| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Deserialization of Untrusted Data vulnerability in Apache Storm.
Versions Affected:
before 2.8.6.
Description:
When processing topology credentials submitted via the Nimbus Thrift API, Storm deserializes the base64-encoded TGT blob using ObjectInputStream.readObject() without any class filtering or validation. An authenticated user with topology submission rights could supply a crafted serialized object in the "TGT" credential field, leading to remote code execution in both the Nimbus and Worker JVMs.
Mitigation:
2.x users should upgrade to 2.8.6.
Users who cannot upgrade immediately should monkey-patch an ObjectInputFilter allow-list to ClientAuthUtils.deserializeKerberosTicket() restricting deserialized classes to javax.security.auth.kerberos.KerberosTicket and its known dependencies. A guide on how to do this is available in the release notes of 2.8.6.
Credit: This issue was discovered by K. |
| The divi-booster WordPress plugin before 5.0.2 does not have authorization and CSRF checks in one of its fixing function, allowing unauthenticated users to modify stored divi-booster WordPress plugin before 5.0.2 options. Furthermore, due to the use of unserialize() on the data, this could be further exploited when combined with a PHP gadget chain to achieve PHP Object Injection |
| Smart Slider 3 Pro version 3.5.1.35 for WordPress and Joomla contains a multi-stage remote access toolkit injected through a compromised update system that allows unauthenticated attackers to execute arbitrary code and commands. Attackers can trigger pre-authentication remote shell execution via HTTP headers, establish authenticated backdoors accepting arbitrary PHP code or OS commands, create hidden administrator accounts, exfiltrate credentials and access keys, and maintain persistence through multiple injection points including must-use plugins and core file modifications. |
| A high-severity remote code execution vulnerability exists in feast-dev/feast version 0.53.0, specifically in the Kubernetes materializer job located at `feast/sdk/python/feast/infra/compute_engines/kubernetes/main.py`. The vulnerability arises from the use of `yaml.load(..., Loader=yaml.Loader)` to deserialize `/var/feast/feature_store.yaml` and `/var/feast/materialization_config.yaml`. This method allows for the instantiation of arbitrary Python objects, enabling an attacker with the ability to modify these YAML files to execute OS commands on the worker pod. This vulnerability can be exploited before the configuration is validated, potentially leading to cluster takeover, data poisoning, and supply-chain sabotage. |
| Deserialization of Untrusted Data vulnerability in BoldThemes Goldenblatt goldenblatt allows Object Injection.This issue affects Goldenblatt: from n/a through < 1.3.0. |
| 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 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 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 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 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. |
| The vulnerability arises when a client fetches a tools’ JSON specification, known as a Manual, from a remote Manual Endpoint. While a provider may initially serve a benign manual (e.g., one defining an HTTP tool call), earning the clients’ trust, a malicious provider can later change the manual to exploit the client. |
| A security vulnerability has been detected in tiny-rdm Tiny RDM up to 1.2.5. Affected by this vulnerability is the function pickle.loads of the file pickle_convert.go of the component Pickle Decoding. The manipulation leads to deserialization. The attack can be initiated remotely. A high degree of complexity is needed for the attack. The exploitation appears to be difficult. The exploit has been disclosed publicly and may be used. The project was informed of the problem early through an issue report but has not responded yet. |
| A weakness has been identified in Dromara Sa-Token up to 1.44.0. This affects the function ObjectInputStream.readObject of the file SaJdkSerializer.java. Executing manipulation can lead to deserialization. The attack may be launched remotely. This attack is characterized by high complexity. It is indicated that the exploitability is difficult. The vendor was contacted early about this disclosure but did not respond in any way. |
| A vulnerability has been found in Dromara Sa-Token up to 1.44.0. This issue affects the function ObjectInputStream.readObject of the file SaSerializerTemplateForJdkUseBase64.java. Such manipulation leads to deserialization. The attack can be executed remotely. This attack is characterized by high complexity. The exploitability is assessed as difficult. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way. |
| A vulnerability was determined in aizuda snail-job up to 1.7.0 on macOS. Affected by this vulnerability is the function FurySerializer.deserialize of the component API. This manipulation of the argument argsStr causes deserialization. Remote exploitation of the attack is possible. The exploit has been publicly disclosed and may be utilized. |
| Tencent HunyuanVideo load_vae Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanVideo. 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_vae 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-27186. |
| A vulnerability classified as problematic was found in b1gMail up to 7.4.1-pl1. Affected by this vulnerability is an unknown functionality of the file src/admin/users.php of the component Admin Page. The manipulation of the argument query/q leads to deserialization. The attack can be launched remotely. Upgrading to version 7.4.1-pl2 is able to address this issue. The identifier of the patch is 4816c8b748f6a5b965c8994e2cf10861bf6e68aa. It is recommended to upgrade the affected component. The vendor acted highly professional and even fixed this issue in the discontinued commercial edition as b1gMail 7.4.0-pl3. |
| 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. |
| NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering. |
