AdapTools: Adaptive Tool-Based Indirect Prompt Injection Attacks on Agentic LLMs

The integration of external data services e.g., Model Context Protocol, MCP has made large language model-based agents increasingly powerful for complex task execution. However, this advancement introduces critical security vulnerabilities, particularly indirect prompt injection IPI attacks...

Collaborative Zone-Adaptive Zero-Day Intrusion Detection for IoBT

The Internet of Battlefield Things IoBT relies on heterogeneous, bandwidth-constrained, and intermittently connected tactical networks that face rapidly evolving cyber threats. In this setting, intrusion detection cannot depend on continuous central collection of raw traffic due to disrupted link...

SAFuzz: Semantic-Guided Adaptive Fuzzing for LLM-Generated Code

While AI-coding assistants accelerate software development, current testing frameworks struggle to keep pace with the resulting volume of AI-generated code. Traditional fuzzing techniques often allocate resources uniformly and lack semantic awareness of algorithmic vulnerability patterns, leading...

MUZZLE: Adaptive Agentic Red-Teaming of Web Agents against Indirect Prompt Injection Attacks

Large language model LLM based web agents are increasingly deployed to automate complex online tasks by directly interacting with web sites and performing actions on users' behalf. While these agents offer powerful capabilities, their design exposes them to indirect prompt injection attacks...

How Samsung Knox Helps Stop Your Network Security Breach

As you know, enterprise network security has undergone significant evolution over the past decade. Firewalls have become more intelligent, threat detection methods have advanced, and access controls are now more detailed. However and it’s a big “however”, the increasing use of mobile devices in...

ACORN-IDS: Adaptive Continual Novelty Detection for Intrusion Detection Systems

Intrusion Detection Systems IDS must maintain reliable detection performance under rapidly evolving benign traffic patterns and the continual emergence of cyberattacks, including zero-day threats with no labeled data available. However, most machine learning-based IDS approaches either assume...

Crypto-RV: High-Efficiency FPGA-Based RISC-V Cryptographic Co-Processor for IoT Security

Cryptographic operations are critical for securing IoT, edge computing, and autonomous systems. However, current RISC-V platforms lack efficient hardware support for comprehensive cryptographic algorithm families and post-quantum cryptography. This paper presents Crypto-RV, a RISC-V co-processor...

Trojan-Resilient NTT: Protecting against Control Flow and Timing Faults on Reconfigurable Platforms

Number Theoretic Transform NTT is the most essential component for polynomial multiplications used in lattice-based Post-Quantum Cryptography PQC algorithms such as Kyber, Dilithium, NTRU etc. However, side-channel attacks SCA and hardware vulnerabilities in the form of hardware Trojans may alter...

Winning Against AI-Based Attacks Requires a Combined Defensive Approach

If there's a constant in cybersecurity, it's that adversaries are always innovating. The rise of offensive AI is transforming attack strategies and making them harder to detect. Google's Threat Intelligence Group, recently reported on adversaries using Large Language Models LLMs to both conceal...

Multi-Agent Collaborative Intrusion Detection for Low-Altitude Economy IoT: An LLM-Enhanced Agentic AI Framework

The rapid expansion of low-altitude economy Internet of Things LAE-IoT networks has created unprecedented security challenges due to dynamic three-dimensional mobility patterns, distributed autonomous operations, and severe resource constraints. Traditional intrusion detection systems designed fo...

VoidLink Malware Puts Cloud Systems on High Alert With Custom Built Attacks

Sysdig TRT analysis reveals VoidLink as a revolutionary Linux threat. Using Serverside Rootkit Compilation and Zig code, it targets AWS and Azure with adaptive stealth...

PINA: Prompt Injection Attack against Navigation Agents

Navigation agents powered by large language models LLMs convert natural language instructions into executable plans and actions. Compared to text-based applications, their security is far more critical: a successful prompt injection attack does not just alter outputs but can directly misguide...

SecureSplit: Mitigating Backdoor Attacks in Split Learning

Split Learning SL offers a framework for collaborative model training that respects data privacy by allowing participants to share the same dataset while maintaining distinct feature sets. However, SL is susceptible to backdoor attacks, in which malicious clients subtly alter their embeddings to...

AJAR: Adaptive Jailbreak Architecture for Red-Teaming

As Large Language Models LLMs evolve from static chatbots into autonomous agents capable of tool execution, the landscape of AI safety is shifting from content moderation to action security. However, existing red-teaming frameworks remain bifurcated: they either focus on rigid, script-based text...

New China Linked VoidLink Linux Malware Targets Major Cloud Providers

Researchers have discovered VoidLink, a sophisticated new Linux malware framework designed to infiltrate AWS, Google Cloud, and Azure. Learn how this Chinese-affiliated toolkit uses adaptive stealth to stay hidden...

SecureDyn-FL: A Robust Privacy-Preserving Federated Learning Framework for Intrusion Detection in IoT Networks

The rapid proliferation of Internet of Things IoT devices across domains such as smart homes, industrial control systems, and healthcare networks has significantly expanded the attack surface for cyber threats, including botnet-driven distributed denial-of-service DDoS, malware injection, and dat...

CVE-2009-4912

Cisco Adaptive Security Appliances ASA 5580 series devices with software before 8.12 complete an SSL handshake with an HTTPS client even if this client is unauthorized, which might allow remote attackers to bypass intended access restrictions via an HTTPS session, aka Bug ID CSCso10876...

CVE-2009-4914

Memory leak on Cisco Adaptive Security Appliances ASA 5580 series devices with software before 8.12 allows remote attackers to cause a denial of service memory consumption via Subject Alternative Name fields in an X.509 certificate, aka Bug ID CSCsq17879...

CVE-2009-4918

Cisco Adaptive Security Appliances ASA 5580 series devices with software before 8.12 allow remote attackers to cause a denial of service IKE process hang via malformed NAT-T packets, aka Bug ID CSCsr74439...

CVE-2009-4919

Buffer overflow on Cisco Adaptive Security Appliances ASA 5580 series devices with software before 8.12 allows remote attackers to have an unspecified impact via long IKE attributes, aka Bug ID CSCsu43121...