat detection. To overcome these...

A Systematic Review and Taxonomy for Privacy Breach Classification: Trends, Gaps, and Future Directions

In response to the rising frequency and complexity of data breaches and evolving global privacy regulations, this study presents a comprehensive examination of academic literature on the classification of privacy breaches and violations between 2010-2024. Through a systematic literature review, a...

LLMs' Suitability for Network Security: a Case Study of STRIDE Threat Modeling

Artificial Intelligence AI is expected to be an integral part of next-generation AI-native 6G networks. With the prevalence of AI, researchers have identified numerous use cases of AI in network security. However, there are almost nonexistent studies that analyze the suitability of Large Language...

Snorby 2.6.2 - Stored Cross-site Scripting Vulnerability

-------------------------------------------------------- Snorby 2.6.2 - Stored Cross-site Scripting Vulnerability -------------------------------------------------------- Vendor ------ https://www.snorby.org/ Version ------- 2.6.2 Description ----------- During my research and testing of new IDS...

Methods For Measuring Botnet Threat Woefully Inadequate

Current methods for measuring the size of botnets are flawed and may be hampering efforts to fight back against the networks of zombie computers, according to a new report from The European Network and Information Security Agency ENISA. The agency issued a 150 page report, “Botnets: Measurement,...

CVE-2009-4265

creationtimestamp| type| source ---|---|--- 2009-12-05 00:00:00+00:00| confirmed| https://www.exploit-db.com/exploits/10319 2009-12-06 00:00:00+00:00| confirmed| https://www.exploit-db.com/exploits/10332 2010-09-25 00:00:00+00:00| confirmed| https://www.exploit-db.com/exploits/16657 2018-05-29...