17630 matches found
LLM-Text Watermarking Based on Lagrange Interpolation
The rapid advancement of LLMs Large Language Models has established them as a foundational technology for many AI and ML-powered human computer interactions. A critical challenge in this context is the attribution of LLM-generated text -- either to the specific language model that produced it or ...
ThreatLens: LLM-Guided Threat Modeling and Test Plan Generation for Hardware Security Verification
Current hardware security verification processes predominantly rely on manual threat modeling and test plan generation, which are labor-intensive, error-prone, and struggle to scale with increasing design complexity and evolving attack methodologies. To address these challenges, we propose...
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
Functional encryption FE has recently attracted interest in privacy-preserving machine learning PPML for its unique ability to compute specific functions on encrypted data. A related line of work focuses on noisy FE, which ensures differential privacy in the output while keeping the data encrypte...
CVE-2024-13793 Wolmart | Multi-Vendor Marketplace WooCommerce Theme <= 1.8.11 - Unauthenticated Arbitrary Shortcode Execution in wolmart_loadmore
The Wolmart | Multi-Vendor Marketplace WooCommerce Theme theme for WordPress is vulnerable to arbitrary shortcode execution in all versions up to, and including, 1.8.11. This is due to the software allowing users to execute an action that does not properly validate a value before running...
A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network
Large Language Models LLMs have achieved remarkable success across a wide range of applications. However, individual LLMs often produce inconsistent, biased, or hallucinated outputs due to limitations in their training corpora and model architectures. Recently, collaborative frameworks such as th...
CVE-2024-13793: Improper Control of Generation of Code
The Wolmart | Multi-Vendor Marketplace WooCommerce Theme theme for WordPress is vulnerable to arbitrary shortcode execution in all versions up to, and including, 1.8.11. This is due to the software allowing users to execute an action that does not properly validate a value before running...
QUIC-Exfil: Exploiting QUIC'S Server Preferred Address Feature to Perform Data Exfiltration Attacks
The QUIC protocol is now widely adopted by major tech companies and accounts for a significant fraction of today's Internet traffic. QUIC's multiplexing capabilities, encrypted headers, dynamic IP address changes, and encrypted parameter negotiations make the protocol not only more efficient,...
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Most existing unlearnable strategies focus on preventing unauthorized users from training single-task learning STL models with personal data. Nevertheless, the paradigm has recently shifted towards multi-task data and multi-task learning MTL, targeting generalist and foundation models that can...
rsyslog bug fix update
An update is available for rsyslog. This update affects Rocky Linux 8. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each vulnerability from the CVE list The rsyslog packages provide an enhanced, multi-threaded syslog daemon. It...
mysql:8.0 security update
An update is available for mecab, module.mecab, module.mysql, mysql, module.mecab-ipadic, mecab-ipadic. This update affects Rocky Linux 8. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each vulnerability from the CVE list MySQL is ...
Exploit for Path Traversal in Ollama
Ollama CVE-2024-39722 Exploit Tool This tool is designed to e...
Denial Of Service (DoS)
vLLM is vulnerable to Denial Of Service DoS . The vulnerability is due to improper ZeroMQ socket binding caused by the XPUB socket being bound to all interfaces without access control in multi-node deployments, which allows an attacker to connect to the socket and either receive internal data or...
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...
Large Language Models Are Autonomous Cyber Defenders
Fast and effective incident response is essential to prevent adversarial cyberattacks. Autonomous Cyber Defense ACD aims to automate incident response through Artificial Intelligence AI agents that plan and execute actions. Most ACD approaches focus on single-agent scenarios and leverage...
Enterprise MFA - TFA for Drupal - Critical - Cross Site Request Forgery - SA-CONTRIB-2025-054
The module enables you to add second-factor authentication in addition to the default Drupal login. The module doesn't sufficiently protect certain routes from Cross Site Request Forgery CSRF attacks...
Guardians of the Web: the Evolution and Future of Website Information Security
Website information security has become a critical concern in the digital age. This article explores the evolution of website information security, examining its historical development, current practices, and future directions. The early beginnings from the 1960s to the 1980s laid the groundwork...
An LLM-Based Self-Evolving Security Framework for 6G Space-Air-Ground Integrated Networks
Recently emerged 6G space-air-ground integrated networks SAGINs, which integrate satellites, aerial networks, and terrestrial communications, offer ubiquitous coverage for various mobile applications. However, the highly dynamic, open, and heterogeneous nature of SAGINs poses severe security...
Drupal Enterprise MFA - TFA for Drupal module < 4.7.0,5.0.0-5.1.0 - Unauthenticated Cross Site Request Forgery (CSRF) vulnerability
Drupal Enterprise MFA - TFA for Drupal module 4.7.0,5.0.0-5.1.0 - Unauthenticated Cross Site Request Forgery CSRF vulnerability discovered by Juraj Nemec poker10 in WordPress Module Enterprise MFA - TFA for Drupal versions 4.7.0,5.0.0-5.1.0...
Drupal Enterprise MFA - TFA for Drupal module < 4.7.0,5.0.0-5.1.0 - Unauthenticated Broken Access Control vulnerability
Drupal Enterprise MFA - TFA for Drupal module 4.7.0,5.0.0-5.1.0 - Unauthenticated Broken Access Control vulnerability discovered by Conrad Lara cmlara in WordPress Module Enterprise MFA - TFA for Drupal versions 4.7.0,5.0.0-5.1.0...
Enterprise MFA - TFA for Drupal - Moderately critical - Access bypass - SA-CONTRIB-2025-053
The module enables you to add second-factor authentication in addition to the default Drupal login. The module doesn't invoke two factor authentication 2FA for the password reset option. This vulnerability is mitigated by the fact that an attacker must have access to the password reset link...