| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25191. |
| Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the handling of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25012. |
| The Order GLPI plugin allows users to manage order management within GLPI. Starting with version 1.8.0 and prior to versions 2.7.7 and 2.10.1, an authenticated user that has access to standard interface can craft an URL that can be used to execute a system command. Versions 2.7.7 and 2.10.1 contain a patch for this issue. As a workaround, delete the `ajax/dropdownContact.php` file from the plugin. |
| ToolboxST prior to version 7.10 is affected by a deserialization vulnerability. An attacker with local access to an HMI or who has conducted a social engineering attack on an authorized operator could execute code in a Toolbox user's context through the deserialization of an untrusted configuration file. Two CVSS scores have been provided to capture the differences between the two aforementioned attack vectors.
Customers are advised to update to ToolboxST 7.10 which can be found in ControlST 7.10. If unable to update at this time customers should ensure they are following the guidance laid out in GE Gas Power's Secure Deployment Guide (GEH-6839). Customers should ensure they are not running ToolboxST as an Administrative user. |
| php-svg-lib is a scalable vector graphics (SVG) file parsing/rendering library. Prior to version 0.5.2, php-svg-lib fails to validate that font-family doesn't contain a PHAR url, which might leads to RCE on PHP < 8.0, and doesn't validate if external references are allowed. This might leads to bypass of restrictions or RCE on projects that are using it, if they do not strictly revalidate the fontName that is passed by php-svg-lib. The `Style::fromAttributes(`), or the `Style::parseCssStyle()` should check the content of the `font-family` and prevents it to use a PHAR url, to avoid passing an invalid and dangerous `fontName` value to other libraries. The same check as done in the `Style::fromStyleSheets` might be reused. Libraries using this library as a dependency might be vulnerable to some bypass of restrictions, or even remote code execution, if they do not double check the value of the `fontName` that is passed by php-svg-lib. Version 0.5.2 contains a fix for this issue. |
| A CWE 502: Deserialization of Untrusted Data vulnerability exists that could allow code to be remotely executed on the server when unsafely deserialized data is posted to the web server. Affected Products: Data Center Expert (Versions prior to V7.9.0) |
| A CWE-502: Deserialization of Untrusted Data vulnerability exists in the Dashboard module that could cause an interpretation of malicious payload data, potentially leading to remote code execution when an attacker gets the user to open a malicious file. Affected Products: IGSS Data Server(IGSSdataServer.exe)(V16.0.0.23040 and prior), IGSS Dashboard(DashBoard.exe)(V16.0.0.23040 and prior), Custom Reports(RMS16.dll)(V16.0.0.23040 and prior). |
| VMware Aria Operations for Logs contains a deserialization vulnerability. An unauthenticated, malicious actor with network access to VMware Aria Operations for Logs may be able to execute arbitrary code as root. |
| The Customizer Export/Import WordPress plugin before 0.9.6 unserializes user input provided via the settings, which could allow high privilege users such as admin to perform PHP Object Injection when a suitable gadget is present |
| An unsafe .NET object deserialization in DELMIA Apriso Release 2017 through Release 2022 could lead to post-authentication remote code execution.
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| Dell PowerProtect DM5500 version 5.15.0.0 and prior contains an insecure deserialization Vulnerability. A remote attacker with high privileges could potentially exploit this vulnerability, leading to arbitrary code execution on the vulnerable application. |
| A flaw was found in the Open Cluster Management (OCM) when a user have access to the worker nodes which has the cluster-manager-registration-controller or cluster-manager deployments. A malicious user can take advantage of this and bind the cluster-admin to any service account or using the service account to list all secrets for all kubernetes namespaces, leading into a cluster-level privilege escalation. |
| Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run. |
| 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. |
| Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded Langchain AgentExecutor model to run arbitrary code on an end user’s system when interacted with. |
| Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with. |
| Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with. |
| Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with. |
| Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with. |
| Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with. |
