Empowering Future Cybersecurity Leaders: Advancing Students through FINDS Education for Digital Forensic Excellence

The Forensics Investigations Network in Digital Sciences FINDS Research Center of Excellence CoE, funded by the U.S. Army Research Laboratory, advances Digital Forensic Engineering Education DFEE through an integrated research education framework for AI enabled cybersecurity workforce development...

EUVD-2026-8866

Inefficient Regular Expression Complexity CWE-1333 in the AI Inference Anonymization Engine in Kibana can lead Denial of Service via Regular Expression Exponential Blowup CAPEC-492...

CVE-2026-26936

Inefficient Regular Expression Complexity CWE-1333 in the AI Inference Anonymization Engine in Kibana can lead Denial of Service via Regular Expression Exponential Blowup CAPEC-492...

CVE-2026-26936 Inefficient Regular Expression Complexity in Kibana Leading to Denial of Service

Inefficient Regular Expression Complexity CWE-1333 in the AI Inference Anonymization Engine in Kibana can lead Denial of Service via Regular Expression Exponential Blowup CAPEC-492...

CVE-2026-26936 Inefficient Regular Expression Complexity in Kibana Leading to Denial of Service

Inefficient Regular Expression Complexity CWE-1333 in the AI Inference Anonymization Engine in Kibana can lead Denial of Service via Regular Expression Exponential Blowup CAPEC-492...

CVE-2026-26936 Inefficient Regular Expression Complexity in Kibana Leading to Denial of Service

Inefficient Regular Expression Complexity CWE-1333 in the AI Inference Anonymization Engine in Kibana can lead Denial of Service via Regular Expression Exponential Blowup CAPEC-492...

CVE-2026-27829 Astro is vulnerable to SSRF due to missing allowlist enforcement in remote image inferSize

Astro is a web framework. In versions 9.0.0 through 9.5.3, a bug in Astro's image pipeline allows bypassing image.domains / image.remotePatterns restrictions, enabling the server to fetch content from unauthorized remote hosts. Astro provides an inferSize option that fetches remote images at rend...

Important: Red Hat Security Advisory: Red Hat OpenShift Service Mesh 3.2.2

Red Hat OpenShift Service Mesh 3.2.2 This update has a security impact of Important. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each vulnerability from the CVE links in the References section. Red Hat OpenShift Service Mesh 3.2....

RobPI: Robust Private Inference against Malicious Client

The increased deployment of machine learning inference in various applications has sparked privacy concerns. In response, private inference PI protocols have been created to allow parties to perform inference without revealing their sensitive data. Despite recent advances in the efficiency of PI,...

CVE-2026-1260 vulnerabilities

Vulnerabilities for packages: text-generation-inference...

GHSA-38VQ-G6VR-W8WF vulnerabilities

Vulnerabilities for packages: text-generation-inference...

Sparse Autoencoders Are Capable LLM Jailbreak Mitigators

Jailbreak attacks remain a persistent threat to large language model safety. We propose Context-Conditioned Delta Steering CC-Delta, an SAE-based defense that identifies jailbreak-relevant sparse features by comparing token-level representations of the same harmful request with and without...

Kill It with FIRE: On Leveraging Latent Space Directions for Runtime Backdoor Mitigation in Deep Neural Networks

Machine learning models are increasingly present in our everyday lives; as a result, they become targets of adversarial attackers seeking to manipulate the systems we interact with. A well-known vulnerability is a backdoor introduced into a neural network by poisoned training data or a malicious...

Jailbreaking Leaves a Trace: Understanding and Detecting Jailbreak Attacks from Internal Representations of Large Language Models

Jailbreaking large language models LLMs has emerged as a critical security challenge with the widespread deployment of conversational AI systems. Adversarial users exploit these models through carefully crafted prompts to elicit restricted or unsafe outputs, a phenomenon commonly referred to as...

Discord will limit profiles to teen-appropriate mode until you verify your age

Discord announced it will put all existing and new profiles in teen-appropriate mode by default in early March. The teen-appropriate profile mode will remain in place until users prove they are adults. To change a profile to “full access” will require verification by Discord’s age inference model...

SecCodePRM: A Process Reward Model for Code Security

Large Language Models are rapidly becoming core components of modern software development workflows, yet ensuring code security remains challenging. Existing vulnerability detection pipelines either rely on static analyzers or use LLM/GNN-based detectors trained with coarse program-level...

Next-Generation Cyberattack Detection with Large Language Models: Anomaly Analysis across Heterogeneous Logs

This project explores large language models LLMs for anomaly detection across heterogeneous log sources. Traditional intrusion detection systems suffer from high false positive rates, semantic blindness, and data scarcity, as logs are inherently sensitive, making clean datasets rare. We address...

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...

Inference-Time Backdoors Via Hidden Instructions in LLM Chat Templates

Open-weight language models are increasingly used in production settings, raising new security challenges. One prominent threat in this context is backdoor attacks, in which adversaries embed hidden behaviors in language models that activate under specific conditions. Previous work has assumed th...

NVIDIA Triton Inference Server EVBufferToJson Uncaught Exception Denial-of-Service Vulnerability

This vulnerability allows remote attackers to create a denial-of-service condition on affected installations of NVIDIA Triton Inference Server. Authentication is not required to exploit this vulnerability. The specific flaw exists within the EVBufferToJson method. The issue results from the lack ...