| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| python-socketio is a Python implementation of the Socket.IO realtime client and server. A remote code execution vulnerability in python-socketio versions prior to 5.14.0 allows attackers to execute arbitrary Python code through malicious pickle deserialization in multi-server deployments on which the attacker previously gained access to the message queue that the servers use for internal communications. When Socket.IO servers are configured to use a message queue backend such as Redis for inter-server communication, messages sent between the servers are encoded using the `pickle` Python module. When a server receives one of these messages through the message queue, it assumes it is trusted and immediately deserializes it. The vulnerability stems from deserialization of messages using Python's `pickle.loads()` function. Having previously obtained access to the message queue, the attacker can send a python-socketio server a crafted pickle payload that executes arbitrary code during deserialization via Python's `__reduce__` method. This vulnerability only affects deployments with a compromised message queue. The attack can lead to the attacker executing random code in the context of, and with the privileges of a Socket.IO server process. Single-server systems that do not use a message queue, and multi-server systems with a secure message queue are not vulnerable. In addition to making sure standard security practices are followed in the deployment of the message queue, users of the python-socketio package can upgrade to version 5.14.0 or newer, which remove the `pickle` module and use the much safer JSON encoding for inter-server messaging. |
| pluginsGLPI's Database Inventory Plugin "manages" the Teclib' inventory agents in order to perform an inventory of the databases present on the workstation. Prior to version 1.1.2, in certain conditions (database write access must first be obtained through another vulnerability or misconfiguration), user-controlled data is stored insecurely in the database via computergroup, and is later unserialized on every page load, allowing arbitrary PHP object instantiation. Version 1.1.2 fixes the issue. |
| A vulnerability in the h2oai/h2o-3 repository allows attackers to exploit deserialization of untrusted data, potentially leading to arbitrary code execution and reading of system files. This issue affects the latest master branch version 3.47.0.99999. The vulnerability arises from the ability to bypass regular expression filters intended to prevent malicious parameter injection in JDBC connections. Attackers can manipulate spaces between parameters to evade detection, allowing for unauthorized file access and code execution. The vulnerability is addressed in version 3.46.0.8. |
| Deserialization of Untrusted Data vulnerability in A WP Life Modal Popup Box modal-popup-box allows Object Injection.This issue affects Modal Popup Box: from n/a through <= 1.6.1. |
| Deserialization of Untrusted Data vulnerability in modeltheme ModelTheme Addons for WPBakery and Elementor modeltheme-addons-for-wpbakery allows Object Injection.This issue affects ModelTheme Addons for WPBakery and Elementor: from n/a through < 1.5.6. |
| Deserialization of Untrusted Data vulnerability in BoldThemes Ippsum ippsum allows Object Injection.This issue affects Ippsum: from n/a through <= 1.2.0. |
| DiskCache (python-diskcache) through 5.6.3 uses Python pickle for serialization by default. An attacker with write access to the cache directory can achieve arbitrary code execution when a victim application reads from the cache. |
| pdfminer.six before 20251230 contains an insecure deserialization vulnerability in the CMap loading mechanism. The library uses Python pickle to deserialize CMap cache files without validation. An attacker with the ability to place a malicious pickle file in a location accessible to the application can trigger arbitrary code execution or privilege escalation when the file is loaded by a trusted process. This is caused by an incomplete patch to CVE-2025-64512. |
| A remote code execution (RCE) vulnerability exists in Google Cloud Data Fusion.
A user with permissions to upload artifacts to a Data Fusion instance can execute arbitrary code within the core AppFabric component.
This could allow the attacker to gain control over the Data Fusion instance, potentially leading to unauthorized access to sensitive data, modification of data pipelines, and exploration of the underlying infrastructure.
The following CDAP versions include the necessary update to protect against this vulnerability: * 6.10.6+
* 6.11.1+
Users must immediately upgrade to them, or greater ones, available at: https://github.com/cdapio/cdap-build/releases . |
| 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. |
| 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. |
| The modelscope/ms-swift library thru 2.6.1 is vulnerable to arbitrary code execution through deserialization of untrusted data within the `load_model_meta()` function of the `ModelFileSystemCache()` class. Attackers can execute arbitrary code and commands by crafting a malicious serialized `.mdl` payload, exploiting the use of `pickle.load()` on data from potentially untrusted sources. This vulnerability allows for remote code execution (RCE) by deceiving victims into loading a seemingly harmless checkpoint during a normal training process, thereby enabling attackers to execute arbitrary code on the targeted machine. Note that the payload file is a hidden file, making it difficult for the victim to detect tampering. More importantly, during the model training process, after the `.mdl` file is loaded and executes arbitrary code, the normal training process remains unaffected'meaning the user remains unaware of the arbitrary code execution. |
| A remote code execution vulnerability exists in Kaltura versions prior to 11.1.0-2 due to unsafe deserialization of user-controlled data within the keditorservices module. An unauthenticated remote attacker can exploit this issue by sending a specially crafted serialized PHP object in the kdata GET parameter to the redirectWidgetCmd endpoint. Successful exploitation leads to execution of arbitrary PHP code in the context of the web server process. |
| An unsafe .NET object deserialization vulnerability in DELMIA Apriso Release 2019 through Release 2024 could lead to pre-authentication remote code execution. |
| Deserialization of Untrusted Data vulnerability in Hernan Villanueva Boldermail boldermail allows Object Injection.This issue affects Boldermail: from n/a through <= 2.4.0. |
| IBM Langflow Desktop 1.6.0 through 1.8.2 Langflow could allow an authenticated user to execute arbitrary code on the system, caused by an insecure default setting which permits the deserialization of untrusted data in the FAISS component. |
| An issue was discovered in Roundcube Webmail before 1.5.14 and 1.6.14. Unsafe deserialization in the redis/memcache session handler may lead to arbitrary file write operations by unauthenticated attackers via crafted session data. |
| Kedro is a toolbox for production-ready data science. Prior to 1.3.0, Kedro allows the logging configuration file path to be set via the KEDRO_LOGGING_CONFIG environment variable and loads it without validation. The logging configuration schema supports the special () key, which enables arbitrary callable instantiation. An attacker can exploit this to execute arbitrary system commands during application startup. This is a critical remote code execution (RCE) vulnerability caused by unsafe use of logging.config.dictConfig() with user-controlled input. This vulnerability is fixed in 1.3.0. |
| Deserialization of untrusted data in Microsoft Office SharePoint allows an authorized attacker to execute code over a network. |
| Microsoft Exchange Server Remote Code Execution Vulnerability |
