Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran.myeval

SummaryPicklescan uses numpy.f2py.crackfortran.myeval, which is a function in numpy to execute remote pickle files. DetailsThe attack payload executes in the following steps:- First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.myeval function in its reduce method- Then,...

EUVD-2026-63459

Hugging Face PyTorch Image Models checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face PyTorch Image Models. User interaction is required to exploit this...

Picklescan has a missing detection when calling built-in python idlelib.calltip.Calltip

SummaryUsing idlelib.calltip.Calltip.fetchtip, which is a built-in python library function to execute remote pickle file. DetailsThe attack payload executes in the following steps:First, the attacker craft the payload by calling to idlelib.calltip.Calltip.fetchtip function in reduce methodThen wh...

Picklescan is missing detection when calling built-in python ensurepip._run_pip

SummaryUsing ensurepip.runpip function, which is a built-in python library function to execute remote pickle file. DetailsThe attack payload executes in the following steps:First, the attacker craft the payload by calling to ensurepip.runpip function in reduce methodThen when the victim after...

PYSEC-2026-1660 MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...

MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...

CVE-2025-71342

picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.run.Executive.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes during pickle.load, enabling remote code execution in PyTorch models and supply chain attacks...

CVE-2025-71342 picklescan - Undetected Remote Code Execution via idlelib.run.Executive.runcode

picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.run.Executive.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes during pickle.load, enabling remote code execution in PyTorch models and supply chain attacks...

CVE-2025-71340

picklescan through 0.0.26 fails to detect malicious pickle files that invoke idlelib.pyshell.ModifiedInterpreter.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes arbitrary commands when the file is loaded via pickle.load, enabling supply chain attacks o...

CVE-2025-71340

picklescan through 0.0.26 fails to detect malicious pickle files that invoke idlelib.pyshell.ModifiedInterpreter.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes arbitrary commands when the file is loaded via pickle.load, enabling supply chain attacks o...

CVE-2025-71340 picklescan - Remote Code Execution via idlelib.pyshell.ModifiedInterpreter.runcode

picklescan through 0.0.26 fails to detect malicious pickle files that invoke idlelib.pyshell.ModifiedInterpreter.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes arbitrary commands when the file is loaded via pickle.load, enabling supply chain attacks o...

PT-2026-52617

Name of the Vulnerable Software and Affected Versions picklescan versions prior to 0.0.30 Description The software fails to detect malicious pickle files that invoke idlelib.pyshell.ModifiedInterpreter.runcode within reduce methods. This allows attackers to embed undetected code in pickle files...

CVE-2026-31228

A flaw was found in the Adversarial Robustness Toolbox ART, specifically within its Kubeflow component. The robustness evaluation function for PyTorch models uses the eval function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters without proper sanitization. A...

CVE-2026-31228

The Adversarial Robustness Toolbox ART thru 1.20.1 contains a remote code execution vulnerability in its Kubeflow component. The robustness evaluation function for PyTorch models uses the unsafe eval function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters...

Elasticsearch 8.19.8, 9.1.8 Security Update (ESA-2026-18)

Deserialization of Untrusted Data in Elasticsearch Leading to Remote Code Execution Dependency on Vulnerable Third-Party Component CWE-1395 exists in PyTorch used by the machine learning model loading component in Elasticsearch that can allow an attacker to achieve remote code execution via Objec...

GHSA-46H3-79WF-XR6C Picklescan is vulnerable to RCE via missing detection when calling built-in python _operator.attrgetter

Summary Picklescan uses operator.attrgetter, which is a built-in python library function to execute remote pickle files. Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the operator.attrgetter function in the reduce method. - Then,...

GHSA-X843-G5MX-G377 Picklescan is vulnerable to RCE through missing detection when calling built-in python operator.methodcaller

Summary Picklescan uses operator.methodcaller, which is a built-in python library function to execute remote pickle files. Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the operator.methodcaller function in method reduce. - Then,...

PT-2025-55495

Summary Picklescan uses numpy.f2py.crackfortran.param eval, which is a function in numpy to execute remote pickle files. Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.param eval function via reduce metho...

Picklescan Bugs Allow Malicious PyTorch Models to Evade Scans and Execute Code

Three critical security flaws have been disclosed in an open-source utility called Picklescan that could allow malicious actors to execute arbitrary code by loading untrusted PyTorch models, effectively bypassing the tool's protections. Picklescan, developed and maintained by Matthieu Maitre...

Picklescan is Vulnerable to Unsafe Globals Check Bypass through Subclass Imports

Summary The vulnerability allows malicious actors to bypass PickleScan's unsafe globals check, leading to potential arbitrary code execution. The issue stems from PickleScan's strict check for full module names against its list of unsafe globals. By using subclasses of dangerous imports instead o...