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Search Results (10517 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-69371 | 2 Ancorathemes, Wordpress | 2 Kindlycare, Wordpress | 2026-04-15 | 9.8 Critical |
| Deserialization of Untrusted Data vulnerability in AncoraThemes KindlyCare kindlycare allows Object Injection.This issue affects KindlyCare: from n/a through <= 1.6.1. | ||||
| CVE-2025-69382 | 2 Themesflat, Wordpress | 2 Themesflat Addons For Elementor, Wordpress | 2026-04-15 | 9.8 Critical |
| Deserialization of Untrusted Data vulnerability in themesflat Themesflat Elementor themesflat-elementor allows Object Injection.This issue affects Themesflat Elementor: from n/a through <= 1.0.1. | ||||
| CVE-2025-69404 | 2 Themerex, Wordpress | 2 Extreme Store, Wordpress | 2026-04-15 | 9.8 Critical |
| Deserialization of Untrusted Data vulnerability in ThemeREX Extreme Store extremestore allows Object Injection.This issue affects Extreme Store: from n/a through <= 1.5.10. | ||||
| CVE-2025-69405 | 2 Themerex, Wordpress | 2 Lorem Ipsum | Books & Media Store, Wordpress | 2026-04-15 | 9.8 Critical |
| Deserialization of Untrusted Data vulnerability in ThemeREX Lorem Ipsum | Books & Media Store lorem-ipsum-books-media-store allows Object Injection.This issue affects Lorem Ipsum | Books & Media Store: from n/a through <= 1.2.11. | ||||
| CVE-2025-7433 | 2026-04-15 | 8.8 High | ||
| A local privilege escalation vulnerability in Sophos Intercept X for Windows with Central Device Encryption 2025.1 and older allows arbitrary code execution. | ||||
| CVE-2025-49655 | 1 Keras | 1 Keras | 2026-04-15 | 9.8 Critical |
| Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a TorchModuleWrapper class to run arbitrary code on an end user’s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files. | ||||
| 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-2025-13716 | 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-2025-14925 | 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-2024-49375 | 2026-04-15 | 9.1 Critical | ||
| Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration. 2. For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. 3. For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API. This issue has been addressed in rasa version 3.6.21 and all users are advised to upgrade. Users unable to upgrade should ensure that they require authentication and that only trusted users are given access. | ||||
| CVE-2024-53649 | 2026-04-15 | 6.5 Medium | ||
| A vulnerability has been identified in SIPROTEC 5 6MD84 (CP300) (All versions < V9.80), SIPROTEC 5 6MD85 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 6MD86 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 6MD89 (CP300) (All versions >= V7.80 < V9.68), SIPROTEC 5 6MU85 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7KE85 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7SA82 (CP100) (All versions >= V7.80 < V8.90), SIPROTEC 5 7SA82 (CP150) (All versions < V9.80), SIPROTEC 5 7SA86 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7SA87 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7SD82 (CP100) (All versions >= V7.80 < V8.90), SIPROTEC 5 7SD82 (CP150) (All versions < V9.80), SIPROTEC 5 7SD86 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7SD87 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7SJ81 (CP100) (All versions >= V7.80 < V8.90), SIPROTEC 5 7SJ81 (CP150) (All versions < V9.80), SIPROTEC 5 7SJ82 (CP100) (All versions >= V7.80 < V8.90), SIPROTEC 5 7SJ82 (CP150) (All versions < V9.80), SIPROTEC 5 7SJ85 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7SJ86 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7SK82 (CP100) (All versions >= V7.80 < V8.90), SIPROTEC 5 7SK82 (CP150) (All versions < V9.80), SIPROTEC 5 7SK85 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7SL82 (CP100) (All versions >= V7.80 < V8.90), SIPROTEC 5 7SL82 (CP150) (All versions < V9.80), SIPROTEC 5 7SL86 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7SL87 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7SS85 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7ST85 (CP300) (All versions < V9.68), SIPROTEC 5 7ST86 (CP300) (All versions < V9.80), SIPROTEC 5 7SX82 (CP150) (All versions < V9.80), SIPROTEC 5 7SX85 (CP300) (All versions < V9.80), SIPROTEC 5 7SY82 (CP150) (All versions < V9.80), SIPROTEC 5 7UM85 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7UT82 (CP100) (All versions >= V7.80 < V8.90), SIPROTEC 5 7UT82 (CP150) (All versions < V9.80), SIPROTEC 5 7UT85 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7UT86 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7UT87 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7VE85 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7VK87 (CP300) (All versions >= V7.80 < V9.80), SIPROTEC 5 7VU85 (CP300) (All versions < V9.80), SIPROTEC 5 Compact 7SX800 (CP050) (All versions < V9.80). Affected devices do not properly limit the path accessible via their webserver. This could allow an authenticated remote attacker to read arbitrary files from the filesystem of affected devices. | ||||
| CVE-2016-15044 | 2026-04-15 | N/A | ||
| A remote code execution vulnerability exists in Kaltura versions prior to 11.1.0-2 due to unsafe deserialization of user-controlled data within the keditorservices module. An unauthenticated remote attacker can exploit this issue by sending a specially crafted serialized PHP object in the kdata GET parameter to the redirectWidgetCmd endpoint. Successful exploitation leads to execution of arbitrary PHP code in the context of the web server process. | ||||
| CVE-2017-20201 | 2 Microsoft, Piriform | 2 Windows, Ccleaner | 2026-04-15 | N/A |
| CCleaner v5.33.6162 and CCleaner Cloud v1.07.3191 (32-bit builds) contained a malicious pre-entry-point loader that diverts execution from __scrt_common_main_seh into a custom loader. That loader decodes an embedded blob into shellcode, allocates executable heap memory, resolves Windows API functions at runtime, and transfers execution to an in-memory payload. The payload performs anti-analysis checks, gathers host telemetry, encodes the data with a two-stage obfuscation, and attempts HTTPS exfiltration to hard-coded C2 servers or month-based DGA domains. Potential impacts include remote data collection and exfiltration, stealthy in-memory execution and persistence, and potential lateral movement. CCleaner was developed by Piriform, which was acquired by Avast in July 2017; Avast later merged with NortonLifeLock to form the parent company now known as Gen Digital. According to vendor advisories, the compromised CCleaner build was released on August 15, 2017 and remediated on September 12, 2017 with v5.34; the compromised CCleaner Cloud build was released on August 24, 2017 and remediated on September 15, 2017 with v1.07.3214. | ||||
| CVE-2017-20202 | 2 Google, Web Developer For Chrome | 2 Chrome, Web Developer For Chrome | 2026-04-15 | N/A |
| Web Developer for Chrome v0.4.9 contained malicious code that generated a domain via a DGA and fetched a remote script. The fetched script conditionally loaded follow-on modules that performed extensive ad substitution and malvertising, displayed fake “repair” alerts that redirected users to affiliate programs, and attempted to harvest credentials when users logged in. Injected components enumerate common banner sizes for substitution, replace third-party ad calls, and redirect victim traffic to affiliate landing pages. Potential impacts include user-level code execution in the browser context, large-scale ad fraud and traffic hijacking, credential theft, and exposure to additional payloads delivered by the actor. The compromise was reported on by the maintainer of Web Developer for Chrome on August 2, 2017 and remediated in v0.5.0. | ||||