CVE-2025-30202 Data exposure via ZeroMQ on multi-node vLLM deployment

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting from 0.5.2 and prior to 0.8.5 are vulnerable to denial of service and data exposure via ZeroMQ on multi-node vLLM deployment. In a multi-node vLLM deployment, vLLM uses ZeroMQ for some multi-no...

The vulnerability of the Multi-Factor Authentication component in the virtual learning environment Moodle allows a perpetrator to gain unauthorized access to protected information.

The vulnerability of the Multi-Factor Authentication component in the virtual learning environment Moodle is related to deficiencies in the authentication process. Exploiting this vulnerability could allow a malicious actor to gain unauthorized access to protected information...

The vulnerability of the Multi-Factor Authentication component in the virtual learning environment Moodle allows a perpetrator to gain unauthorized access to protected information or execute arbitrary codes.

The vulnerability of the Multi-Factor Authentication component in the virtual learning environment Moodle is related to deficiencies in the authentication process. Exploiting this vulnerability could allow a malicious actor to gain unauthorized access to protected information or execute arbitrary...

The vulnerability of the Multi-Factor Authentication component in the virtual learning environment Moodle, which allows a perpetrator to trigger a service failure.

The vulnerability of the Multi-Factor Authentication component in the virtual learning environment Moodle relates to bypassing authentication using a key controlled by the user. Exploiting this vulnerability could allow a malicious actor to trigger a service failure...

GHSA-9F8F-2VMF-885J Data exposure via ZeroMQ on multi-node vLLM deployment

Impact In a multi-node vLLM deployment, vLLM uses ZeroMQ for some multi-node communication purposes. The primary vLLM host opens an XPUB ZeroMQ socket and binds it to ALL interfaces. While the socket is always opened for a multi-node deployment, it is only used when doing tensor parallelism acros...

FFCBA: Feature-Based Full-Target Clean-Label Backdoor Attacks

Backdoor attacks pose a significant threat to deep neural networks, as backdoored models would misclassify poisoned samples with specific triggers into target classes while maintaining normal performance on clean samples. Among these, multi-target backdoor attacks can simultaneously target multip...

Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks

Graph neural networks have been widely utilized to solve graph-related tasks because of their strong learning power in utilizing the local information of neighbors. However, recent studies on graph adversarial attacks have proven that current graph neural networks are not robust against malicious...

Mitigating the Structural Bias in Graph Adversarial Defenses

In recent years, graph neural networks GNNs have shown great potential in addressing various graph structure-related downstream tasks. However, recent studies have found that current GNNs are susceptible to malicious adversarial attacks. Given the inevitable presence of adversarial attacks in the...

Federated One-Shot Learning with Data Privacy and Objective-Hiding

Privacy in federated learning is crucial, encompassing two key aspects: safeguarding the privacy of clients' data and maintaining the privacy of the federator's objective from the clients. While the first aspect has been extensively studied, the second has received much less attention. We present...

RHEL 8 : mariadb:10.5 (RHSA-2025:0739)

The remote Redhat Enterprise Linux 8 host has packages installed that are affected by multiple vulnerabilities as referenced in the RHSA-2025:0739 advisory. MariaDB is a multi-user, multi-threaded SQL database server that is binary compatible with MySQL. Security Fixes: mysql: InnoDB unspecified...

DICOM Compatible, 3D Multimodality Image Encryption Using Hyperchaotic Signal

Medical image encryption plays an important role in protecting sensitive health information from cyberattacks and unauthorized access. In this paper, we introduce a secure and robust encryption scheme that is multi-modality compatible and works with MRI, CT, X-Ray and Ultrasound images for...

CVE-2025-34491

GFI MailEssentials prior to version 21.8 is vulnerable to a .NET deserialization issue. A remote and authenticated attacker can execute arbitrary code by sending crafted serialized .NET when joining to a Multi-Server setup...

Exploit for Code Injection in Craftcms Craft_Cms

CraftCMS CVE-2025-32432 Exploit By Chirag Artani Overview...

FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection

Graph-based detection methods leveraging Function Call Graphs FCGs have shown promise for Android malware detection AMD due to their semantic insights. However, the deployment of malware detectors in dynamic and hostile environments raises significant concerns about their robustness. While recent...

CVE-2025-46491

Improper Neutralization of Input During Web Page Generation 'Cross-site Scripting' vulnerability in Matthew Muro Multi-Column Taxonomy List multi-column-taxonomy-list allows Stored XSS.This issue affects Multi-Column Taxonomy List: from n/a through = 1.5...

CVE-2025-27538

Mattermost versions 10.5.x = 10.5.1, 9.11.x = 9.11.9 fail to enforce MFA checks in PUT /api/v4/users/user-id/mfa when the requesting user differs from the target user ID, which allows users with editotherusers permission to activate or deactivate MFA for other users, even if those users have not...

CVE-2025-3435

The Mang Board WP plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the boardheader and boardfooter parameters in all versions up to, and including, 1.8.6 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with...

SONNI: Secure Oblivious Neural Network Inference

In the standard privacy-preserving Machine learning as-a-service MLaaS model, the client encrypts data using homomorphic encryption and uploads it to a server for computation. The result is then sent back to the client for decryption. It has become more and more common for the computation to be...

Security Vulnerabilities in Quantum Cloud Systems: a Survey on Emerging Threats

Quantum computing is becoming increasingly widespread due to the potential and capabilities to solve complex problems beyond the scope of classical computers. As Quantum Cloud services are adopted by businesses and research groups, they allow for greater progress and application in many fields...

CVE-2025-2613

The Login Manager – Design Login Page, View Login Activity, Limit Login Attempts plugin for WordPress is vulnerable to Stored Cross-Site Scripting via Custom logo and background URLs in all versions up to, and including, 2.0.5 due to insufficient input sanitization and output escaping. This makes...