CVE-2025-53393: Deserialization of Untrusted Data

In Akka through 2.10.6, akka-cluster-metrics uses Java serialization for cluster metrics...

Akka 代码问题漏洞

Akka is an Akka open source expressive SDK and platform for developing, deploying and operating enterprise agent services. A code issue vulnerability exists in Akka 2.10.6 and earlier versions that stems from the use of Java serialization to process cluster metrics...

CVE-2025-53393

In Akka through 2.10.6, akka-cluster-metrics uses Java serialization for cluster metrics...

CVE-2025-53393

In Akka through 2.10.6, akka-cluster-metrics uses Java serialization for cluster metrics...

CVE-2025-53393

CVE-2025-53393 affects Akka up to version 2.10.6, where akka-cluster-metrics uses Java serialization for cluster metrics. The root cause is deserialization of serialized objects within the MessageSerializer pathway, which the linked sources describe in SNYK/GHSA notices. The CVE entry provides a ...

Between Buzz and Reality: The CTEM Conversation We All Need

I had the honor of hosting the first episode of the Xposure Podcast live from Xposure Summit 2025. And I couldn’t have asked for a better kickoff panel: three cybersecurity leaders who don’t just talk security, they live it. Let me introduce them. Alex Delay , CISO at IDB Bank, knows what it mean...

Control Validation: The Missing Link in Security Assurance

Running short on time but still want to stay in the know? Well, we’ve got you covered! We’ve condensed all the key takeaways into a handy audio summary. Our AI-driven podcasts are fit for on the go. Click right here to hear it all on CAASM & CDMB Inefficiencies! You've got the prettiest security...

Vulnerability Assessment Combining CVSS Temporal Metrics and Bayesian Networks

Vulnerability assessment is a critical challenge in cybersecurity, particularly in industrial environments. This work presents an innovative approach by incorporating the temporal dimension into vulnerability assessment, an aspect neglected in existing literature. Specifically, this paper focuses...

A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis

Foundation models have gained growing interest in the IoT domain due to their reduced reliance on labeled data and strong generalizability across tasks, which address key limitations of traditional machine learning approaches. However, most existing foundation model based methods are developed fo...

From LLMs to MLLMs to Agents: a Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem

Large language models LLMs are rapidly evolving from single-modal systems to multimodal LLMs and intelligent agents, significantly expanding their capabilities while introducing increasingly severe security risks. This paper presents a systematic survey of the growing complexity of jailbreak...

The Redundancy of Full Nodes in Bitcoin: a Network-Theoretic Demonstration of Miner-Centric Propagation Topologies

This paper formally examines the network structure of Bitcoin CORE BTC and Bitcoin Satoshi Vision BSV using complex graph theory to demonstrate that home-hosted full nodes are incapable of participating in or influencing the propagation topology. Leveraging established models such as scale-free...

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers

Although Foundation Models FMs, such as GPT-4, are increasingly used in domains like finance and software engineering, reliance on textual interfaces limits these models' real-world interaction. To address this, FM providers introduced tool calling-triggering a proliferation of frameworks with...

Detecting Hardware Trojans in Microprocessors via Hardware Error Correction Code-based Modules

Software-exploitable Hardware Trojans HTs enable attackers to execute unauthorized software or gain illicit access to privileged operations. This manuscript introduces a hardware-based methodology for detecting runtime HT activations using Error Correction Codes ECCs on a RISC-V microprocessor...

SUSE CVE-2022-49971

In the Linux kernel, the following vulnerability has been resolved: drm/amd/pm: Fix a potential gpumetricstable memory leak Memory is allocated for gpumetricstable in smuv1304initsmctables, but not freed in smuv1304finismctables. This may cause memory leaks, fix it...

SUSE CVE-2025-6192

Use after free in Metrics in Google Chrome prior to 137.0.7151.119 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. Chromium security severity: High...

AndroIDS : Android-Based Intrusion Detection System Using Federated Learning

The exponential growth of android-based mobile IoT systems has significantly increased the susceptibility of devices to cyberattacks, particularly in smart homes, UAVs, and other connected mobile environments. This article presents a federated learning-based intrusion detection framework called...

DEBIAN-CVE-2025-6192

Use after free in Metrics in Google Chrome prior to 137.0.7151.119 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. Chromium security severity: High...

CVE-2025-6192

Use after free in Metrics in Google Chrome prior to 137.0.7151.119 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. Chromium security severity: High...

CVE-2025-6192

Use after free in Metrics in Google Chrome prior to 137.0.7151.119 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. Chromium security severity: High...

CVE-2025-6192

Google Chrome versions prior to 137.0.7151.119 are vulnerable to a use-after-free flaw in the Profiler tool (specifically within the Metrics component). This memory management error allows a remote attacker to trigger heap corruption , potentially leading to arbitrary code execution or a service ...