NVIDIA NVTabular for Linux contains a vulnerability in the Workflow component, where a user could cause a deserialization issue. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering.

Deserialization of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a malicously crafted report to run arbitrary code on an end user's system when loaded.

Deseriliazation of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a maliciously crafted dataset to run arbitrary code on an end user's system when loaded.

Deserialization of untrusted data can occur in versions 0.6 or newer of the skops python library, enabling a maliciously crafted model to run arbitrary code on an end user's system when loaded.

Adianti Framework deserialization

A vulnerability has been found in Adianti Framework up to 8.0 and classified as critical. Affected by this vulnerability is an unknown functionality. The manipulation leads to deserialization. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 8.1 is able to address this issue. It is recommended to upgrade the affected component.

Deserialization of untrusted data in torrentpier/torrentpier

TorrentPier is an open source BitTorrent Public/Private tracker engine, written in php. In `torrentpier/library/includes/functions.php`, `get_tracks()` uses the unsafe native PHP serialization format to deserialize user-controlled cookies. One can use phpggc and the chain Guzzle/FW1 to write PHP code to an arbitrary file, and execute commands on the system. For instance, the cookie bb_t will be deserialized when browsing to viewforum.php. This issue has been addressed in commit `ed37e6e52` which is expected to be included in release version 2.4.4. Users are advised to upgrade as soon as the new release is available. There are no known workarounds for this vulnerability.

Infinite loop condition in Amazon.IonDotnet

When reading binary Ion data through Amazon.IonDotnet using the RawBinaryReader class, Amazon.IonDotnet does not check the number of bytes read from the underlying stream while deserializing the binary format. If the Ion data is malformed or truncated, this triggers an infinite loop condition that could potentially result in a denial of service. Users should upgrade to Amazon.IonDotnet version 1.3.1 and ensure any forked or derivative code is patched to incorporate the new fixes.

Deserialization Vulnerability in SAP jConnect - SDK for ASE

Under certain conditions, a high privileged user could exploit a deserialization vulnerability in SAP jConnect to launch remote code execution. The system may be vulnerable when specially crafted input is used to exploit the vulnerability resulting in high impact on confidentiality, integrity and availability of the system.

Insecure Deserialization vulnerability in SAP Netweaver (RMI-P4)

Due to a deserialization vulnerability in SAP NetWeaver, an unauthenticated attacker could exploit the system through the RMI-P4 module by submitting malicious payload to an open port. The deserialization of such untrusted Java objects could lead to arbitrary OS command execution, posing a high impact to the application's confidentiality, integrity, and availability.

Insecure Deserialization in SAP NetWeaver Application Server for Java (Log Viewer )

A critical vulnerability in SAP NetWeaver Application server for Java Log Viewer enables authenticated administrator users to exploit unsafe Java object deserialization. Successful exploitation can lead to full operating system compromise, granting attackers complete control over the affected system. This results in a severe impact on the confidentiality, integrity, and availability of the application and host environment.

Insecure Deserialization in SAP NetWeaver Enterprise Portal Administration

SAP NetWeaver Enterprise Portal Administration is vulnerable when a privileged user can upload untrusted or malicious content which, when deserialized, could potentially lead to a compromise of confidentiality, integrity, and availability of the host system.

Insecure Deserialization vulnerability in SAP NetWeaver (XML Data Archiving Service)

SAP NetWeaver XML Data Archiving Service allows an authenticated attacker with administrative privileges to exploit an insecure Java deserialization vulnerability by sending a specially crafted serialized Java object. This could lead to high impact on confidentiality, integrity, and availability of the application.

Insecure Deserialization in SAP NetWeaver Enterprise Portal Federated Portal Network

SAP NetWeaver Enterprise Portal Federated Portal Network is vulnerable when a privileged user can upload untrusted or malicious content which, when deserialized, could potentially lead to a compromise of confidentiality, integrity, and availability of the host system.

Hitachi Vantara Pentaho Business Analytics Server - Deserialization of Untrusted Data

Pentaho Data Integration and Analytics Community Dashboard Editor plugin versions before 10.2.0.4, including 9.3.0.x and 8.3.x, deserialize untrusted JSON data without constraining the parser to approved classes and methods.

Medtronic MyCareLink Patient Monitor Deserialization Vulnerability

Medtronic MyCareLink Patient Monitor has an internal service that deserializes data, which allows a local attacker to interact with the service by crafting a binary payload to crash the service or elevate privileges. This issue affects MyCareLink Patient Monitor models 24950 and 24952: before June 25, 2025

BeamCtrl Airiana coef deserialization

A vulnerability was found in BeamCtrl Airiana up to 11.0. It has been declared as problematic. This vulnerability affects unknown code of the file coef. The manipulation leads to deserialization. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used.

XU-YIJIE grpo-flat grpo_vanilla.py main deserialization

A vulnerability classified as problematic has been found in XU-YIJIE grpo-flat up to 9024b43f091e2eb9bac65802b120c0b35f9ba856. Affected is the function main of the file grpo_vanilla.py. The manipulation leads to deserialization. Local access is required to approach this attack. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available.

There is a deserialization of untrusted data vulnerability in the Kredis JSON deserialization code

keras: Keras deserialization of untrusted data

Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a TorchModuleWrapper class to run arbitrary code on an end user’s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files.

A remote code execution (RCE) vulnerability exists in the ms-swift project version 3.3.0 due to unsafe deserialization in tests/run.py using yaml.load() from the PyYAML library (versions = 5.3.1). If an attacker can control the content of the YAML configuration file passed to the --run_config parameter, arbitrary code can be executed during deserialization. This can lead to full system compromise. The vulnerability is triggered when a malicious YAML file is loaded, allowing the execution of arbitrary Python commands such as os.system(). It is recommended to upgrade PyYAML to version 5.4 or higher, and to use yaml.safe_load() to mitigate the issue.