EUVD-2008-6237

Malware in sbrugna...

EUVD-2014-0154

Malware in sbrugna...

EUVD-2014-8010

Malware in sbrugna...

EUVD-2006-0808

Malware in sbrugna...

EUVD-2017-15071

Malware in sbrugna...

EUVD-2006-0807

Malware in sbrugna...

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-2023-52861

Malicious code in bioql PyPI...

EUVD-2022-44361

Malicious code in bioql PyPI...

EUVD-2024-50968

Malicious code in bioql PyPI...

EUVD-2023-56052

Malicious code in bioql PyPI...

EUVD-2022-48720

Malicious code in bioql PyPI...

EUVD-2023-33392

Malicious code in bioql PyPI...

EUVD-2023-40981

Malicious code in bioql PyPI...

EUVD-2022-35484

Malicious code in bioql PyPI...

CVE-2025-55211

FreePBX is an open-source web-based graphical user interface. From 17.0.19.11 to before 17.0.21, authenticated users of the Administrator Control Panel ACP can run arbitrary shell commands by maliciously changing languages of the framework module. This vulnerability is fixed in 17.0.21...

PT-2025-37763

Name of the Vulnerable Software and Affected Versions: FreePBX versions 17.0.19.11 through 17.0.20 Description: FreePBX is a web-based graphical user interface. Authenticated users of the Administrator Control Panel ACP can execute arbitrary shell commands by manipulating the framework module's...

Trust Me, I Know This Function: Hijacking LLM Static Analysis Using Bias

Large Language Models LLMs are increasingly trusted to perform automated code review and static analysis at scale, supporting tasks such as vulnerability detection, summarization, and refactoring. In this paper, we identify and exploit a critical vulnerability in LLM-based code analysis: an...

CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection

Cryptographic algorithms are fundamental to modern security, yet their implementations frequently harbor subtle logic flaws that are hard to detect. We introduce CryptoScope, a novel framework for automated cryptographic vulnerability detection powered by Large Language Models LLMs. CryptoScope...

Symbolic Execution in Practice: a Survey of Applications in Vulnerability, Malware, Firmware, and Protocol Analysis

Symbolic execution is a powerful program analysis technique that allows for the systematic exploration of all program paths. Path explosion, where the number of states to track becomes unwieldy, is one of the biggest challenges hindering symbolic execution's practical application. To combat this,...