Export limit exceeded: 418479 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
Search
Search Results (3685 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-2566 | 2026-04-15 | N/A | ||
| Kaleris NAVIS N4 ULC (Ultra Light Client) contains an unsafe Java deserialization vulnerability. An unauthenticated attacker can make specially crafted requests to execute arbitrary code on the server. | ||||
| CVE-2025-27816 | 2026-04-15 | 9.8 Critical | ||
| A vulnerability was discovered in the Arctera InfoScale 7.0 through 8.0.2 where a .NET remoting endpoint can be exploited due to the insecure deserialization of potentially untrusted messages. The vulnerability is present in the Windows Plugin_Host service, which runs on all the servers where InfoScale is installed. The service is used only when applications are configured for Disaster Recovery (DR) using the DR wizard. Disabling the Plugin_Host service manually will eliminate the vulnerability. | ||||
| CVE-2025-31932 | 2026-04-15 | N/A | ||
| Deserialization of untrusted data issue exists in BizRobo! all versions. If this vulnerability is exploited, an arbitrary code is executed on the Management Console. The vendor provides the workaround information and recommends to apply it to the deployment environment. | ||||
| CVE-2025-31935 | 2026-04-15 | 6.2 Medium | ||
| Subnet Solutions PowerSYSTEM Center is affected by a mishandling of exceptional conditions vulnerability. Crafted data that is passed to the API may trigger an exception, resulting in a denial-of-service condition. | ||||
| CVE-2025-33213 | 1 Nvidia | 1 Merlin Transformers4rec | 2026-04-15 | 8.8 High |
| NVIDIA Merlin Transformers4Rec for Linux contains a vulnerability in the Trainer component, where a user could cause a deserialization issue. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering. | ||||
| CVE-2025-33214 | 2 Linux, Nvidia | 2 Linux, Nvtabular | 2026-04-15 | 8.8 High |
| NVIDIA NVTabular for Linux contains a vulnerability in the Workflow component, where a user could cause a deserialization issue. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering. | ||||
| CVE-2025-41701 | 1 Beckhoff | 1 Twincat | 2026-04-15 | 7.8 High |
| An unauthenticated attacker can trick a local user into executing arbitrary commands by opening a deliberately manipulated project file with an affected engineering tool. These arbitrary commands are executed in the user context. | ||||
| CVE-2025-4393 | 2026-04-15 | 6.5 Medium | ||
| Medtronic MyCareLink Patient Monitor has an internal service that deserializes data, which allows a local attacker to interact with the service by crafting a binary payload to crash the service or elevate privileges. This issue affects MyCareLink Patient Monitor models 24950 and 24952: before June 25, 2025 | ||||
| CVE-2025-46738 | 1 Schweitzer Engineering Laboratories | 1 Sel-5033 Acselerator Rtac Software | 2026-04-15 | 6.6 Medium |
| An authenticated attacker can maliciously modify layout data files in the SEL-5033 installation directory to execute arbitrary code. | ||||
| CVE-2025-48200 | 1 Typo3 | 1 Sr Feuser Register Extension | 2026-04-15 | 10 Critical |
| The sr_feuser_register extension through 12.4.8 for TYPO3 allows Remote 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-2025-50472 | 1 Modelscope | 1 Ms Swift | 2026-04-15 | 9.8 Critical |
| The modelscope/ms-swift library thru 2.6.1 is vulnerable to arbitrary code execution through deserialization of untrusted data within the `load_model_meta()` function of the `ModelFileSystemCache()` class. Attackers can execute arbitrary code and commands by crafting a malicious serialized `.mdl` payload, exploiting the use of `pickle.load()` on data from potentially untrusted sources. This vulnerability allows for remote code execution (RCE) by deceiving victims into loading a seemingly harmless checkpoint during a normal training process, thereby enabling attackers to execute arbitrary code on the targeted machine. Note that the payload file is a hidden file, making it difficult for the victim to detect tampering. More importantly, during the model training process, after the `.mdl` file is loaded and executes arbitrary code, the normal training process remains unaffected'meaning the user remains unaware of the arbitrary code execution. | ||||
| CVE-2025-55136 | 2026-04-15 | 5.7 Medium | ||
| ERC (aka Emotion Recognition in Conversation) through 0.3 has insecure deserialization via a serialized object because jsonpickle is used. | ||||
| CVE-2025-58384 | 1 Doxense | 1 Watchdoc | 2026-04-15 | 10 Critical |
| In DOXENSE WATCHDOC before 6.1.1.5332, Deserialization of Untrusted Data can lead to remote code execution through the .NET Remoting library in the Watchdoc administration interface. | ||||
| CVE-2025-58998 | 2 S2member, Wordpress | 2 S2member, Wordpress | 2026-04-15 | 9.8 Critical |
| Deserialization of Untrusted Data vulnerability in Cristián Lávaque s2Member s2member allows Object Injection.This issue affects s2Member: from n/a through <= 250701. | ||||
| CVE-2025-61677 | 1 Iterative | 1 Datachain | 2026-04-15 | 2.5 Low |
| DataChain is a Python-based AI-data warehouse for transforming and analyzing unstructured data. Versions 0.34.1 and below allow for deseriaization of untrusted data because of the way the DataChain library reads serialized objects from environment variables (such as DATACHAIN__METASTORE and DATACHAIN__WAREHOUSE) in the loader.py module. An attacker with the ability to set these environment variables can trigger code execution when the application loads. This issue is fixed in version 0.34.2. | ||||
| CVE-2025-61765 | 2 Python, Python-socketio Project | 2 Python, Python-socketio | 2026-04-15 | 6.4 Medium |
| python-socketio is a Python implementation of the Socket.IO realtime client and server. A remote code execution vulnerability in python-socketio versions prior to 5.14.0 allows attackers to execute arbitrary Python code through malicious pickle deserialization in multi-server deployments on which the attacker previously gained access to the message queue that the servers use for internal communications. When Socket.IO servers are configured to use a message queue backend such as Redis for inter-server communication, messages sent between the servers are encoded using the `pickle` Python module. When a server receives one of these messages through the message queue, it assumes it is trusted and immediately deserializes it. The vulnerability stems from deserialization of messages using Python's `pickle.loads()` function. Having previously obtained access to the message queue, the attacker can send a python-socketio server a crafted pickle payload that executes arbitrary code during deserialization via Python's `__reduce__` method. This vulnerability only affects deployments with a compromised message queue. The attack can lead to the attacker executing random code in the context of, and with the privileges of a Socket.IO server process. Single-server systems that do not use a message queue, and multi-server systems with a secure message queue are not vulnerable. In addition to making sure standard security practices are followed in the deployment of the message queue, users of the python-socketio package can upgrade to version 5.14.0 or newer, which remove the `pickle` module and use the much safer JSON encoding for inter-server messaging. | ||||
| CVE-2025-62515 | 1 Marsupialtail | 1 Quokka | 2026-04-15 | 9.8 Critical |
| pyquokka is a framework for making data lakes work for time series. In versions 0.3.1 and prior, the FlightServer class directly uses pickle.loads() to deserialize action bodies received from Flight clients without any sanitization or validation in the do_action() method. The vulnerable code is located in pyquokka/flight.py at line 283 where arbitrary data from Flight clients is directly passed to pickle.loads(). When FlightServer is configured to listen on 0.0.0.0, this allows attackers across the entire network to perform arbitrary remote code execution by sending malicious pickled payloads through the set_configs action. Additional vulnerability points exist in the cache_garbage_collect, do_put, and do_get functions where pickle.loads is used to deserialize untrusted remote data. | ||||
| CVE-2025-64227 | 2 Boldgrid, Wordpress | 2 Client Invoicing By Sprout Invoices, Wordpress | 2026-04-15 | 9.8 Critical |
| Deserialization of Untrusted Data vulnerability in BoldGrid Client Invoicing by Sprout Invoices sprout-invoices allows Object Injection.This issue affects Client Invoicing by Sprout Invoices: from n/a through <= 20.8.7. | ||||
| CVE-2025-64233 | 1 Wordpress | 1 Wordpress | 2026-04-15 | 9.8 Critical |
| Deserialization of Untrusted Data vulnerability in BoldThemes Codiqa codiqa allows Object Injection.This issue affects Codiqa: from n/a through < 1.2.8. | ||||