Deserialization of Untrusted Data

Overview pyfury is an Apache Fury™incubating is a blazingly fast multi-language serialization framework powered by jit and zero-copy Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the pickle module. An attacker can execute arbitrary code by crafting a da...

CVE-2025-61622

Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stre...

CVE-2025-61622 Apache Fory, Apache Fory: Python RCE via unguarded pickle fallback serializer in pyfory

Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stre...

CVE-2025-61622 Apache Fory, Apache Fory: Python RCE via unguarded pickle fallback serializer in pyfory

Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stre...

CVE-2025-61622

CVE-2025-61622 describes a deserialization vulnerability in Apache Pyfory (and legacy PyFury) where untrusted data can trigger a pickle.loads path during deserialization, enabling remote code execution. Affected: Pyfory versions 0.12.0–0.12.2 and legacy PyFury 0.1.0–0.10.3. The issue arises from ...

CVE-2025-61622 Apache Fory, Apache Fory: Python RCE via unguarded pickle fallback serializer in pyfory

Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stre...

Apache Fory 安全漏洞

Apache Fory is a JIT-based dynamic compilation and zero-copy technology based on multi- language serialization framework , designed for distributed systems and high-performance computing scenarios . Apache Fory suffers from a deserialization vulnerability that stems from unsafe deserialization of...

PT-2025-39961

Name of the Vulnerable Software and Affected Versions pyfory versions 0.12.0 through 0.12.2 pyfury versions 0.1.0 through 0.10.3 Description Deserialization of untrusted data in Python allows arbitrary code execution. An application is susceptible if it reads serialized data from untrusted source...

CVE-2025-10974

A vulnerability has been found in giantspatula SewKinect up to 7fd963ceb3385af3706af02b8a128a13399dffb1. This affects the function pickle.loads of the file /calculate of the component Endpoint. Such manipulation of the argument bodyparts/pointcloud leads to deserialization. The attack may be...

CVE-2025-10974

A vulnerability has been found in giantspatula SewKinect up to 7fd963ceb3385af3706af02b8a128a13399dffb1. This affects the function pickle.loads of the file /calculate of the component Endpoint. Such manipulation of the argument bodyparts/pointcloud leads to deserialization. The attack may be...

CVE-2025-10974 giantspatula SewKinect Endpoint calculate pickle.loads deserialization

A vulnerability has been found in giantspatula SewKinect up to 7fd963ceb3385af3706af02b8a128a13399dffb1. This affects the function pickle.loads of the file /calculate of the component Endpoint. Such manipulation of the argument bodyparts/pointcloud leads to deserialization. The attack may be...

CVE-2025-10974 giantspatula SewKinect Endpoint calculate pickle.loads deserialization

A vulnerability has been found in giantspatula SewKinect up to 7fd963ceb3385af3706af02b8a128a13399dffb1. This affects the function pickle.loads of the file /calculate of the component Endpoint. Such manipulation of the argument bodyparts/pointcloud leads to deserialization. The attack may be...

CVE-2025-10974

The CVE-2025-10974 entry concerns giantspatula SewKinect Endpoint.calculate where the vulnerable code path uses pickle.loads on the argument body_parts/point_cloud, enabling deserialization. Affects the Endpoint calculate file; remote manipulation is possible and the exploit has been publicly dis...

PT-2025-39458

Name of the Vulnerable Software and Affected Versions giantspatula SewKinect versions prior to 7fd963ceb3385af3706af02b8a128a13399dffb1 Description A flaw exists in giantspatula SewKinect that allows for remote manipulation. The issue stems from the pickle.loads function within the /calculate fil...

Remote Code Execution (RCE)

picklescan is vulnerable to Remote Code Execution RCE. The vulnerability is due to improper handling of pickle files in UnixSubprocessTransport.start, which allows an attacker to execute arbitrary code by providing a malicious pickle file...

Remote Code Execution (RCE)

picklescan is vulnerable to Remote Code Execution RCE. The vulnerability is due to the idlelib.run.Executive.runcode function executing arbitrary pickle files, which allows an attacker to run malicious code remotely...

Arbitrary Code Execution (ACE)

picklescan is vulnerable to Arbitrary Code Execution ACE. The vulnerability is due to the use of doctest.debugscript to execute remote pickle files, which allows an attacker to execute arbitrary code on the target system...

Insecure Deserialization

picklescan is vulnerable to insecure deserialization. The vulnerability is due to the use of the lib2to3.pgen2.pgen.ParserGenerator.makelabel function to execute remote pickle files, which allows an attacker to run arbitrary code...

Insecure Deserialization

picklescan is vulnerable to insecure deserialization. The vulnerability is due to executing remote pickle files using profile.Profile.run, which allows an attacker to run arbitrary code on the system...

Remote Code Execution (RCE)

picklescan is vulnerable to Remote Code Execution RCE. The vulnerability is due to unsafe execution/deserialization because idlelib.pyshell.ModifiedInterpreter.runcode can execute untrusted code e.g., from malicious pickle data in the interpreter context...