[SECURITY] Fedora 42 Update: fcitx5-m17n-5.1.5-1.fc42

M17N is a large collection of input method, which can cover quite a lot languages in the world, including Latin, Arabic, etc...

EUVD-2025-38145

Deserialization of Untrusted Data vulnerability in Cozmoslabs TranslatePress translatepress-multilingual allows Object Injection.This issue affects TranslatePress: from n/a through = 2.10.2...

CVE-2025-58592

Deserialization of Untrusted Data vulnerability in Cozmoslabs TranslatePress translatepress-multilingual allows Object Injection.This issue affects TranslatePress: from n/a through = 2.10.2...

PT-2025-45242

Deserialization of Untrusted Data vulnerability in Cozmoslabs TranslatePress translatepress-multilingual allows Object Injection.This issue affects TranslatePress: from n/a through = 2.10.2...

WordPress FuseWP plugin unauthorized data modification vulnerability

WordPress FuseWP plugin is a WordPress plugin for creating and managing multilingual websites. WordPress FuseWP plugin suffers from an unauthorized modification of data vulnerability that stems from a lack of capability check in the savechanges function, which can be exploited by an attacker to a...

[SECURITY] Fedora 42 Update: qt6-qtvirtualkeyboard-6.9.3-1.fc42

The Qt Virtual Keyboard project provides an input framework and reference key board frontend for Qt 6. Key features include: Customizable keyboard layouts and styles with dynamic switching. Predictive text input with word selection. Character preview and alternative character view. Automatic...

A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration

The growing intersection of cybersecurity and law creates a complex information space where traditional legal research tools struggle to deal with nuanced connections between cases, statutes, and technical vulnerabilities. This knowledge divide hinders collaboration between legal experts and...

MulVuln: Enhancing Pre-Trained LMs with Shared and Language-Specific Knowledge for Multilingual Vulnerability Detection

Software vulnerabilities SVs pose a critical threat to safety-critical systems, driving the adoption of AI-based approaches such as machine learning and deep learning for software vulnerability detection. Despite promising results, most existing methods are limited to a single programming languag...

EUVD-2025-10529

Malicious code in bioql PyPI...

EUVD-2024-21733

Malicious code in bioql PyPI...

EUVD-2022-41521

Malicious code in bioql PyPI...

EUVD-2022-7440

Malicious code in bioql PyPI...

EUVD-2022-2087

Malicious code in bioql PyPI...

EUVD-2024-28387

Malicious code in bioql PyPI...

EUVD-2024-40788

Malicious code in bioql PyPI...

EUVD-2024-30404

Malicious code in bioql PyPI...

EUVD-2022-47992

Malicious code in bioql PyPI...

EUVD-2022-47993

Malicious code in bioql PyPI...

EUVD-2025-26239

Malicious code in bioql PyPI...

EUVD-2022-41045

Malicious code in bioql PyPI...