3471 matches found
Multiparty Selective Disclosure Using Attribute-Based Encryption
This study proposes a mechanism for encrypting SD-JWT Selective Disclosure JSON Web Token Disclosures using Attribute-Based Encryption ABE to enable flexible access control on the basis of the Verifier's attributes. By integrating Ciphertext-Policy ABE CP-ABE into the existing SD-JWT framework, t...
Red Teaming the Mind of the Machine: a Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs
Large Language Models LLMs are increasingly integrated into consumer and enterprise applications. Despite their capabilities, they remain susceptible to adversarial attacks such as prompt injection and jailbreaks that override alignment safeguards. This paper provides a systematic investigation o...
Mirror Mirror on the Wall, Have I Forgotten It All? A New Framework for Evaluating Machine Unlearning
Machine unlearning methods take a model trained on a dataset and a forget set, then attempt to produce a model as if it had only been trained on the examples not in the forget set. We empirically show that an adversary is able to distinguish between a mirror model a control model produced by...
ABAC Lab: an Interactive Platform for Attribute-Based Access Control Policy Analysis, Tools, and Datasets
Attribute-Based Access Control ABAC provides expressiveness and flexibility, making it a compelling model for enforcing fine-grained access control policies. To facilitate the transition to ABAC, extensive research has been conducted to develop methodologies, frameworks, and tools that assist...
Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics
Explainable artificial intelligence XAI methods have become increasingly important in the context of explainable intrusion detection systems X-IDSs for improving the interpretability and trustworthiness of X-IDSs. However, existing evaluation approaches for XAI focus on model-specific properties...
Assessing the Latency of Network Layer Security in 5G Networks
In contrast to its predecessors, 5G supports a wide range of commercial, industrial, and critical infrastructure scenarios. One key feature of 5G, ultra-reliable low latency communication, is particularly appealing to such scenarios for its real-time capabilities. However, 5G's enhanced security,...
CVE-2025-37870
In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: prevent hang on link training fail Why When link training fails, the phy clock will be disabled. However, in enablestreams, it is assumed that link training succeeded and the mux selects the phy clock, causing a...
PT-2025-21905 · Git +1 · Quickjs
Name of the Vulnerable Software and Affected Versions: The product name cannot be determined. affected versions not specified Description: The software suffers from a heap-buffer-overflow read issue. The crash occurs during JS CallInternal, JS EvalFunctionInternal, and JS EvalInternal function...
Security Steerability Is All You Need
The adoption of Generative AI GenAI in various applications inevitably comes with expanding the attack surface, combining new security threats along with the traditional ones. Consequently, numerous research and industrial initiatives aim to mitigate these security threats in GenAI by developing...
Rego Code Injection
github.com/open-policy-agent/opa is vulnerable to Rego code injection. The vulnerability is due to unsanitized HTTP request paths being used to construct Rego queries during policy evaluation, allowing attackers to inject Rego code...
Horner Automation Cscape
RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to disclose information and execute arbitrary code. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network...
Defending against Indirect Prompt Injection by Instruction Detection
The integration of Large Language Models LLMs with external sources is becoming increasingly common, with Retrieval-Augmented Generation RAG being a prominent example. However, this integration introduces vulnerabilities of Indirect Prompt Injection IPI attacks, where hidden instructions embedded...
CVE-2025-36525 BIG-IP APM PingAccess Virtual Server Vulnerability
When a BIG-IP APM virtual server is configured to use a PingAccess profile, undisclosed requests can cause TMM to terminate. Note: Software versions which have reached End of Technical Support EoTS are not evaluated...
Safeguard-By-Development: a Privacy-Enhanced Development Paradigm for Multi-Agent Collaboration Systems
Multi-agent collaboration systems MACS, powered by large language models LLMs, solve complex problems efficiently by leveraging each agent's specialization and communication between agents. However, the inherent exchange of information between agents and their interaction with external...
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
Large language models LLMs trained over extensive corpora risk memorizing sensitive, copyrighted, or toxic content. To address this, we propose OBLIVIATE, a robust unlearning framework that removes targeted data while preserving model utility. The framework follows a structured process: extractin...
Optigo Networks ONS NC600
RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to establish an authenticated connection with the hard-coded credentials and perform OS command executions. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of...
Towards Effective Identification of Attack Techniques in Cyber Threat Intelligence Reports Using Large Language Models
This work evaluates the performance of Cyber Threat Intelligence CTI extraction methods in identifying attack techniques from threat reports available on the web using the MITRE ATT&CK framework. We analyse four configurations utilising state-of-the-art tools, including the Threat Report ATT&CK...
Towards a Standardized Methodology and Dataset for Evaluating LLM-Based Digital Forensic Timeline Analysis
Large language models LLMs have seen widespread adoption in many domains including digital forensics. While prior research has largely centered on case studies and examples demonstrating how LLMs can assist forensic investigations, deeper explorations remain limited, i.e., a standardized approach...
PQS-BFL: a Post-Quantum Secure Blockchain-Based Federated Learning Framework
Federated Learning FL enables collaborative model training while preserving data privacy, but its classical cryptographic underpinnings are vulnerable to quantum attacks. This vulnerability is particularly critical in sensitive domains like healthcare. This paper introduces PQS-BFL Post-Quantum...