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Search Results (2690 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-1741 | 2026-04-15 | 4.7 Medium | ||
| 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. | ||||
| CVE-2025-15453 | 1 Milvus | 1 Milvus | 2026-04-15 | 6.3 Medium |
| A security vulnerability has been detected in milvus up to 2.6.7. This vulnerability affects the function expr.Exec of the file pkg/util/expr/expr.go of the component HTTP Endpoint. The manipulation of the argument code leads to deserialization. Remote exploitation of the attack is possible. The exploit has been disclosed publicly and may be used. A fix is planned for the next release 2.6.8. | ||||
| CVE-2025-14931 | 1 Huggingface | 1 Smolagents | 2026-04-15 | N/A |
| Hugging Face smolagents Remote Python Executor Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face smolagents. Authentication is not required to exploit this vulnerability. The specific flaw exists within the parsing of pickle data. 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 service account. Was ZDI-CAN-28312. | ||||
| CVE-2025-14925 | 1 Huggingface | 1 Accelerate | 2026-04-15 | 7.8 High |
| Hugging Face Accelerate Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Accelerate. 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 checkpoints. 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 process. Was ZDI-CAN-27985. | ||||
| CVE-2025-14922 | 1 Huggingface | 1 Diffusers | 2026-04-15 | 7.8 High |
| Hugging Face Diffusers CogView4 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Diffusers. 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 checkpoints. 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 process. Was ZDI-CAN-27424. | ||||
| CVE-2025-14606 | 1 Tiny Rdm Project | 1 Tiny Rdm | 2026-04-15 | 5 Medium |
| 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. | ||||
| CVE-2025-13805 | 1 Nutzam | 1 Nutzboot | 2026-04-15 | 3.7 Low |
| A weakness has been identified in nutzam NutzBoot up to 2.6.0-SNAPSHOT. This affects the function getInputStream of the file nutzcloud/nutzcloud-literpc/src/main/java/org/nutz/boot/starter/literpc/impl/endpoint/http/HttpServletRpcEndpoint.java of the component LiteRpc-Serializer. Executing a manipulation can lead to deserialization. The attack may be launched remotely. This attack is characterized by high complexity. The exploitability is reported as difficult. The exploit has been made available to the public and could be used for attacks. | ||||
| CVE-2025-13716 | 1 Tencent | 1 Mimicmotion | 2026-04-15 | N/A |
| 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. | ||||
| CVE-2025-13715 | 1 Tencent | 1 Facedetection-dsfd | 2026-04-15 | N/A |
| 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. | ||||
| CVE-2025-13714 | 1 Tencent | 1 Medicalnet | 2026-04-15 | N/A |
| 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. | ||||
| CVE-2025-13712 | 1 Tencent | 1 Hunyuandit | 2026-04-15 | N/A |
| 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. | ||||
| CVE-2025-13710 | 1 Tencent | 1 Hunyuanvideo | 2026-04-15 | N/A |
| 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. | ||||
| CVE-2025-13708 | 1 Tencent | 1 Neuralnlp-neuralclassifier | 2026-04-15 | N/A |
| 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. | ||||
| CVE-2025-13707 | 1 Tencent | 1 Hunyuandit | 2026-04-15 | N/A |
| 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. | ||||
| CVE-2025-13706 | 1 Tencent | 1 Patrickstar | 2026-04-15 | N/A |
| 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. | ||||
| CVE-2025-13467 | 1 Redhat | 1 Build Keycloak | 2026-04-15 | 5.5 Medium |
| A flaw was found in the Keycloak LDAP User Federation provider. This vulnerability allows an authenticated realm administrator to trigger deserialization of untrusted Java objects via a malicious LDAP server configuration. | ||||
| CVE-2025-12058 | 1 Keras | 1 Keras | 2026-04-15 | 5.5 Medium |
| 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. | ||||
| CVE-2025-11135 | 1 Pmticket | 1 Project-management-software | 2026-04-15 | 7.3 High |
| A vulnerability was detected in pmTicket Project-Management-Software up to 2ef379da2075f4761a2c9029cf91d073474e7486. The affected element is the function loadLanguage of the file classes/class.database.php of the component Cookie Handler. Performing manipulation of the argument user_id results in deserialization. The attack can be initiated remotely. The exploit is now public and may be used. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available. The vendor was contacted early about this disclosure but did not respond in any way. | ||||
| CVE-2024-0140 | 2026-04-15 | 6.8 Medium | ||
| NVIDIA RAPIDS contains a vulnerability in cuDF and cuML, where a user could cause a deserialization of untrusted data issue. A successful exploit of this vulnerability might lead to code execution, data tampering, denial of service, and information disclosure. | ||||
| CVE-2025-1077 | 2026-04-15 | N/A | ||
| A security vulnerability has been identified in the IBL Software Engineering Visual Weather and derived products (NAMIS, Aero Weather, Satellite Weather). The vulnerability is present in the Product Delivery Service (PDS) component in specific server configurations where the PDS pipeline utilizes the IPDS pipeline with Message Editor Output Filters enabled. A remote unauthenticated attacker can exploit this vulnerability to send unauthenticated requests to execute the IPDS pipeline with specially crafted Form Properties, enabling remote execution of arbitrary Python code. This vulnerability could lead to a full system compromise of the affected server, particularly if Visual Weather services are run under a privileged user account—contrary to the documented installation best practices. Upgrade to the patched versions 7.3.10 (or higher), 8.6.0 (or higher). | ||||