| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A vulnerability, which was classified as critical, has been found in Xorbits Inference up to 1.4.1. This issue affects the function load of the file xinference/thirdparty/cosyvoice/cli/model.py. The manipulation leads to deserialization. |
| A vulnerability has been found in viames Pair Framework up to 1.9.11 and classified as critical. Affected by this vulnerability is the function getCookieContent of the file /src/UserRemember.php of the component PHP Object Handler. The manipulation of the argument cookieName leads to deserialization. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. |
| Subnet Solutions
PowerSYSTEM Center is affected by a mishandling of exceptional conditions vulnerability. Crafted data that is passed to the API may trigger an exception, resulting in a denial-of-service condition. |
| pac4j is a security framework for Java. `pac4j-core` prior to version 4.0.0 is affected by a Java deserialization vulnerability. The vulnerability affects systems that store externally controlled values in attributes of the `UserProfile` class from pac4j-core. It can be exploited by providing an attribute that contains a serialized Java object with a special prefix `{#sb64}` and Base64 encoding. This issue may lead to Remote Code Execution (RCE) in the worst case. Although a `RestrictedObjectInputStream` is in place, that puts some restriction on what classes can be deserialized, it still allows a broad range of java packages and potentially exploitable with different gadget chains. pac4j versions 4.0.0 and greater are not affected by this issue. Users are advised to upgrade. There are no known workarounds for this vulnerability. |
| A vulnerability was determined in 1Panel-dev MaxKB up to 2.0.2/2.1.0. This issue affects some unknown processing of the file /admin/api/workspace/default/tool/debug. Executing manipulation of the argument code can lead to deserialization. The attack can be executed remotely. The exploit has been publicly disclosed and may be utilized. Upgrading to version 2.1.1 is capable of addressing this issue. It is suggested to upgrade the affected component. |
| Deserialization of Untrusted Data vulnerability in Topal Solutions AG Topal Finanzbuchhaltung on Windows allows Remote Code Execution.This issue affects at least Topal Finanzbuchhaltung: 10.1.5.20 and is fixed in version 11.2.12.00 |
| A vulnerability was determined in geyang ml-logger up to acf255bade5be6ad88d90735c8367b28cbe3a743. Affected is the function log_handler of the file ml_logger/server.py of the component Ping Handler. This manipulation of the argument data causes deserialization. It is possible to initiate the attack remotely. The exploit has been publicly disclosed and may be utilized. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. |
| 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. |
| An issue was discovered in RDoc 6.3.3 through 6.6.2, as distributed in Ruby 3.x through 3.3.0. When parsing .rdoc_options (used for configuration in RDoc) as a YAML file, object injection and resultant remote code execution are possible because there are no restrictions on the classes that can be restored. (When loading the documentation cache, object injection and resultant remote code execution are also possible if there were a crafted cache.) The main fixed version is 6.6.3.1. For Ruby 3.0 users, a fixed version is rdoc 6.3.4.1. For Ruby 3.1 users, a fixed version is rdoc 6.4.1.1. For Ruby 3.2 users, a fixed version is rdoc 6.5.1.1. |
| 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 body_parts/point_cloud leads to deserialization. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. |
| Prebid.js is a free and open source library for publishers to quickly implement header bidding. NPM users of prebid 10.9.2 may have been briefly compromised by a malware campaign. The malicious code attempts to redirect crypto transactions on the site to the attackers' wallet. Version 10.10.0 fixes the issue. As a workaround, it is also possible to downgrade to 10.9.1. |
| DuckDB is an analytical in-process SQL database management system. On 08 September 2025, the DuckDB distribution for Node.js on npm was compromised with malware (along with several other packages). An attacker published new versions of four of DuckDB's packages that included malicious code to interfere with cryptocoin transactions* According to the npm statistics, nobody has downloaded these packages before they were deprecated. The packages and versions `@duckdb/node-api@1.3.3`, `@duckdb/node-bindings@1.3.3`, `duckdb@1.3.3`, and `@duckdb/duckdb-wasm@1.29.2` were affected. DuckDB immediately deprecated the specific versions, engaged npm support to delete the affected verions, and re-released the node packages with higher version numbers (1.3.4/1.30.0). Users may upgrade to versions 1.3.4, 1.30.0, or a higher version to protect themselves. As a workaround, they may also downgrade to 1.3.2 or 1.29.1. |
| A vulnerability classified as critical was found in lm-sys fastchat up to 0.2.36. This vulnerability affects the function split_files/apply_delta_low_cpu_mem of the file fastchat/model/apply_delta.py. The manipulation leads to deserialization. An attack has to be approached locally. |
| 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. |
| The Keras.Model.load_model method, including when executed with the intended security mitigation safe_mode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery (SSRF).
This vulnerability stems from the way the StringLookup layer is handled during model loading from a specially crafted .keras archive. The constructor for the StringLookup layer accepts a vocabulary argument that can specify a local file path or a remote file path.
* Arbitrary Local File Read: An attacker can create a malicious .keras file that embeds a local path in the StringLookup layer's configuration. When the model is loaded, Keras will attempt to read the content of the specified local file and incorporate it into the model state (e.g., retrievable via get_vocabulary()), allowing an attacker to read arbitrary local files on the hosting system.
* Server-Side Request Forgery (SSRF): Keras utilizes tf.io.gfile for file operations. Since tf.io.gfile supports remote filesystem handlers (such as GCS and HDFS) and HTTP/HTTPS protocols, the same mechanism can be leveraged to fetch content from arbitrary network endpoints on the server's behalf, resulting in an SSRF condition.
The security issue is that the feature allowing external path loading was not properly restricted by the safe_mode=True flag, which was intended to prevent such unintended data access. |
| 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. |
| 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. |
| Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent NeuralNLP-NeuralClassifier. 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 _load_checkpoint function. 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 root. Was ZDI-CAN-27184. |
| Deserialization of Untrusted Data vulnerability in designthemes Kids Heaven kids-world allows Object Injection.This issue affects Kids Heaven: from n/a through <= 3.2. |
| Tencent HunyuanDiT model_resume Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanDiT. 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 model_resume function. 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 root. Was ZDI-CAN-27183. |
