EUVD-2023-28965

Malicious code in bioql PyPI...

EUVD-2023-31175

Malicious code in bioql PyPI...

EUVD-2025-23623

Malicious code in bioql PyPI...

EUVD-2025-23624

Malicious code in bioql PyPI...

EUVD-2025-23625

Malicious code in bioql PyPI...

EUVD-2024-21257

Malicious code in bioql PyPI...

EUVD-2023-28974

Malicious code in bioql PyPI...

EUVD-2023-28977

Malicious code in bioql PyPI...

EUVD-2024-41717

Malicious code in bioql PyPI...

EUVD-2023-28966

Malicious code in bioql PyPI...

EUVD-2024-41725

Malicious code in bioql PyPI...

EUVD-2023-48442

Malicious code in bioql PyPI...

EUVD-2024-21255

Malicious code in bioql PyPI...

EUVD-2023-31589

Malicious code in bioql PyPI...

EUVD-2025-7634

Malicious code in bioql PyPI...

EUVD-2022-55329

Malicious code in bioql PyPI...

EUVD-2024-21250

Malicious code in bioql PyPI...

EUVD-2024-45951

Malicious code in bioql PyPI...

LegalSim: Multi-Agent Simulation of Legal Systems for Discovering Procedural Exploits

We present LegalSim, a modular multi-agent simulation of adversarial legal proceedings that explores how AI systems can exploit procedural weaknesses in codified rules. Plaintiff and defendant agents choose from a constrained action space for example, discovery requests, motions, meet-and-confer,...

The vulnerability of software for discrete event simulation and automation in Rockwell Automation Arena lies in insufficient validation of input data, allowing a perpetrator to execute arbitrary code.

The vulnerability of software for discrete event simulation and automation in Rockwell Automation Arena is related to insufficient verification of input data. Exploiting this vulnerability can allow an attacker to execute arbitrary code...