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Search Results (2690 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-0956 | 2026-04-15 | 8.1 High | ||
| The WooCommerce Recover Abandoned Cart plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 24.4.0 via deserialization of untrusted input from the 'raccookie_guest_email' cookie. This makes it possible for unauthenticated attackers to inject a PHP Object. No known POP chain is present in the vulnerable software, which means this vulnerability has no impact unless another plugin or theme containing a POP chain is installed on the site. If a POP chain is present via an additional plugin or theme installed on the target system, it may allow the attacker to perform actions like delete arbitrary files, retrieve sensitive data, or execute code depending on the POP chain present. | ||||
| CVE-2025-10363 | 1 Microsoft | 1 Windows | 2026-04-15 | N/A |
| 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 | ||||
| CVE-2025-10433 | 2 1panel, Maxkb | 2 1panel, Maxkb | 2026-04-15 | 6.3 Medium |
| 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. | ||||
| CVE-2025-10950 | 1 Geyang | 1 Ml-logger | 2026-04-15 | 6.3 Medium |
| 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. | ||||
| CVE-2025-10965 | 1 Lazyagi | 1 Lazyllm | 2026-04-15 | 6.3 Medium |
| A security vulnerability has been detected in LazyAGI LazyLLM up to 0.6.1. Affected by this issue is the function lazyllm_call of the file lazyllm/components/deploy/relay/server.py. Such manipulation leads to deserialization. The attack can be launched remotely. The exploit has been disclosed publicly and may be used. | ||||
| CVE-2025-10974 | 1 Sewkinect Project | 1 Sewkinect | 2026-04-15 | 6.3 Medium |
| 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. | ||||
| CVE-2025-10975 | 1 Zeromq | 1 Zeromq | 2026-04-15 | 6.3 Medium |
| A vulnerability was found in GuanxingLu vlarl up to 31abc0baf53ef8f5db666a1c882e1ea64def2997. This vulnerability affects the function experiments.robot.bridge.reasoning_server::run_reasoning_server of the file experiments/robot/bridge/reasoning_server.py of the component ZeroMQ. Performing manipulation of the argument Message results in deserialization. Remote exploitation of the attack is possible. The exploit has been made public and could be used. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. | ||||
| 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-2025-13706 | 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-2025-13707 | 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-2025-13708 | 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-2025-13710 | 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-2025-13712 | 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-2025-13713 | 1 Tencent | 1 Hunyuan3d-1 | 2026-04-15 | N/A |
| 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. | ||||
| 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-2025-13715 | 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-2025-13716 | 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-2025-13805 | 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-2025-15222 | 1 Dromara | 1 Sa-token | 2026-04-15 | 5 Medium |
| 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. | ||||
| CVE-2025-15246 | 2 Aizuda, Apple | 2 Snail-job, Macos | 2026-04-15 | 6.3 Medium |
| 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. | ||||