EUVD-2025-203453

A maliciously crafted MODEL file, when parsed through certain Autodesk products, can force a Memory corruption vulnerability. A malicious actor can leverage this vulnerability to execute arbitrary code in the context of the current process...

EUVD-2025-203451

AA maliciously crafted MODEL file, when parsed through certain Autodesk products, can force an Out-of-Bounds Write vulnerability. A malicious actor may leverage this vulnerability to cause a crash, cause data corruption, or execute arbitrary code in the context of the current process...

CVE-2025-10900

AA maliciously crafted MODEL file, when parsed through certain Autodesk products, can force an Out-of-Bounds Write vulnerability. A malicious actor may leverage this vulnerability to cause a crash, cause data corruption, or execute arbitrary code in the context of the current process...

CVE-2025-10898

AA maliciously crafted MODEL file, when parsed through certain Autodesk products, can force an Out-of-Bounds Write vulnerability. A malicious actor may leverage this vulnerability to cause a crash, cause data corruption, or execute arbitrary code in the context of the current process...

PT-2025-51333

Name of the Vulnerable Software and Affected Versions Autodesk AutoCAD affected versions not specified Description A specially crafted MODEL file can trigger an Out-of-Bounds Write issue when processed by specific Autodesk products. Successful exploitation could allow a malicious actor to cause a...

PT-2025-51332

Name of the Vulnerable Software and Affected Versions Autodesk products affected versions not specified Description A specially designed MODEL file can trigger an Out-of-Bounds Write issue when processed by specific Autodesk products. Successful exploitation could lead to a program crash, data...

CVE-2025-66222

DeepChat is a smart assistant uses artificial intelligence. In 0.5.0 and earlier, there is a Stored Cross-Site Scripting XSS vulnerability in the Mermaid diagram renderer allows an attacker to execute arbitrary JavaScript within the application context. By leveraging the exposed Electron IPC...

Remote Command Execution

scio-pypi is vulnerable to Remote Command Execution. The vulnerability is due to torch.load executing unsafe deserialization even when weightsonly=True, which allows an attacker to craft malicious model files that trigger arbitrary code execution during loading...

CVE-2025-64110 Cursor: Authentication Bypass Possible via New Cursorignore Write

Cursor is a code editor built for programming with AI. In versions 1.7.23 and below, a logic bug allows a malicious agent to read sensitive files that should be protected via cursorignore. An attacker who has already achieved prompt injection, or a malicious model, could create a new cursorignore...

PT-2025-45062

Name of the Vulnerable Software and Affected Versions Cursor versions 1.7.44 and below Description Cursor, a code editor for programming with AI, has an issue where NTFS path quirks can be exploited by an attacker to bypass file protections and overwrite files that normally require user...

EUVD-2025-7036

Malicious code in bioql PyPI...

EUVD-2025-25170

Malicious code in bioql PyPI...

Keras safe_mode bypass allows arbitrary code execution when loading a malicious model.

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Arbitrary Code Execution (ACE)

skops is vulnerable to Arbitrary Code Execution ACE. The vulnerability is due to Card.getmodel falling back to joblib for non-.zip file formats without warning, which allows an attacker to load a malicious model file and execute arbitrary code...

CVE-2025-50461

A deserialization vulnerability exists in Volcengine's verl 3.0.0, specifically in the scripts/modelmerger.py script when using the "fsdp" backend. The script calls torch.load with weightsonly=False on user-supplied .pt files, allowing attackers to execute arbitrary code if a maliciously crafted...

CVE-2025-50461

A deserialization vulnerability exists in Volcengine's verl 3.0.0, specifically in the scripts/modelmerger.py script when using the "fsdp" backend. The script calls torch.load with weightsonly=False on user-supplied .pt files, allowing attackers to execute arbitrary code if a maliciously crafted...

Exploit for CVE-2024-3660

CVE-2024-3660 – TensorFlow Keras Arbitrary Code Execution via...

CVE-2025-49847 llama.cpp Vulnerable to Buffer Overflow via Malicious GGUF Model

llama.cpp is an inference of several LLM models in C/C++. Prior to version b5662, an attacker‐supplied GGUF model vocabulary can trigger a buffer overflow in llama.cpp’s vocabulary‐loading code. Specifically, the helper trycopy in llama.cpp/src/vocab.cpp: llamavocab::impl::tokentopiece casts a ve...

Mind the Gap: a Practical Attack on GGUF Quantization

With the increasing size of frontier LLMs, post-training quantization has become the standard for memory-efficient deployment. Recent work has shown that basic rounding-based quantization schemes pose security risks, as they can be exploited to inject malicious behaviors into quantized models tha...

Machine Learning Models Have a Supply Chain Problem

Powerful machine learning ML models are now readily available online, which creates exciting possibilities for users who lack the deep technical expertise or substantial computing resources needed to develop them. On the other hand, this type of open ecosystem comes with many risks. In this paper...