PT-2026-29487

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description The Linux kernel's AppArmor profile removal code used a recursive approach for removing nested profiles, which could lead to kernel stack exhaustion and system crashes. The issue stemmed...

Identity security is the new pressure point for modern cyberattacks

Identity attacks no longer hinge on who a cyberattacker compromises, but on what that identity can access. As organizations manage growing numbers of human, non-human, and agentic identities, their access fabric multiplies across apps, resources, and environments, which increases both operational...

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...

CVE-2026-32728 Parse Server has a stored XSS filter bypass via Content-Type MIME parameter and missing XML extension blocklist entries

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Prior to 9.6.0-alpha.15 and 8.6.41, an attacker who is allowed to upload files can bypass the file extension filter by appending a MIME parameter e.g. ;charset=utf-8 to the Content-Type header...

The MSP Guide to Using AI-Powered Risk Management to Scale Cybersecurity

Scaling cybersecurity services as an MSP or MSSP requires technical expertise and a business model that delivers measurable value at scale. Risk-based cybersecurity is the foundation of that model. When done right, it builds client trust, increases upsell opportunities, and drives recurring...

Atomicity for Agents: Exposing, Exploiting, and Mitigating TOCTOU Vulnerabilities in Browser-Use Agents

Browser-use agents are widely used for everyday tasks. They enable automated interaction with web pages through structured DOM based interfaces or vision language models operating on page screenshots. However, web pages often change between planning and execution, causing agents to execute action...

New e-book: Establishing a proactive defense with Microsoft Security Exposure Management

Effective exposure management begins by illuminating and hardening risks across the entire attack surface. Some of the most meaningful shifts in security happen quietly—when teams take a clear look at their exposure landscape and acknowledge the gap between where they stand today and where they...

Microsoft SDL: Evolving security practices for an AI-powered world

As AI reshapes the world, organizations encounter unprecedented risks, and security leaders take on new responsibilities. Microsoft’s Secure Development Lifecycle SDL is expanding to address AI-specific security concerns in addition to the traditional software security areas that it has...

The End of the Road for Cisco Kenna: Take a Measured Path into Exposure Management

Cisco’s announcement that it will sunset Cisco Vulnerability Management Kenna marks a clear inflection point for many security teams. With end-of-sale and end-of-life timelines now defined, and no replacement offering on the roadmap, Kenna customers face an unavoidable decision window. Beyond the...

CurricuLLM: Designing Personalized and Workforce-Aligned Cybersecurity Curricula Using Fine-Tuned LLMs

The cybersecurity landscape is constantly evolving, driven by increased digitalization and new cybersecurity threats. Cybersecurity programs often fail to equip graduates with skills demanded by the workforce, particularly concerning recent developments in cybersecurity, as curriculum design is...

EquaCode: A Multi-Strategy Jailbreak Approach for Large Language Models Via Equation Solving and Code Completion

Large language models LLMs, such as ChatGPT, have achieved remarkable success across a wide range of fields. However, their trustworthiness remains a significant concern, as they are still susceptible to jailbreak attacks aimed at eliciting inappropriate or harmful responses. However, existing...

Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection

Unsupervised anomaly-based intrusion detection requires models that can generalize to attack patterns not observed during training. This work presents the first large-scale evaluation of hybrid quantum-classical HQC autoencoders for this task. We construct a unified experimental framework that...

Beyond NSX: A Strategic Alternative for VMware Customers

Broadcom’s VMware acquisition has driven up costs and complexity. Akamai Guardicore Segmentation offers a modern, secure, and cost-efficient path beyond NSX...

From Data Loss Prevention (DLP) to Modern Data Security

It’s time to rethink your approach...

Large Language Models for Cyber Security

This paper studies the integration off Large Language Models into cybersecurity tools and protocols. The main issue discussed in this paper is how traditional rule-based and signature based security systems are not enough to deal with modern AI powered cyber threats. Cybersecurity industry is...

Security Analysis of Agentic AI Communication Protocols: A Comparative Evaluation

Multi-agent systems MAS powered by artificial intelligence AI are increasingly foundational to complex, distributed workflows. Yet, the security of their underlying communication protocols remains critically under-examined. This paper presents the first empirical, comparative security analysis of...

Ask What Your Country Can Do for You: Towards a Public Red Teaming Model

AI systems have the potential to produce both benefits and harms, but without rigorous and ongoing adversarial evaluation, AI actors will struggle to assess the breadth and magnitude of the AI risk surface. Researchers from the field of systems design have developed several effective sociotechnic...

Beware the Hidden Costs of Pen Testing

Penetration testing helps organizations ensure IT systems are secure, but it should never be treated in a one-size-fits-all approach. Traditional approaches can be rigid and cost your organization time and money – while producing inferior results. The benefits of pen testing are clear. By...

Beyond CVSS: Critical CVE Vulnerabilities Analysis

Attackers don't care about your CVSS scores. They care about finding a path into your network. That path might not be a single, glaring "critical" vulnerability. Often, it’s a chain of lower-severity weaknesses on overlooked assets that, when combined, give them the keys to the kingdom. This is w...

Man-In-The-Middle Proof-Of-Concept Via Krontiris' Ephemeral Diffie-Hellman over COSE (EDHOC) in C

This report presents some technical details on the authentication process of a lightweight key exchange protocol, paying attention on how Man-in-the-Middle MitM attacks could undermine its security, e.g., under the scope of lawful interception and its risk to facilitate mass surveillance. We focu...