CVE-2025-58757

MONAI 1.5.0 and earlier are affected by an unsafe deserialization vulnerability in monai/data/utils.py: pickle_operations deserializes dictionary values with a specific suffix using pickle.loads() without validation, enabling arbitrary code execution. The CVE describes potential RCE confirmed by ...

CVE-2025-58757 MONAI's unsafe use of Pickle deserialization may lead to RCE

MONAI Medical Open Network for AI is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the pickleoperations function in monai/data/utils.py automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using pickle.loads . This...

CVE-2025-58757 MONAI's unsafe use of Pickle deserialization may lead to RCE

MONAI Medical Open Network for AI is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the pickleoperations function in monai/data/utils.py automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using pickle.loads . This...

PT-2025-36533

Name of the Vulnerable Software and Affected Versions: MONAI versions up to and including 1.5.0 Description: MONAI Medical Open Network for AI is an AI toolkit for health care imaging. The pickle operations function in monai/data/utils.py automatically handles dictionary key-value pairs ending wi...

CVE-2025-58367

DeepDiff is a project focused on Deep Difference and search of any Python data. Versions 5.0.0 through 8.6.0 are vulnerable to class pollution via the Delta class constructor, and when combined with a gadget available in DeltaDiff, it can lead to Denial of Service and Remote Code Execution via...

CVE-2025-58367

CVE-2025-58367 affects the Python package DeepDiff (versions 5.0.0–8.6.0). The vulnerability arises from class pollution in the Delta class constructor and a gadget in DeltaDiff that lets an attacker modify deepdiff.serialization.SAFE_TO_IMPORT to permit dangerous classes (e.g., posix.system), en...

CVE-2025-58367 DeepDiff is vulnerable to DoS and Remote Code Execution via Delta class pollution

DeepDiff is a project focused on Deep Difference and search of any Python data. Versions 5.0.0 through 8.6.0 are vulnerable to class pollution via the Delta class constructor, and when combined with a gadget available in DeltaDiff, it can lead to Denial of Service and Remote Code Execution via...

CVE-2025-58367 DeepDiff is vulnerable to DoS and Remote Code Execution via Delta class pollution

DeepDiff is a project focused on Deep Difference and search of any Python data. Versions 5.0.0 through 8.6.0 are vulnerable to class pollution via the Delta class constructor, and when combined with a gadget available in DeltaDiff, it can lead to Denial of Service and Remote Code Execution via...

CVE-2025-58367

DeepDiff is a project focused on Deep Difference and search of any Python data. Versions 5.0.0 through 8.6.0 are vulnerable to class pollution via the Delta class constructor, and when combined with a gadget available in DeltaDiff, it can lead to Denial of Service and Remote Code Execution via...

GHSA-MW26-5G2V-HQW3 DeepDiff Class Pollution in Delta class leading to DoS, Remote Code Execution, and more

Summary Python class pollution is a novel vulnerability categorized under CWE-915. The Delta class is vulnerable to class pollution via its constructor, and when combined with a gadget available in DeltaDiff itself, it can lead to Denial of Service and Remote Code Execution via insecure Pickle...

PT-2025-36336

Name of the Vulnerable Software and Affected Versions DeepDiff versions 5.0.0 through 8.6.0 Description DeepDiff is a Python project for deep difference and search of data. Versions 5.0.0 through 8.6.0 are susceptible to class pollution through the Delta class constructor. When combined with a...

The Art of Hide and Seek: Making Pickle-Based Model Supply Chain Poisoning Stealthy Again

Pickle deserialization vulnerabilities have persisted throughout Python's history, remaining widely recognized yet unresolved. Due to its ability to transparently save and restore complex objects into byte streams, many AI/ML frameworks continue to adopt pickle as the model serialization protocol...

Remote Code Execution (RCE)

Overview picklescan is a Security scanner detecting Python Pickle files performing suspicious actions Affected versions of this package are vulnerable to Remote Code Execution RCE via the bottleneckmain.runcprofile function. An attacker can craft a malicious pickle file that leverages this functi...

BIT-LIBPYTHON-2022-42919

Python 3.9.x before 3.9.16 and 3.10.x before 3.10.9 on Linux allows local privilege escalation in a non-default configuration. The Python multiprocessing library, when used with the forkserver start method on Linux, allows pickles to be deserialized from any user in the same machine local network...

GHSA-R54C-2XMF-2CF3 MS SWIFT Deserialization RCE Vulnerability

This appears to be a security vulnerability report describing a remote code execution RCE exploit in the ms-swift framework through malicious pickle deserialization in adapter model files. The vulnerability allows arbitrary command execution when loading specially crafted adapter models from...

PT-2025-32493 · Pypi · Ms-Swift

This appears to be a security vulnerability report describing a remote code execution RCE exploit in the ms-swift framework through malicious pickle deserialization in adapter model files. The vulnerability allows arbitrary command execution when loading specially crafted adapter models from...

From .pth to p0wned: Abuse of Pickle Files in AI Model Supply Chains

Executive summary Recent threat research highlights a growing risk in the Python and machine learning ML ecosystem: the exploitation of serialized model files, specifically those using Python’s pickle module. While commonly used for saving and loading ML models, pickle files can execute arbitrary...

GHSA-HJQ4-87XH-G4FV vLLM Allows Remote Code Execution via PyNcclPipe Communication Service

Impacted Environments This issue ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. Summary vLLM supports the use of the PyNcclPipe class to establish a peer-to-peer communication domain for data transmission...

Deserialization of Untrusted Data

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the SUB ZeroMQ socket, where the deserialization is performed using the unsafe pickle library. An attacker on...

GHSA-HJ4W-HM2G-P6W5 vLLM Vulnerable to Remote Code Execution via Mooncake Integration

Impacted Deployments Note that vLLM instances that do NOT make use of the mooncake integration are NOT vulnerable. Description vLLM integration with mooncake is vaulnerable to remote code execution due to using pickle based serialization over unsecured ZeroMQ sockets. The vulnerable sockets were...