EUVD-2024-53255

Malicious code in bioql PyPI...

EUVD-2025-24493

Malicious code in bioql PyPI...

EUVD-2022-36278

Malicious code in bioql PyPI...

EUVD-2023-24698

Malicious code in bioql PyPI...

EUVD-2024-34234

Malicious code in bioql PyPI...

EUVD-2022-1860

Malicious code in bioql PyPI...

EUVD-2022-38861

Malicious code in bioql PyPI...

EUVD-2022-46801

Malicious code in bioql PyPI...

EUVD-2022-3475

Malicious code in bioql PyPI...

EUVD-2024-2746

Malicious code in bioql PyPI...

EUVD-2023-35456

Malicious code in bioql PyPI...

EUVD-2022-6434

Malicious code in bioql PyPI...

EUVD-2024-1039

Malicious code in bioql PyPI...

EUVD-2023-43051

Malicious code in bioql PyPI...

EUVD-2025-27920

Malicious code in bioql PyPI...

CVE-2025-46818 Redis: Authenticated users can execute LUA scripts as a different user

Redis is an open source, in-memory database that persists on disk. Versions 8.2.1 and below allow an authenticated user to use a specially crafted Lua script to manipulate different LUA objects and potentially run their own code in the context of another user. The problem exists in all versions o...

CVE-2025-46818

CVE-2025-46818 affects Redis Lua scripting: an authenticated user can run specially crafted Lua scripts to manipulate Lua objects and potentially execute code in another user’s context. The issue exists in Redis versions 8.2.1 and earlier and is fixed in 8.2.2. A mitigation is to block Lua script...

CVE-2025-46818 Redis: Authenticated users can execute LUA scripts as a different user

Redis is an open source, in-memory database that persists on disk. Versions 8.2.1 and below allow an authenticated user to use a specially crafted Lua script to manipulate different LUA objects and potentially run their own code in the context of another user. The problem exists in all versions o...

CVE-2025-59299

Delta Electronics DIAScreen lacks proper validation of the user-supplied file. If a user opens a malicious file, an attacker can leverage this vulnerability to execute code in the context of the current process...

PentestMCP: A Toolkit for Agentic Penetration Testing

Agentic AI is transforming security by automating many tasks being performed manually. While initial agentic approaches employed a monolithic architecture, the Model-Context-Protocol has now enabled a remote-procedure call RPC paradigm to agentic applications, allowing for the flexible constructi...