GHSA-7XQM-7738-642X File Browser's Uncontrolled Memory Consumption vulnerability can enable DoS attack due to oversized file processing

Summary A Denial of Service DoS vulnerability exists in the file processing logic when reading a file on endpoint Filebrowser-Server-IP:PORT/files/file-name . While the server correctly handles and stores uploaded files, it attempts to load the entire content into memory during read operations...

Introducing Akamai Cloud Pulse: Observability for Your Cloud Infrastructure – Now in Open Beta

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Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs

Recent studies have shown that Large Language Models LLMs are vulnerable to data poisoning attacks, where malicious training examples embed hidden behaviours triggered by specific input patterns. However, most existing works assume a phrase and focus on the attack's effectiveness, offering limite...

org.apache.cxf: Apache CXF: Denial of Service vulnerability with temporary files

A flaw was found in Apache CXF. In some edge cases with large data stream caching, the CachedOutputStream instances may not be closed and, if backed by temporary files, may fill up the file system and trigger a denial of service...

org.apache.cxf: Apache CXF: Denial of Service vulnerability with temporary files

A flaw was found in Apache CXF. In some edge cases with large data stream caching, the CachedOutputStream instances may not be closed and, if backed by temporary files, may fill up the file system and trigger a denial of service...

Scattered Spider: Rapid7 Insights, Observations, and Recommendations

Overview of Scattered Spider and recent activity Scattered Spider also tracked as UNC3944, Scatter Swine, Muddled Libra, among other aliases is a financially motivated cybercriminal group active since at least May 2022. The group is notorious for targeting large enterprises — especially...

GHSA-X8C6-GJ59-6RX8 py-libp2p is vulnerable to DoS attacks through use of large RSA keys

py-libp2p before 0.2.3 allows a peer to cause a denial of service resource consumption via a large RSA key...

CVE-2025-29606

py-libp2p before 0.2.3 allows a peer to cause a denial of service resource consumption via a large RSA key...

PhreshPhish: a Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark

Phishing remains a pervasive and growing threat, inflicting heavy economic and reputational damage. While machine learning has been effective in real-time detection of phishing attacks, progress is hindered by lack of large, high-quality datasets and benchmarks. In addition to poor-quality due to...

The Man behind the Sound: Demystifying Audio Private Attribute Profiling Via Multimodal Large Language Model Agents

Our research uncovers a novel privacy risk associated with multimodal large language models MLLMs: the ability to infer sensitive personal attributes from audio data -- a technique we term audio private attribute profiling. This capability poses a significant threat, as audio can be covertly...

py-libp2p 安全漏洞

py-libp2p is a Python implementation of the libp2p network stack from the libp2p open source. A security vulnerability exists in py-libp2p versions prior to 0.2.3, which stems from the use of a large RSA key by a peer that could lead to a denial of service...

REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack

Graph Neural Network GNN-based network intrusion detection systems NIDS are often evaluated on single datasets, limiting their ability to generalize under distribution drift. Furthermore, their adversarial robustness is typically assessed using synthetic perturbations that lack realism. This...

From Alerts to Intelligence: a Novel LLM-Aided Framework for Host-Based Intrusion Detection

Host-based intrusion detection system HIDS is a key defense component to protect the organizations from advanced threats like Advanced Persistent Threats APT. By analyzing the fine-grained logs with approaches like data provenance, HIDS has shown successes in capturing sophisticated attack traces...

CVE-2025-29606

py-libp2p before 0.2.3 allows a peer to cause a denial of service resource consumption via a large RSA key...

PRM-Free Security Alignment of Large Models Via Red Teaming and Adversarial Training

Large Language Models LLMs have demonstrated remarkable capabilities across diverse applications, yet they pose significant security risks that threaten their safe deployment in critical domains. Current security alignment methodologies predominantly rely on Process Reward Models PRMs to evaluate...

AICrypto: a Comprehensive Benchmark for Evaluating Cryptography Capabilities of Large Language Models

Whitepaper called AICrypto: A Comprehensive Benchmark For Evaluating Cryptography Capabilities Of Large Language Models...

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Protecting cyberspace requires not only advanced tools but also a shift in how we reason about threats, trust, and autonomy. Traditional cybersecurity methods rely on manual responses and brittle heuristics. To build proactive and intelligent defense systems, we need integrated theoretical...

LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing

We introduce the framework of LLM-Stackelberg games, a class of sequential decision-making models that integrate large language models LLMs into strategic interactions between a leader and a follower. Departing from classical Stackelberg assumptions of complete information and rational agents, ou...

LLMalMorph: on the Feasibility of Generating Variant Malware Using Large-Language-Models

Large Language Models LLMs have transformed software development and automated code generation. Motivated by these advancements, this paper explores the feasibility of LLMs in modifying malware source code to generate variants. We introduce LLMalMorph, a semi-automated framework that leverages...

When Developer Aid Becomes Security Debt: a Systematic Analysis of Insecure Behaviors in LLM Coding Agents

LLM-based coding agents are rapidly being deployed in software development, yet their security implications remain poorly understood. These agents, while capable of accelerating software development, may inadvertently introduce insecure practices. We conducted the first systematic security...