erb: ERB: Arbitrary code execution via deserialization bypass

A flaw was found in ERB, a templating system for Ruby. An attacker who can trigger deserialization of untrusted data in a Ruby application can bypass existing protections. This vulnerability allows for arbitrary code execution by exploiting specific public methods that evaluate template source...

AI in Cybersecurity Education -- Scalable Agentic CTF Design Principles and Educational Outcomes

Large language models are rapidly changing how learners acquire and demonstrate cybersecurity skills. However, when human--AI collaboration is allowed, educators still lack validated competition designs and evaluation practices that remain fair and evidence-based. This paper presents a...

A Comparative Study of Recent Advances in Internet of Intrusion Detection Things

The Internet of Things IoT has revolutionized the way devices communicate and interact with each other, but it has also created new challenges in terms of security. In this context, intrusion detection has become a crucial mechanism to ensure the safety of IoT systems. To address this issue, a...

Many Tools, Few Exploitable Vulnerabilities: A Survey of 246 Static Code Analyzers for Security

Static security analysis is a widely used technique for detecting software vulnerabilities across a wide range of weaknesses, application domains, and programming languages. While prior work surveyed static analyzes for specific weaknesses or application domains, no overview of the entire securit...

TeleAI-Safety: A Comprehensive LLM Jailbreaking Benchmark Towards Attacks, Defenses, and Evaluations

While the deployment of large language models LLMs in high-value industries continues to expand, the systematic assessment of their safety against jailbreak and prompt-based attacks remains insufficient. Existing safety evaluation benchmarks and frameworks are often limited by an imbalanced...

Beyond Fixed and Dynamic Prompts: Embedded Jailbreak Templates for Advancing LLM Security

As the use of large language models LLMs continues to expand, ensuring their safety and robustness has become a critical challenge. In particular, jailbreak attacks that bypass built-in safety mechanisms are increasingly recognized as a tangible threat across industries, driving the need for...

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges

Agentic AI systems powered by large language models LLMs and endowed with planning, tool use, memory, and autonomy, are emerging as powerful, flexible platforms for automation. Their ability to autonomously execute tasks across web, software, and physical environments creates new and amplified...

Red Teaming Program Repair Agents: When Correct Patches Can Hide Vulnerabilities

LLM-based agents are increasingly deployed for software maintenance tasks such as automated program repair APR. APR agents automatically fetch GitHub issues and use backend LLMs to generate patches that fix the reported bugs. However, existing work primarily focuses on the functional correctness ...

Evaluating the Security Efficacy of Web Application Firewalls (WAFs)

Web Application Firewalls WAFs are now a staple in defending web-facing applications and APIs, acting as specialized filters to block malicious traffic before it ever reaches your systems. But simply deploying a WAF isn’t enough, the real challenge is knowing whether it works when it matters most...

Breaking free from the VirusTotal silo: Lock and Code S02E07

This week on Lock and Code, we speak to Malwarebytes Chief Information Security Officer John Donovan about the flaws in using VirusTotal as the one source of truth when evaluating whether or not a cybersecurity tool actually works. Its a practice that is surprisingly common. Weeks ago, Malwarebyt...