| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Deserialization of Untrusted Data vulnerability in BoldThemes DentiCare denticare allows Object Injection.This issue affects DentiCare: from n/a through < 1.4.3. |
| 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. |
| A vulnerability classified as critical has been found in thu-pacman chitu 0.1.0. This affects the function torch.load of the file chitu/chitu/backend.py. The manipulation of the argument ckpt_path/quant_ckpt_dir leads to deserialization. An attack has to be approached locally. |
| 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 flaw was found in Open Cluster Management (OCM) when a user has access to the worker nodes which contain the cluster-manager or klusterlet deployments. The cluster-manager deployment uses a service account with the same name "cluster-manager" which is bound to a ClusterRole also named "cluster-manager", which includes the permission to create Pod resources. If this deployment runs a pod on an attacker-controlled node, the attacker can obtain the cluster-manager's token and steal any service account token by creating and mounting the target service account to control the whole cluster. |
| This repository hosts source code implementing the Trusted Computing Group's (TCG) TPM2 Software Stack (TSS). The JSON Quote Info returned by Fapi_Quote has to be deserialized by Fapi_VerifyQuote to the TPM Structure `TPMS_ATTEST`. For the field `TPM2_GENERATED magic` of this structure any number can be used in the JSON structure. The verifier can receive a state which does not represent the actual, possibly malicious state of the device under test. The malicious device might get access to data it shouldn't, or can use services it shouldn't be able to. This
issue has been patched in version 4.1.0. |
| Tencent MimicMotion create_pipeline Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MimicMotion. 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 create_pipeline 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-27208. |
| Tencent FaceDetection-DSFD resnet Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent FaceDetection-DSFD. 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 resnet endpoint. 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-27197. |
| Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MedicalNet. 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 generate_model 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-27192. |
| Tencent Hunyuan3D-1 load_pretrained Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent Hunyuan3D-1. 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_pretrained 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-27191. |
| Tencent HunyuanDiT merge 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 merge endpoint. 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-27190. |
| 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. |
| 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. |
| Tencent PatrickStar merge_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent PatrickStar. 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 merge_checkpoint endpoint. 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-27182. |
| The FluentSMTP – WP SMTP Plugin with Amazon SES, SendGrid, MailGun, Postmark, Google and Any SMTP Provider plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 2.2.82 via deserialization of untrusted input in the 'formatResult' function. This makes it possible for unauthenticated attackers to inject a PHP Object. No known POP chain is present in the vulnerable software. If a POP chain is present via an additional plugin or theme installed on the target system, it could allow the attacker to delete arbitrary files, retrieve sensitive data, or execute code. The vulnerability was partially patched in version 2.2.82. |
| A vulnerability, which was classified as problematic, has been found in VITA-MLLM Freeze-Omni up to 20250421. This issue affects the function torch.load of the file models/utils.py. The manipulation of the argument path leads to deserialization. It is possible to launch the attack on the local host. |
| A vulnerability has been identified in SIMATIC PCS neo V4.0 (All versions), SIMATIC STEP 7 V16 (All versions), SIMATIC STEP 7 V17 (All versions), SIMATIC STEP 7 V18 (All versions < V18 Update 2). Affected applications do not properly restrict the .NET BinaryFormatter when deserializing user-controllable input. This could allow an attacker to cause a type confusion and execute arbitrary code within the affected application.
This is the same issue that exists for .NET BinaryFormatter https://docs.microsoft.com/en-us/visualstudio/code-quality/ca2300. |
| OpenBD 20210306203917-6cbe797 is vulnerable to Deserialization of Untrusted Data. The cookies bdglobals and bdclient_spot of the OpenBD software uses serialized data, which can be used to execute arbitrary code on the system. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. |
| kurwov is a fast, dependency-free library for creating Markov Chains. An unsafe sanitization of dataset contents on the `MarkovData#getNext` method used in `Markov#generate` and `Markov#choose` allows a maliciously crafted string on the dataset to throw and stop the function from running properly. If a string contains a forbidden substring (i.e. `__proto__`) followed by a space character, the code will access a special property in `MarkovData#finalData` by removing the last character of the string, bypassing the dataset sanitization (as it is supposed to be already sanitized before this function is called). Any dataset can be contaminated with the substring making it unable to properly generate anything in some cases. This issue has been addressed in version 3.2.5 and all users are advised to upgrade. There are no known workarounds for this vulnerability. |
| NewPipe is an Android app for video streaming written in Java. It supports exporting and importing backups, as a way to let users move their data to a new device effortlessly. However, in versions 0.13.4 through 0.26.1, importing a backup file from an untrusted source could have resulted in Arbitrary Code Execution. This is because backups are serialized/deserialized using Java's Object Serialization Stream Protocol, which can allow constructing any class in the app, unless properly restricted.
To exploit this vulnerability, an attacker would need to build a backup file containing the exploit, and then persuade a user into importing it. During the import process, the malicious code would be executed, possibly crashing the app, stealing user data from the NewPipe app, performing nasty actions through Android APIs, and attempting Android JVM/Sandbox escapes through vulnerabilities in the Android OS.
The attack can take place only if the user imports a malicious backup file, so an attacker would need to trick a user into importing a backup file from a source they can control. The implementation details of the malicious backup file can be independent of the attacked user or the device they are being run on, and do not require additional privileges.
All NewPipe versions from 0.13.4 to 0.26.1 are vulnerable. NewPipe version 0.27.0 fixes the issue by doing the following: Restrict the classes that can be deserialized when calling Java's Object Serialization Stream Protocol, by adding a whitelist with only innocuous data-only classes that can't lead to Arbitrary Code Execution; deprecate backups serialized with Java's Object Serialization Stream Protocol; use JSON serialization for all newly created backups (but still include an alternative file serialized with Java's Object Serialization Stream Protocol in the backup zip for backwards compatibility); show a warning to the user when attempting to import a backup where the only available serialization mode is Java's Object Serialization Stream Protocol (note that in the future this serialization mode will be removed completely).
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