Total
1675 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2023-20944 | 1 Google | 1 Android | 2025-03-21 | N/A | 7.8 HIGH |
| In run of ChooseTypeAndAccountActivity.java, there is a possible escalation of privilege due to unsafe deserialization. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12L Android-13Android ID: A-244154558 | |||||
| CVE-2025-24813 | 1 Apache | 1 Tomcat | 2025-03-21 | N/A | 9.8 CRITICAL |
| Path Equivalence: 'file.Name' (Internal Dot) leading to Remote Code Execution and/or Information disclosure and/or malicious content added to uploaded files via write enabled Default Servlet in Apache Tomcat. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.2, from 10.1.0-M1 through 10.1.34, from 9.0.0.M1 through 9.0.98. If all of the following were true, a malicious user was able to view security sensitive files and/or inject content into those files: - writes enabled for the default servlet (disabled by default) - support for partial PUT (enabled by default) - a target URL for security sensitive uploads that was a sub-directory of a target URL for public uploads - attacker knowledge of the names of security sensitive files being uploaded - the security sensitive files also being uploaded via partial PUT If all of the following were true, a malicious user was able to perform remote code execution: - writes enabled for the default servlet (disabled by default) - support for partial PUT (enabled by default) - application was using Tomcat's file based session persistence with the default storage location - application included a library that may be leveraged in a deserialization attack Users are recommended to upgrade to version 11.0.3, 10.1.35 or 9.0.99, which fixes the issue. | |||||
| CVE-2022-2436 | 1 W3eden | 1 Download Manager | 2025-03-21 | N/A | 8.8 HIGH |
| The Download Manager plugin for WordPress is vulnerable to deserialization of untrusted input via the 'file[package_dir]' parameter in versions up to, and including 3.2.49. This makes it possible for authenticated attackers with contributor privileges and above to call files using a PHAR wrapper that will deserialize the data and call arbitrary PHP Objects that can be used to perform a variety of malicious actions granted a POP chain is also present. It also requires that the attacker is successful in uploading a file with the serialized payload. | |||||
| CVE-2024-13824 | 1 Potenzaglobalsolutions | 1 Ciyashop | 2025-03-21 | N/A | 9.8 CRITICAL |
| The CiyaShop - Multipurpose WooCommerce Theme theme for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 4.19.0 via deserialization of untrusted input in the 'add_ciyashop_wishlist' and 'ciyashop_get_compare' functions. 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-2025-29807 | 2025-03-21 | N/A | 8.7 HIGH | ||
| Deserialization of untrusted data in Microsoft Dataverse allows an authorized attacker to execute code over a network. | |||||
| CVE-2025-30160 | 2025-03-20 | N/A | N/A | ||
| Redlib is an alternative private front-end to Reddit. A vulnerability has been identified in Redlib where an attacker can cause a denial-of-service (DOS) condition by submitting a specially crafted base2048-encoded DEFLATE decompression bomb to the restore_preferences form. This leads to excessive memory consumption and potential system instability, which can be exploited to disrupt Redlib instances. This vulnerability is fixed in 0.36.0. | |||||
| CVE-2024-9953 | 1 Cert | 1 Vince | 2025-03-20 | N/A | 4.9 MEDIUM |
| A potential denial-of-service (DoS) vulnerability exists in CERT VINCE software versions prior to 3.0.8. An authenticated administrative user can inject an arbitrary pickle object into a user’s profile, which may lead to a DoS condition when the profile is accessed. While the Django server restricts unpickling to prevent server crashes, this vulnerability could still disrupt operations. | |||||
| CVE-2025-23120 | 2025-03-20 | N/A | 9.9 CRITICAL | ||
| A vulnerability allowing remote code execution (RCE) for domain users. | |||||
| CVE-2024-12029 | 2025-03-20 | N/A | 9.8 CRITICAL | ||
| A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious code in model files, which is executed upon loading. This issue is fixed in version 5.4.3. | |||||
| CVE-2024-9701 | 2025-03-20 | N/A | 9.8 CRITICAL | ||
| A Remote Code Execution (RCE) vulnerability has been identified in the Kedro ShelveStore class (version 0.19.8). This vulnerability allows an attacker to execute arbitrary Python code via deserialization of malicious payloads, potentially leading to a full system compromise. The ShelveStore class uses Python's shelve module to manage session data, which relies on pickle for serialization. Crafting a malicious payload and storing it in the shelve file can lead to RCE when the payload is deserialized. | |||||
| CVE-2024-9052 | 2025-03-20 | N/A | 9.8 CRITICAL | ||
| vllm-project vllm version 0.6.0 contains a vulnerability in the distributed training API. The function vllm.distributed.GroupCoordinator.recv_object() deserializes received object bytes using pickle.loads() without sanitization, leading to a remote code execution vulnerability. | |||||
| CVE-2024-8502 | 2025-03-20 | N/A | 9.8 CRITICAL | ||
| A vulnerability in the RpcAgentServerLauncher class of modelscope/agentscope v0.0.6a3 allows for remote code execution (RCE) via deserialization of untrusted data using the dill library. The issue occurs in the AgentServerServicer.create_agent method, where serialized input is deserialized using dill.loads, enabling an attacker to execute arbitrary commands on the server. | |||||
| CVE-2024-7804 | 2025-03-20 | N/A | 9.8 CRITICAL | ||
| A deserialization vulnerability exists in the Pytorch RPC framework (torch.distributed.rpc) in pytorch/pytorch versions <=2.3.1. The vulnerability arises from the lack of security verification during the deserialization process of PythonUDF objects in pytorch/torch/distributed/rpc/internal.py. This flaw allows an attacker to execute arbitrary code remotely by sending a malicious serialized PythonUDF object, leading to remote code execution (RCE) on the master node. | |||||
| CVE-2024-12433 | 2025-03-20 | N/A | 9.8 CRITICAL | ||
| A vulnerability in infiniflow/ragflow versions v0.12.0 allows for remote code execution. The RPC server in RagFlow uses a hard-coded AuthKey 'authkey=b'infiniflow-token4kevinhu'' which can be easily fetched by attackers to join the group communication without restrictions. Additionally, the server processes incoming data using pickle deserialization via `pickle.loads()` on `connection.recv()`, making it vulnerable to remote code execution. This issue is fixed in version 0.14.0. | |||||
| CVE-2024-12044 | 2025-03-20 | N/A | 9.8 CRITICAL | ||
| A remote code execution vulnerability exists in open-mmlab/mmdetection version v3.3.0. The vulnerability is due to the use of the `pickle.loads()` function in the `all_reduce_dict()` distributed training API without proper sanitization. This allows an attacker to execute arbitrary code by broadcasting a malicious payload to the distributed training network. | |||||
| CVE-2024-11041 | 2025-03-20 | N/A | 9.8 CRITICAL | ||
| vllm-project vllm version v0.6.2 contains a vulnerability in the MessageQueue.dequeue() API function. The function uses pickle.loads to parse received sockets directly, leading to a remote code execution vulnerability. An attacker can exploit this by sending a malicious payload to the MessageQueue, causing the victim's machine to execute arbitrary code. | |||||
| CVE-2024-11039 | 2025-03-20 | N/A | 8.8 HIGH | ||
| A pickle deserialization vulnerability exists in the Latex English error correction plug-in function of binary-husky/gpt_academic versions up to and including 3.83. This vulnerability allows attackers to achieve remote command execution by deserializing untrusted data. The issue arises from the inclusion of numpy in the deserialization whitelist, which can be exploited by constructing a malicious compressed package containing a merge_result.pkl file and a merge_proofread_en.tex file. The vulnerability is fixed in commit 91f5e6b. | |||||
| CVE-2024-10553 | 2025-03-20 | N/A | 9.8 CRITICAL | ||
| A vulnerability in the h2oai/h2o-3 REST API versions 3.46.0.4 allows unauthenticated remote attackers to execute arbitrary code via deserialization of untrusted data. The vulnerability exists in the endpoints POST /99/ImportSQLTable and POST /3/SaveToHiveTable, where user-controlled JDBC URLs are passed to DriverManager.getConnection, leading to deserialization if a MySQL or PostgreSQL driver is available in the classpath. This issue is fixed in version 3.47.0. | |||||
| CVE-2025-27781 | 2025-03-19 | N/A | N/A | ||
| Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in inference.py. `model_file` in inference.py as well as `model_file` in tts.py take user-supplied input (e.g. a path to a model) and pass that value to the `change_choices` and later to `get_speakers_id` function, which loads that model with `torch.load` in inference.py (line 326 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available on the `main` branch of the repository. | |||||
| CVE-2025-27780 | 2025-03-19 | N/A | N/A | ||
| Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in model_information.py. `model_name` in model_information.py takes user-supplied input (e.g. a path to a model) and pass that value to the `run_model_information_script` and later to `model_information` function, which loads that model with `torch.load` in rvc/train/process/model_information.py (on line 16 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available in the `main` branch of the repository. | |||||